Tag: modal shift

  • Where you put a railway

    Coalition for Better Rail · ALTO HSR Citizen Research Initiative · The HPR Research Report

    Where you put a railway decides almost everything else

    Build beside a highway that already exists, or cut a new line through open country. That single choice sets the carbon, the habitat damage, the disruption during construction and the opposition — and it sets the cost too.

    Chapter 5 · The HPR Research Report · September 2026

    −15 Mt

    Carbon removed over fifty years by the brownfield route, on our model

    +15 Mt

    Carbon added over the same period by the greenfield route

    29 v 65

    Community friction scores, brownfield against greenfield

    The environmental case for a railway is usually made with one number: the carbon saved by taking people out of cars and planes. That number matters, and we deal with it first. But the bigger environmental fact about a railway is decided before a single train runs — by where the line is put.

    A route that follows an existing transport corridor inherits ground that has already been cleared, drained, fenced and cut through. A route driven across open country creates a new line of disturbance where there was none. The same choice governs the human side: whether a project takes its land from beside a highway people already live next to, or from farms and communities that never expected a railway.

    This page covers the four consequences that follow from that one decision. On each of them the two routes differ not by a margin but in kind.

    1. Carbon: the two routes have opposite signs

    Over fifty years the brownfield route is a net removal of carbon. The greenfield route, measured the same way, is a net emitter. Not smaller — opposite.

    Three things drive that. Construction carbon is the one-off emission of building the line. Building at grade beside an existing highway needs no tunnelling through the Canadian Shield, no deep cuts, and no treatment of the unstable marine clay south of Ottawa. Our estimate is 4.9 Mt for the brownfield line against 14.9 Mt for the greenfield one — roughly three times more.

    Running the trains turns out to be almost a rounding error either way. On Ontario’s grid, electric traction at 200 km/h emits about 6 grams of carbon per passenger-kilometre.

    Freight is what decides it. A passenger line built beside the existing freight railway frees capacity on that railway. Every long-haul truck that moves off Highway 401 onto rail saves about a quarter of a tonne of carbon on a typical haul. At 3,000 trucks a day — about eight freight trains — that is roughly 13.5 Mt over fifty years. The greenfield route has no freight function, so it cannot claim any of it.

    Fifty-year carbon balance — our estimate, central case
    What countsBrownfield (electric)Greenfield
    Building it+4.9 Mt+14.9 Mt
    Running the trains+1.3 Mt+5.4 Mt
    Roads closed by fencing—+1.7 Mt
    Trucks moved to rail−13.5 Mtnone
    Passengers out of cars−7.9 Mt−7 Mt
    Net over 50 years−15.2 Mt+15 Mt

    Both columns are Initiative estimates, not published figures. A dash means the project structurally has no such term. The two routes differ in length — roughly 485 km against roughly 1,000 km — which is itself part of the comparison, because the longer line is the heavier one to build.

    Why the freight credit matters so much

    The carbon saved by taking a passenger out of a car shrinks every year as more cars become electric. By the 2050s it is close to nothing. The carbon saved by taking a truck off the road and putting the load on a train does not shrink the same way, because trucks stay diesel far longer — and it grows as the electricity grid gets cleaner.

    So the brownfield route’s carbon case rests on something that strengthens with time. The greenfield route’s rests on something that weakens.

    That shows up most clearly in how long each takes to pay back its construction carbon. The brownfield line breaks even in 12 to 18 years and stays in credit after that, and the timing barely changes with passenger numbers because freight carries it. The greenfield line depends entirely on passengers: about 22 years at the ridership its reference class suggests, 39 years at a more central figure, and at low ridership it does not break even within fifty years at all.

    2. Habitat: a new barrier in the wrong place

    A railway is a barrier to animals. Where you put the barrier decides whether it cuts through habitat that is still whole, or adds one more strand to ground that is already crossed by a highway and a freight line.

    The greenfield alignment runs through or beside three of eastern Ontario’s most sensitive landscapes.

    The Frontenac Arch

    A billion-year-old granite ridge linking the Canadian Shield to the Adirondacks, a UNESCO Biosphere Reserve since 2002, and the narrowest point on the wildlife corridor running from Algonquin to the Adirondacks. It holds Blanding’s turtle, the grey ratsnake, the eastern whip-poor-will and somewhere between half and two thirds of Canada’s cerulean warblers, along with fisher, black bear, moose and eastern wolf.

    Because it is already the tightest pinch-point in a continental corridor, a new barrier laid across it does disproportionate harm. It does not just disturb habitat; it narrows the last gap animals still move through.

    The Napanee Limestone Plain

    Alvar — flat limestone pavement with almost no soil, flooded in spring and parched in summer. It exists in only two places on Earth, the Great Lakes basin and the Baltic, and about 85 per cent of North America’s alvar is in Ontario. It supports part of Ontario’s remaining eastern loggerhead shrike population, a bird now down to a handful of nesting pairs province-wide.

    A brownfield route is not ecologically free. Its right-of-way still crosses natural land. The point is comparative: it adds a strand where a barrier already exists, rather than opening a fresh one through the ground that the biosphere designation exists to protect.

    We say that plainly because it matters. The corridor audit in Chapter 4 finds the brownfield spine still crosses about 41 per cent natural cover. It is not a route through nothing. It is a route through ground that a four-lane highway and a Class I freight main already run down.

    3. Construction: where the trucks go

    A 479-kilometre construction site has to be fed. The brownfield spine needs roughly 9.8 million tonnes of fill, ballast, track and concrete — about 20,400 tonnes for every kilometre built. Delivered entirely by road, that is around 390,000 loaded truck trips, running on the same Highway 401 the railway is being built beside, during the decade that highway is itself being widened.

    Britain has already run this experiment. HS2 moved more than 10 million tonnes of material by rail, and the reason it did is the instructive part: it was not a carbon measure. Local councils refused the lorry routes the project had planned. Moving material by train was how the works stayed consented.

    The honest size of the carbon saving

    Moving 60 to 80 per cent of the material by rail instead of road would avoid somewhere between 0.05 and 0.08 Mt of carbon. That is one to two per cent of the line’s construction emissions. It is a real saving and a small one, and the carbon case on this page does not rest on it.

    What it changes is something else: whether people along the route can live with the construction. That is the variable that decides whether a corridor gets built at all.

    And this is not a strategy a project can simply decide to adopt. It is a property of where the line is. A route beside an existing freight railway has yards at Belleville, Kingston, Brockville, Cornwall and Coteau available as railheads, and on the Ottawa legs runs on publicly owned track. A greenfield route through the Frontenac Arch has no railway to deliver to. Materials arrive by road on haul roads built for the purpose, and excavated rock leaves the same way, through the same rural communities.

    4. Communities: friction is priced into the cost

    We score this two ways. The Latent Friction Index measures the structural friction a route will generate, before any opposition has appeared. The Community Friction Index measures opposition that has actually materialised. On the forward measure the brownfield spine scores about 29 and the greenfield corridor about 65. On the realised measure the greenfield project has already reached 54, and is rising.

    This is not only a political point. In our reference-class cost model, community friction is a statistically significant predictor of cost escalation — it carries most of the explanatory power in what a kilometre actually costs to build, across the international sample. The friction a new corridor generates gets priced into the bill.

    A low-friction route is not just quieter. It is cheaper, and those are the same fact seen from two sides.

    The difference comes down to where the land is taken from. Both routes need new land; a railway cannot be laid inside a live highway. But land taken beside an existing highway and freight line is already fragmented, already severed, and already next to infrastructure. Land taken across open country is none of those things, and the people it is taken from had no prior relationship with the project.

    One thing that cuts the other way

    The margin beside Highway 401 that makes the brownfield route cheap is being consumed — by interchange development, logistics parks moving east, subdivisions at growth centres and utility lock-in. Chapter 4 puts the cost of waiting until the corridor fills in at around $20 billion, which would roughly halve the route’s benefit-cost ratio and erase the advantage that is the reason to prefer it.

    The brownfield option is the low-friction one, but only while the window is open.

    5. What the corridor could give back

    Everything above treats the corridor as something done to the land it crosses. There is a reciprocal question worth asking.

    Against the intuition that Ontario’s sun improves as you go south and west, the province’s strongest solar yields are in the east. Kingston records about 1,194 kilowatt-hours per installed kilowatt per year and Ottawa about 1,140, against roughly 1,096 for Toronto and 1,084 for London. The railway is proposed through the sunniest ground in southern Ontario — and developers noticed first. Four ten-megawatt solar farms stand within a few kilometres of the 401 around Ingleside alone — Rutley, Cornwall, David Brown and South Stormont, built between 2012 and 2015 — and at Edwardsburgh Cardinal a partnership including the Algonquins of Pikwàkanagàn First Nation is building the largest battery storage system in Canada.

    This matters for a reason that has nothing to do with electricity. A right-of-way takes a strip of land and pays for it once. A generation lease pays on the land that remains, every year, for decades. The awkward leftover parcels created by a railway are poor ground for crops and perfectly good ground for solar panels. The Rutley farm gives a sense of the scale: ten megawatts across about ninety acres.

    Being clear about the numbers

    The contracts that built the existing solar farms paid up to 44.3 cents a kilowatt-hour and are closed to new entrants. At today’s rates a ten-megawatt facility earns closer to a million dollars a year than the five to seven million those contracts paid. The existing arrays are a poor guide to what a new one is worth.

    A million a year through a lease and a tax roll is still a different thing from a single expropriation cheque.

    The limits deserve stating as plainly as the opportunity. Solar output peaks in summer and stops at night, while a railway’s demand is flat and year-round — so this is a commercial and community proposition, not a way to power trains. Provincial policy restricts ground-mount solar on prime farmland. Connection capacity governs what can actually be built. None of that is a reason to leave it unexamined; it is a reason to examine it while the route is still being decided, rather than after the land has been taken and the relationships have set.

    How to read the numbers on this page

    Figures attributed to a named source — Alto, HS2, the C.D. Howe Institute, Metrolinx, Environment and Climate Change Canada, the Treasury Board, Natural Resources Canada, UNESCO, or a named developer — are quoted from the full chapter’s source lists and can be checked there.

    Everything else is output from our own models: both columns of the carbon table, the freight credit, the breakeven years, the friction scores, the land-cover audit, the materials tonnage and the delay-escalation estimate. These are estimates built on stated assumptions, not measurements. The assumptions are set out in the full report so that any of them can be replaced and the arithmetic re-run.

    Where Alto has not published a figure, we say so rather than inferring one, and we make no claim about why any figure has not been published.

    Read the full chapter

    Chapter 5 — Environmental and Community Impact (PDF)

    Nineteen pages. The full lifecycle carbon account with its discount-rate sensitivity, the traction comparison including bi-mode trainsets, the species and habitat assessments, the materials-by-rail analysis against HS2 outturn, the friction indices, the corridor solar assessment, and the complete source lists for each section.

    Sources and notes

    1Discount rates: Metrolinx Business Case Manual Volume 2 (3.5 per cent); Environment and Climate Change Canada, social cost of greenhouse gas emissions (2 per cent near-term Ramsey rate); Treasury Board of Canada Secretariat, Canadian Cost-Benefit Analysis Guide: Regulatory Proposals (8 per cent); US Office of Management and Budget Circular A-4, revised November 2023, in which the 7 per cent capital rate was withdrawn.
    2C.D. Howe Institute, All Aboard: The Benefits of Faster, More Frequent Passenger Trains between Ontario and Québec (D. Jones and T. Fariha), February 2025 — 3.5 per cent social discount rate over a 60-year appraisal, and the only published benefit analysis of this corridor.
    3Habitat: UNESCO Man and the Biosphere Programme, Frontenac Arch Biosphere Reserve; Birds Canada, cerulean warbler profile; COSEWIC and Environment and Climate Change Canada recovery strategies; Important Bird and Biodiversity Areas Canada, Napanee Limestone Plain (ON152); Wildlife Preservation Canada, eastern loggerhead shrike. Initiative assessments of the Frontenac Arch (A. Hyett) and the Napanee Limestone Plain (S. Moore and K. Hennige), March 2026.
    4Materials by rail: HS2 Ltd, Materials by Rail, HS2 Learning Legacy, and HS2 media releases 2020–2023; Crossrail Excavated Materials Story; Railway Association of Canada on rail fuel efficiency.
    5Solar: Natural Resources Canada photovoltaic potential data; Canada Energy Regulator market snapshot; Firelight Infrastructure Partners, Saturn Power and Clearlight Energy project data; The Energy Mix on the Skyview 2 storage project at Edwardsburgh Cardinal.
    Coalition for Better Rail  ·  ALTO HSR Citizen Research Initiative  ·  beyondalto.ca  ·  citizenresearch.ca  ·  The HPR Research Report · Chapter 5 Independent, non-partisan research on Canada’s proposed Toronto–Québec City high-speed rail corridor. This page is a plain-language summary of Chapter 5; the full chapter sets out the models, the tables and the complete source lists. Nothing on this page is a statement about the motives or conduct of any person or organisation. It is a comparison of two route choices and of what follows from each.

  • 3 claims 1 fare

    Three Claims, One Fare

    ALTO makes three promises about the high-speed railway. All three depend on one number it has never published — the price of a ticket.

    ALTO HSR Citizen Research Initiative · Fare and Ridership Note 1 · Published August 2026
    The argument in plain terms

    ALTO promises three things at once: that 24 million people a year will ride the new railway; that they will save 9.3 billion hours of travel time, worth $49.5 billion; and that ticket sales will cover the cost of running and maintaining the line. Each promise sits in a different part of the report, backed by different evidence.

    All three depend on one number the report never gives: the price of a ticket. Cheap tickets fill trains, which is what the first two promises need. Expensive tickets bring in the revenue the third promise needs. A fare cannot be cheap and expensive at the same time, so the three promises pull against one another.

    Work out the single fare at which all three could hold, and it comes to about 19 cents per kilometre travelled — roughly $83 for a typical 428-kilometre journey. At that price the railway breaks even only if 24 million people ride it, and 24 million people ride it only if the corridor is generating about 74 million intercity trips a year, by all modes. On ALTO’s own population figures, the corridor will generate about 34 million.

    So making all three promises at once means making a fourth one that is never stated: that by 2055 the corridor would have to be generating more than twice the intercity travel that ALTO’s own population figures produce. Nobody forecasts travel on that scale, and that is exactly the difficulty.

    ⚠ How to read the fares on this page

    Fares here are given per kilometre travelled, because that is how railway revenue is calculated. A passenger-kilometre is simply one traveller going one kilometre, so a fare of $0.15 per kilometre means a passenger pays 15 cents for every kilometre of their journey. Multiply by 428 km — the average journey — for a rough ticket price: $0.15 is about $64, $0.22 about $94, $0.28 about $120, and the $0.193 break-even fare about $83.

    Modal Shift Notes and O&M Notes, referred to throughout, are earlier papers in this series and are available at citizenresearch.ca.

    2.19×
    how much more intercity travel the corridor would have to generate for all three promises to hold: 73.9 million trips a year against 33.7 million forecast
    §6.1
    $0.193
    the only fare at which all three could hold — about $83 a journey. At that price the railway carries about 11 million riders, not 24 million
    §6.1
    63%
    the most of its running costs the railway can recover from fares at any price. Fares pay about 63 cents of every dollar; the rest comes from the public
    §8
    Download
    Three Claims, One Fare — Full Brief (PDF)
    The complete arithmetic, set out step by step, with every figure sourced so that any part of it can be checked or rejected

    Download PDF

    The Three Promises

    Three claims that are only ever made separately

    Where this comes from. ALTO is the company proposing the high-speed railway. In August 2026 it published a report, Canada’s Moment: The Economic Opportunity of High-Speed Rail, making the three claims set out below. This page is a plain-language version of an independent check of those claims against published population and travel data — in effect, a fact-check of ALTO’s report. Every step of the arithmetic is shown so that any part of it can be rejected.

    Three numbers do the persuasive work in ALTO’s report Canada’s Moment. They appear in different chapters, rest on different evidence, and are never set side by side. Put side by side, they turn out to want opposite things from the price of a ticket.

    The Promise What it needs the ticket price to do
    1. Ridership. 24 million passengers a year by 2055, rising after that. Be low. The cheaper the ticket, the more people ride — and for a family of three or more, driving already costs almost nothing extra.
    2. Economic benefit. 9.3 billion hours of travel time saved, worth $49.5 billion. Be low. Every benefit counted in the appraisal — time, car costs, safety, congestion, emissions — depends on how many people actually switch to the train.
    3. Paying its own way. “The railway pays for its own operations and maintenance.” Be high. Most of the cost of running the railway stays the same whether the trains are full or empty, so covering it depends on how much each passenger pays.

    The first two promises pull the fare down. The third pulls it up. That is not a criticism of high-speed rail; every high-speed railway ever built faces the same squeeze. The criticism is that the report presents all three as true at the same time without ever showing the fare that would deliver them.

    Why These Are One Promise

    Everything runs through the ticket price

    Picture a single dial: the price of a ticket. Turning that one dial moves all three of ALTO’s claims at the same time, because all three are calculated from it. Turn the price down and more people ride, which automatically raises the total hours saved, because total hours saved is just hours per person multiplied by the number of people. But turn the price down and each ticket brings in less money, so covering the railway’s costs gets harder. The three claims are not three separate discoveries. They are three readings taken off the same dial — and ALTO’s report never shows you the setting it used.

    The fare is not a detail to be settled later, once the business case is agreed. It is the number the business case turns on. It enters the arithmetic twice, pulling in opposite directions, and everything else follows automatically.

    1 — The fare sets how many people ride

    The fare sets how expensive the train is next to driving or flying, which sets the share of trips that choose rail. Apply that share to the total number of intercity trips in the corridor and you have annual ridership.

    2 — Ridership sets both the benefits and the revenue

    Riders multiplied by the length of the average journey gives total passenger-kilometres. That single quantity drives the hours saved and the ticket revenue. There is no way to improve one without damaging the other.

    3 — So the first two promises are the same promise

    If the hours saved per passenger are held at ALTO’s own figure, the economic benefit is simply the number of riders multiplied by a fixed amount. The $49.5 billion is the 24 million riders, restated in dollars. That leaves two propositions, not three: one about demand, one about covering costs.

    Three numbers agreeing is not three checks passing

    If one team checked ridership, another checked time savings and a third checked whether fares cover costs — each using its own method — and all three agreed, that would mean something. That is not what happens here. All three start from the same unpublished ticket price, so of course they agree. They are three shadows cast by the same object. They will always line up, and their lining up is no evidence that the object is the right shape.

    4 — And two propositions have one joint answer

    Two equations with two unknowns — the fare and the number of riders — will usually have a solution. The claims are not inconsistent with one another. The question is what that solution demands of the corridor.

    The Travel Market

    How much intercity travel there is to win

    The corridor’s total travel market is its population multiplied by the number of intercity trips each resident makes on the routes the railway would serve. Modal Shift Note 3 puts the 2025 corridor population at about 14.9 million across the cities directly served, growing at 1.0 per cent a year, and puts intercity travel at about 1.68 trips per resident per year.

    20.1M
    people living in the corridor in 2055, on the central growth path
    Modal Shift Note 3
    33.7M
    intercity trips a year in 2055, by every mode — car, air, bus and rail combined
    20.1M × 1.68 trips each
    71%
    the share of that entire market ALTO’s 24 million riders would represent
    24.0M ÷ 33.7M

    Seventy-one per cent of all intercity travel — car, air, bus and rail together — is a share no high-speed railway is known to have won. It is worth being precise about this, because the famous European figures look higher and are not the same measure. Roughly 75 per cent of Madrid–Barcelona travellers choose the train over the plane, and more than 80 per cent on Madrid–Seville; those are shares of the rail-and-air market, which excludes the car. Against a car that costs its driver almost nothing extra to fill, no comparable share of the whole market has been recorded. Nor is 71 per cent a forecast that fails at some fares and works at others. As the sections below show, no fare produces it.

    What Each Ticket Price Delivers

    Three realistic fare levels, and what each one buys

    Modal Shift Note 3 sets out three combinations of fare and subsidy spanning the realistic range of policy, and reports the share of the market each one wins. The dollar figures are this note’s translation of those descriptions into a fare per kilometre; Note 3 publishes no dollar figures, so the translation is an inference. Every figure below uses the version most favourable to the project.

    The Fare Level What it delivers
    A — Heavy subsidy. $0.15 per km (about $64 a journey). Fares held at today’s VIA Rail levels, with $2.5–4.5 billion a year of public money covering construction costs. 13.5 million riders a year — 38–42% of the market. $27.8 billion of benefit against the $49.5 billion claimed. Fares cover 54% of running costs.
    All three promises:Not met
    B — Moderate subsidy. $0.22 per km (about $94 a journey). Fares matched to airfares, with $1.5–2.5 billion a year of public money covering construction costs. The arrangement the published business case appears to assume. 10.1 million riders a year — 28–32% of the market. $20.9 billion of benefit. Fares cover 64% of running costs — the best result available at any price.
    All three promises:Not met
    C — Minimal subsidy. $0.28 per km (about $120 a journey). Fares set by a private operator to maximise revenue, above airfare levels, with $0.5–1.5 billion a year of residual public support. Closest to a commercially structured P3; ALTO has published no payment mechanism. 7.3 million riders a year — 20–23% of the market. $15.0 billion of benefit. Fares cover 63% of running costs.
    All three promises:Not met
    ALTO as published. No fare stated anywhere in the report. 24.0 million riders a year — 71% of the market. $49.5 billion of benefit. Fares cover 100% of running costs.
    Fare required to produce this:Never published

    Even on the most generous treatment — the heaviest subsidy, mature ridership rather than the slower build-up of the opening years, and ALTO’s own hours saved per passenger accepted exactly as published — the economic benefit is $27.8 billion, not $49.5 billion. That is a reduction of 44 per cent arising from the ridership side alone.

    Paying the Running Costs

    Why cheap tickets cannot fix the finances

    Think of a gym. It pays rent whether 10 people turn up or 1,000 — that cost is fixed. It also buys more towels and cleaning supplies as more people come — that cost varies with use. A railway works the same way, and the split matters more than it might sound.

    Running a railway costs money in two ways. Some costs stay the same however many people ride — track, structures, signalling, stations, head office, and buying the trains. Others grow with the number of trains you run. On ALTO’s own figures, spread over the life of the assets at its own 3.5 per cent rate, the fixed block is $1,130 million a year, and 61 per cent of the total cost does not move with ridership at all.

    That is why cutting fares to fill the trains does not fix the finances. It helps a little at first — more passengers spread across the same fixed cost — and then makes matters worse, because each extra passenger is paying less. Cost recovery does not simply improve as fares rise. It improves, peaks, and then falls back.

    Chart: economic benefit delivered and share of running costs covered by fares, at each fare. Neither of ALTO's two claims is ever reached.

    Figure 2. Neither promise is ever reached. The economic benefit delivered (navy, left axis) and the share of running costs covered by fares (rust, right axis), at each fare. The two gold lines are ALTO’s two claims. Benefit falls steadily as fares rise; cost recovery rises, peaks well short of covering everything, then falls away as riders drop off. The fare that comes closest to one claim is far from the other. The chart shows cost recovery as a ratio, so its peak of 0.63 is the 63 per cent described here, and the gold line at 1.00 is fares covering costs in full.

    The ceiling is about two-thirds

    The turning point sits at a fare near $0.26 per kilometre, where fares cover about 63 per cent of running costs. The best of the three published levels reaches 64 per cent. At no price in the corridor as forecast do fares cover the cost of running the railway. Fares pay about 63 cents of every dollar; the remaining 37 cents comes from the public, every year, forever.

    And the best fare for the finances is the worst for the benefits

    The fare that comes closest to paying for the railway delivers roughly $16 billion of the claimed $49.5 billion in benefits. The fare that comes closest to one promise is nowhere near the fare that delivers the other.

    Against the cost of building it, nothing reaches a dollar

    Construction of roughly $75 billion, spread across 2027–2037 and discounted at 3.5 per cent, is worth about $57 billion in today’s dollars. Measured against that, every dollar returns 49 cents of benefit at fare level A, 36 cents at level B and 26 cents at level C. ALTO’s own published benefits return 86 cents — and that failure is ALTO’s own arithmetic, not this note’s. None of these figures counts the operating shortfall above, which the public would have to fund on top.

    The Three Promises Joined Up

    There is exactly one answer, and it is about the corridor

    The obvious next step is to check the promises one at a time and report that none of them survives. That is true, and it is set out below. But it is the weaker exercise, because it invites the reply that the whole thing is merely a disagreement with three forecasts.

    A short detour, because the next step depends on it. Suppose you are told two things about a bag of marbles: it holds 18 marbles, and there are twice as many red ones as blue. Neither fact on its own tells you how many are red. Put them together and there is exactly one answer — 12 red and 6 blue. Two facts, each loose on its own, can lock onto a single exact answer once you require both to be true at the same time.

    The same move works on the railway. “24 million riders” is one fact. “Fares alone cover the running costs” is another. Neither tells you the ticket price by itself — plenty of low prices might draw 24 million riders, plenty of high ones might cover costs. Require both at the same price, and as with the marbles there is only one price where that is possible.

    The stronger exercise is to solve the two propositions together and ask what corridor would satisfy them. Covering costs fixes a relationship between the fare and the number of riders; so does the ridership promise. Two equations, two unknowns, one answer.

    The one fare, and the one market, that satisfy all three

    Covering 100 per cent of running costs at exactly 24 million riders requires a fare of $0.1935 per kilometre. At that fare the train wins 32.5 per cent of the market. For 32.5 per cent to equal 24 million riders, the corridor must be generating 73.9 million intercity trips a year. It is forecast to generate 33.7 million. The ratio is 2.19×.

    There is only one such point, and it is worth being clear about why. Above $0.193 the railway covers its costs but carries fewer than 24 million people; below it, it carries more but cannot pay for them. Only at $0.193 do the two meet, and where they meet is fixed by the size of the market. The three promises do not contradict each other. They contradict the corridor.

    That unstated assertion has a value, and it can be put in whichever units a reader finds easiest to judge:

    Expressed as Required by the three promises, against the forecast
    Intercity trips a year, all modes 73.9 million required, against 33.7 million forecast — 2.19×
    People living in the corridor in 2055 44.0 million required, against 20.1 million forecast — more people on the Toronto–Québec City axis alone than live in Canada today
    Intercity trips per resident, per year 3.68 required, against 1.68 — corridor residents travelling more than twice as often as the evidence supports, at a time when remote and hybrid working push the other way
    Annual population growth, 2025–2055 3.7 per cent a year sustained for three decades, against a central forecast of 1.0 per cent and a high forecast of 1.6

    Anyone wishing to defend all three promises therefore has exactly one thing to defend, and it is a claim about demand rather than about engineering or financing. Cheaper construction, faster trains and a different discount rate do not reach it. Only a larger travel market does.

    The Gap That Does Not Close

    No ticket price escapes the problem

    Within the corridor as forecast, is there some fare — between the three levels above, or beyond them — that escapes the problem? There is not, and the reason is structural rather than a matter of forecasting.

    Two things happen at once as the price goes up. The number of riders the railway needs in order to break even falls gently and steadily, like walking down a slope — each rider is worth more, so fewer are needed, but that effect fades out gradually. The number of riders available falls away sharply, because once the train costs about what driving costs, people stop switching to it very quickly. A gentle slope and a cliff do not meet.

    Put more precisely: raising the fare lowers the number of riders needed to break even, because each remaining passenger contributes more. But raising the fare also lowers the number of riders available, and it does so faster. The first effect tails off gradually. The second accelerates, because once the train loses its price advantage over a car that costs almost nothing extra to fill, passengers fall away sharply. The second effect always wins.

    Chart: the market share the railway needs to cover its costs, against the share it can win, at each fare. The two curves never meet.

    Figure 1. The two curves never meet at any fare. The rust curve is the share of the market the railway would need to cover its running costs; the solid navy curve is the share it can actually win. The shaded area between them is the gap. The dashed navy curve is the same demand curve in a corridor generating 2.19 times as much travel — it touches the rust curve at exactly one point, $0.193, and that point sits on the gold line marking the 71 per cent share ALTO’s 24-million forecast implies. The chart labels this share “capture”, and the fare “fare yield, dollars per passenger-kilometre”.
    At this fare Market share needed, against market share achievable
    $0.15 per km — fare level A
    about $64 a journey    		 Needs 117.7% of the entire intercity market. Can win 40%. The railway would have to carry more trips than exist in the corridor at all, across every mode, simply to cover its running costs.
    $0.22 per km — fare level B
    about $94 a journey    		 Needs 57.3%. Can win 30%.
    $0.28 per km — fare level C
    about $120 a journey    		 Needs 39.8%. Can win 21.5%. This is as close as the gap ever comes: 1.85×, at about $0.29.
    $0.40 per km
    about $171 a journey    		 Needs 24.7%. Can win 12.1%. The gap has started widening again as the ridership base collapses.

    Read the last figures as the size of the gap: at every fare, the railway needs between roughly twice and three times the market share it can actually win. There is no fare at which it closes.

    What Would Have To Change

    Fixing one promise at a time

    These are the terms a proponent is most likely to reply in. Three of the four turn out not to reach the joint answer at all.

    A larger travel market — reaches all three

    A corridor population of 34.0 million by 2055, or 2.85 trips per resident, brings 24 million riders within reach. Covering the running costs as well takes the 44.0 million of the joint answer. This is the only repair that reaches all three promises.

    Longer journeys — does not move ridership

    An average journey of 793–1,259 km, against the 428 km assumed — meaning essentially every passenger riding Toronto to Québec City end to end, and at fare level A a journey longer than the line itself. It would help cover costs. It puts nobody extra on a train.

    Lower running costs — covers costs only

    Running costs 37–46 per cent below the O&M Note estimates, with the fixed block down from $1,130 million to about $564 million. Again, nothing on the cost side puts passengers on trains.

    A stronger switch to rail — the same claim in different units

    The whole demand curve lifted by a factor of 2.19 at every fare. This is arithmetically identical to a bigger market, and equally a claim about demand.

    This is the asymmetry the brief turns on. Repairs on the cost side rescue the cost-covering promise and leave the ridership promise exactly where it was, because nothing on the cost side puts passengers on trains. Only a larger travel market reaches all three, and both routes to one — more people, or a greater willingness to switch — are the same claim in different units.

    Where Things Stand · August 2026

    Summary ledger

    Taking the promises one at a time, in the corridor as forecast, at every fare examined:

    Not met
    24 million riders a year. The ceiling across the whole fare range is 13.5 million. At the break-even fare of $0.193 it is about 11 million.
    Not met
    $49.5 billion in economic benefits. The ceiling is $27.8 billion, and that figure accepts ALTO’s own hours saved per passenger without challenge.
    Not met
    Fares cover the cost of running and maintaining the railway. The ceiling is 63–64 per cent, at any price, in the corridor as forecast.
    Robust
    The ceiling on cost recovery is the solid half of this finding. It sits inside the range of fares the modelling actually covers, and needs no projection beyond it.
    Softer
    The ceilings on riders and benefits involve projecting beyond the tested range at fares below $0.15, and a proponent is entitled to challenge them. The joint answer at $0.193 does not depend on any such projection.
    Answerable
    A proponent who accepts a 73.9-million-trip corridor is entitled to hold all three promises at once — and should be asked to say so plainly.

    The three promises are not logically inconsistent with one another, and this brief does not claim they are. There is a genuine joint answer. The difficulty is that the answer describes a corridor that does not exist — and that the fourth promise, the one about how much travel the corridor generates, is the only one ALTO has never had to defend, because it has never been stated.

    That distinction is not a technicality. A single claim that says “this project needs more than twice the travel demand anyone forecasts” invites immediate scrutiny. Three separately sourced numbers that merely happen to agree do not. Splitting one unproven assumption across three chapters is what allowed it to travel through public debate unchallenged — and catching that before tens of billions of public dollars are committed is the whole point of a review like this one.

    Download Full Brief
    Three Claims, One Fare (PDF)
    The complete arithmetic with every step shown, for anyone who wants to check or reject any part of it

    Download PDF

    Limits

    What this brief does not claim

    The translation of the three fare levels into dollars is an inference

    Modal Shift Note 3 defines the three levels by how much subsidy they need and how they compare with airfares, not in dollars per kilometre. The $0.15, $0.22 and $0.28 figures are this brief’s reading of what those descriptions imply. Anyone who rejects the reading should supply the fares the business case actually assumes — and the conclusion holds across the whole range of fares, not only at those three points.

    The 428-kilometre average journey is an assumption

    Carried over from revised O&M Note 3. It matters a great deal: revenue and hours saved both rise and fall with it.

    The construction cost figure is not ALTO’s

    The $75 billion is the midpoint of the $60–90 billion range used elsewhere in this series. ALTO publishes no comparable figure. The returns per dollar should be read as indicative, and they measure benefits against construction cost alone.

    Nothing here depends on the 9.3-billion-hour figure being correct

    It is held at ALTO’s own value throughout. If it is correct, the findings stand as stated. If it turns out to be overstated, the benefit column falls further still and every conclusion here becomes firmer, not weaker.

    The model of the train service is coarse

    A single 450-seat train type, uniformly 65 per cent full over a 1,000-kilometre corridor, is a simplification. A real railway would vary train length and frequency by section, which would cut the ridership-related costs somewhat when ridership is low. It would not touch the fixed costs, which is where the problem lies.

    Sources

    Primary documents and companion notes

    1.

    ALTO, Canada’s Moment: The Economic Opportunity of High-Speed Rail, August 2026. The 24-million ridership forecast, the 9.3 billion hours of travel time saved and the $49.5 billion total benefit figure at a 3.5 per cent discount rate.
    2.

    ALTO, Canada’s Moment, August 2026. The claim appears three times: in the chief executive’s foreword, where revenues are expected to cover all operating and maintenance costs and to offset the ongoing public subsidies conventional passenger rail has historically required; in the executive summary, where operating revenues are expected to fully cover operating and maintenance costs, transitioning passenger rail from a publicly subsidised service to a commercially viable operation; and in the financial chapter, where the project is expected to operate on a self-sustaining basis. The same chapter distinguishes day-to-day operating costs from initial capital investment and lifecycle costs, and states that revenues do not cover all costs once those are included — the distinction examined in revised O&M Note 3, which finds the claim true for day-to-day operations alone, marginal once renewals are included, and failing once the trains themselves have to be replaced.
    3.

    Modal Shift Note 3 — corridor population, starting point and growth path; intercity trips per resident. The 1.68 figure is the 2025 baseline; the working range is 1.6–1.8. Using 1.68 is marginally conservative against this brief’s own conclusion.
    4.

    Modal Shift Note 3 — market shares of 38–42, 28–32 and 20–23 per cent for the three fare levels, which Note 3 calls Regimes A, B and C.
    5.

    Revised O&M Note 3 — infrastructure $1,016M, operations $700M and fleet $127M a year, spread over the life of the assets at 3.5 per cent real; the fixed and variable split giving $1,130M fixed and $8.91M for each train per day.
    6.

    Statistics Canada, The Daily, 17 June 2026 — Canada’s total population estimated at 41,417,056 on 1 April 2026, a decrease of 55,025 over the preceding quarter.
    7.

    Fare levels, service assumptions and the joint solution are set out in full in the PDF brief, including the two equations solved simultaneously in §6.1.
    ALTO HSR Citizen Research Initiative  ·  citizenresearch.ca  ·  Fare and Ridership Note 1  ·  August 2026
    Independent, non-partisan research on the proposed Toronto–Quebec City high-speed rail corridor. All figures are reconstructions from published sources and companion notes in this series; the arithmetic is set out in full so that any step can be checked or rejected. Corrections welcome.

  • Introduction: What is HPR

    Coalition for Better Rail · ALTO HSR Citizen Research Initiative · The HPR Research Report

    What is HPR?

    An alternative built around the journey people actually take — not the top speed on the brochure.

    Introduction · The HPR Research Report

    High Performance Rail (HPR) is a plan to modernise passenger and freight rail along a corridor that already has track. Instead of one brand-new high-speed line built from scratch, HPR treats the whole corridor as a single system and asks what the smartest fix is for each part. That means new track where new track earns its place, upgrades to existing lines where they deliver more per dollar, and added freight capacity so passenger and freight trains can each run to their own schedule. The goal is a trip that beats driving door to door, reaches city centres and the towns in between, and gets built in affordable stages.

    Download
    What is HPR? — Introduction (PDF)
    The HPR framework in full: the three-part structure, the 10 Guiding Principles, and the case for a made-in-Canada alternative to greenfield high-speed rail
    Download PDF
    The Framework

    Three parts, one corridor strategy

    HPR is not one thing but a whole-system approach with two working halves. It combines a passenger spine and a freight dimension into one corridor strategy, assessed together and built step by step, so each mode can grow on its own terms instead of being forced onto the other’s infrastructure.

    Three names for three things, used consistently across this report. The corridor is the Toronto–Québec City route Alto proposes. The triangle is the Toronto–Ottawa–Montréal network HPR proposes in its place. The spine is the 479-kilometre Pickering Junction to Dorval element of that triangle, on the Toronto–Montréal axis, which is where the new-build cost concentrates. Where a chapter names one of the three, it means that one.

    HPR — High Performance Rail · the framework

    The whole-system approach. HPR combines the passenger spine and the freight side into one corridor strategy, assessed together and delivered in stages.

    HPPR — High Performance Passenger Rail · the spine

    The physical passenger railway. New-build and grade-separated where the corridor requires it, engineered to run reliably across a 177–240 km/h band, with 240 km/h (150 mph) the alignment’s design maximum, serving downtowns and the communities along the route.

    HPFR — High Performance Freight Rail · the freight dimension

    The capacity that separates freight from passenger obligations. Freed from passenger schedules, freight can run to a more flexible timetable and operate longer trains. Those are the levers that lower a railway’s operating ratio, so each mode can grow without crowding out the other on shared track.

    The 10 Guiding Principles of HPR

    What HPR is built on

    01
    Look at the whole system. Treat the rail network as one system rather than a set of separate projects, and respect the different business models freight and passenger operations run on. Avoid a single project that monopolises the funding and starves the many smaller improvements that would together deliver more.
    02
    Build for communities. Make sure the towns along the route benefit from the railway, not just the big cities at each end. A railway that brings those places in rather than bypassing them meets less local opposition, carries less political risk and, in the end, costs less.
    03
    Separate freight from passengers. Build the capacity to give each its own space, so neither has to run to the other’s schedule.
    04
    Go fast enough, not the fastest possible. Target speeds of 177–240 km/h. That is fast enough to compete with driving or flying door to door, without the cost of fully new, arrow-straight high-speed lines. A 240 km/h maximum is also the more practical option in extreme Canadian heat and cold (±30 °C).
    05
    Make the ride safe, comfortable and useful. Grade separation and modern rolling stock make rail among the safest ways to travel, and generous space lets passengers work, rest or talk on the way. Time on the train is usable time, which driving can never offer.
    06
    Be frequent and on time. Compete on turn-up-and-go frequency and dependable punctuality, with on-time performance above 90% sustained through Canadian winters. Reliability, not peak speed, is what earns a traveller’s trust.
    07
    Reach downtowns and smaller towns. Put stations in city centres and serve the communities along the route, not only the two endpoints.
    08
    Mix new construction with upgrades. Use whichever delivers more value for the money: new track, or improvements to what is already there.
    09
    Share the tracks. Let regional, commuter and intercity trains use the same tracks, with freed freight capacity as a deliberate co-benefit.
    10
    Build it in stages. Invest where the benefits can be demonstrated, phasing improvements so each stage earns its place, instead of concentrating all the cost and risk in one megaproject.
    How HPR Differs

    A North American solution

    The defining difference is what the railway is optimised for. A design that chases 300-plus km/h commits, almost by necessity, to a new greenfield alignment: long straight sections, wide curves, and bypasses that route around the very communities and city centres a passenger service exists to reach. The speed gained on open track is paid back in access time, capital and carbon.

    HPR takes the opposite approach. By accepting typical speeds of 177–240 km/h, it can follow the existing corridor, upgrade what already works, and go straight into downtowns, all while freeing up capacity for freight. The result is competitive door to door at a fraction of the capital exposure, in stages that can be re-scoped as the evidence matures.

    It is also a difference of origin. A greenfield high-speed line is essentially an imported design. The French passenger-rail model was built for a temperate, densely settled country on a network that carries no freight. North American railroading is the opposite: freight-dominated, shared-track, and tested by hard winters and long distances.

    HPR is engineered for those conditions — made in Canada, for Canadian ones. It builds domestic expertise that transfers to later Canadian projects rather than importing it. HPR is best understood not as a slower high-speed railway but as a different answer for a different continent. The question it sets out to answer is this: how do you move the most people and freight, to the most useful places, at prices that compete with driving, for the most defensible investment at the lowest risk?

    Travel Time, Not Speed

    The clock, not the speedometer

    A journey is not a single dash between two stations. It is a chain: getting to the station, waiting for the departure, the run itself, and then getting to the final destination at the far end. Top speed touches only one link in that chain. Once the time at both ends is counted, the run itself is a fraction of the door-to-door total, and shaving it returns less and less. The gap between 240 and 300 km/h saves minutes on the segment that is already the smallest part of the trip.

    Worse, the alignments that allow the highest speeds tend to push stations out of city centres. That adds time at both ends, which can outweigh whatever the faster run saved — so a train that is quicker on paper can be slower in practice. Frequency compounds the point: a train leaving soon beats a faster one you have to wait an hour to board.

    The measure that matters

    Over a corridor drive of some 540 kilometres, the car is the real competitor. Measured the way travellers actually experience the journey, what counts is the reliable door-to-door clock — not the number on the fastest stretch of track.

    The Price Lever

    Pricing for a car-centric market

    In a car-centric country, the railway’s real competitor is not the airplane or the existing train. It is the private car. Against a car someone already owns, a trip is judged on the fairly small extra cost of just driving it. That makes price the most direct lever on whether people switch.

    A line built at megaproject cost has to recover that capital somewhere. Fares set to service debt push budget-conscious travellers straight back into their cars, hollowing out the very ridership the business case assumed. HPR’s lower capital cost is therefore not only a fiscal virtue but a demand strategy: a railway that costs less to build can price to fill trains rather than to service debt.

    Frequency, downtown access and reliable door-to-door times create the conditions for people to switch. Price is what converts them into boardings — and where most trips default to the car, the fare is often the difference between a full train and an empty one.

    What HPR Is Not

    Neither political, nor all at once

    HPR is not a political project. Its route, its staging and its scope follow the evidence — engineering, economics and demographics — not political convenience or partisan preference. Where a claim cannot be grounded in that evidence, it is not made.

    Nor is it everything at once. Stage 1, the scope of the current report, is deliberately limited. It does not detour via Peterborough, it reaches Ottawa over upgraded existing lines rather than costly new-build, and it leaves Québec City to a later stage. Each further stage is added only when the evidence and the need justify it.

    The Pitch

    A case built to be checked

    HPR does not ask to be believed. It asks to be checked. Every figure in its case is meant to be traced to a source, tested against what comparable projects actually cost and carried, and stated with its uncertainty rather than at its best case. Where a promotional business case leads with a single confident number, HPR leads with a range and the reference class behind it. The honest way to forecast a railway is from the record of railways already built, rather than from a proponent’s own projections for the one not yet built.

    The result is a stronger case, not a softer one. Compared with a conventional greenfield high-speed line, HPR offers four things:

    Passengers
    A service that beats driving on door-to-door time, for a fraction of the cost of a from-scratch high-speed line.
    Freight
    Upgrades that help freight operators instead of competing with passenger trains for track space.
    Delivery
    Benefits that arrive in proven stages, each one demonstrated before the next is committed.
    Whole life
    A cost and environmental picture that improves, rather than worsens, once the entire lifespan of the asset is counted.

    None of that needs an optimistic ridership forecast or heroic cost control to stand up. That is the pitch: not the fastest railway that can be drawn on paper, but the one that will actually get built, get used, and pay its way.

    Coalition for Better Rail  ·  ALTO HSR Citizen Research Initiative  ·  beyondalto.ca  ·  citizenresearch.ca  ·  The HPR Research Report · Introduction
    Independent, non-partisan research on Canada’s proposed Toronto–Québec City corridor. This introduction describes the HPR framework. Later chapters cover corridor geometry, capital cost, ridership, operating economics, environmental impact and benefit–cost analysis.

  • The Stations that aren’t there

    The Stations That Aren’t There

    The tourism ALTO’s line leaves at the station — and the small-town visitor economy an integrated network could reach instead.

    ALTO HSR Citizen Research Initiative · Economic Brief · Published July 2026 · ALTO consultation closed April 24, 2026
    ⚠ A short list of city stops

    ALTO’s mandate fixes seven stations — Toronto, Peterborough, Ottawa, Laval, Montréal, Trois-Rivières, and Québec City — only five of them between the endpoints, and every one a city rather than a recreational town. To hold 300+ km/h, the dedicated new alignment stops as little as possible: the original eastern-Ontario option ran a straight line with no stop between Peterborough and Ottawa. Alto FAQ

    After consultation, the government signalled in June 2026 a strong preference for a more southerly route nearer Highway 401 with a potential Kingston stop, keeping the northern corridor alive but deprioritised; the final alignment is still being assessed. Either way the pattern holds — a handful of city stops, and access by car: ALTO’s own pitch is that most residents east of Peterborough would be within a 25-minute drive of a station. The small towns and shorelines that draw the corridor’s leisure travel sit off the line. CBC

    Critical Finding

    ALTO frames tourism as a metro-connectivity product: faster links between big cities. But the corridor’s large, capturable, and better-distributed tourism opportunity is the opposite trip — domestic leisure travel from the four metros out to smaller towns and recreational areas. That market is already huge, overwhelmingly intra-provincial, mostly same-day, and almost entirely car-dependent.

    This is not small towns instead of big cities. A faster, more reliable High Performance trunk improves the metro trip too — most of the way, since the large gain is over today’s freight-delayed VIA service, not over ALTO. An integrated network reaches the metro market and the small-town market; ALTO’s express spine reaches the first, marginally faster, and by geometry bypasses the second — and can draw activity toward its hub stations rather than distributing it.

    On transparent, adjustable assumptions (a fifteen-minute station catchment, scenario ranges for capture and induced demand), an integrated network could plausibly generate an illustrative band of roughly $30 million to $640 million a year in net-new, locally-retained small-town tourism spending. These are scenario figures, not a forecast; the point is that the benefit is real, net-new rather than displaced, and lands in the communities the express line skips.

    The Market

    A large market, already on the road

    1 in 3
    domestic trips is for holidays, leisure or recreation — the market ALTO’s frame overlooks
    StatCan National Travel Survey
    ~14%
    of domestic travel spending goes to gas and vehicle operation — the leisure market is car-locked
    StatCan National Travel Survey
    ~$200M
    illustrative central net-new small-town tourism per year an integrated network could capture (band ~$30M to ~$640M)
    Initiative scenario

    The domestic leisure market the corridor sits inside is very large. About one in three domestic trips by Canadians is for holidays, leisure or recreation — on the order of ninety-five million such trips nationally in a normal pre-pandemic year — and travel within Canada has since climbed to new highs, with tens of billions of dollars spent each quarter.

    In Ontario, domestic travellers made roughly 116 million visits in a recent full year, over 93 per cent of them Ontarians travelling within their own province; Quebec is the second most-visited province. Most of this travel is same-day — in Ontario about two-thirds — and a same-day trip already means a journey of at least forty kilometres each way.

    And it is car travel. Gas and vehicle operation is consistently one of the three largest categories of domestic travel spending, at around 14 per cent — a direct measure of how car-locked leisure travel to non-metro destinations currently is. Per-visit spending is modest (same-day visits average roughly $70 in Ontario and $75 in Quebec) but the volume is the story.

    This is the demand pool. It is intra-provincial, high-frequency, price-sensitive, and today almost entirely dependent on the private car — which is precisely the market a convenient, well-priced, integrated rail network could convert, and precisely the market a metro-to-metro express line does not address.

    The Geography

    Where the leisure map meets the line

    The test the Initiative applied is simple: which of the corridor’s recreational regions fall within a fifteen-minute reach of a station ALTO is mandated to build? On that test, most do not.

    Recreational regionRelationship to the ALTO line
    Prince Edward County (ON)No station. The nearest existing rail town, Belleville, is bypassed by the northern alignment. Unserved.
    Thousand Islands / Gananoque (ON)Hinges on the Kingston stop, under assessment since June 2026 on the preferred southern route. If confirmed, Kingston would interconnect the existing VIA station and serve as a genuine gateway — though access stays a drive-to-station model. Conditional.
    Northumberland shore — Cobourg, Port Hope (ON)The line routes inland via Peterborough, away from the lakeshore towns and their existing rail. Unserved.
    Kawarthas (ON)Peterborough is a mandated stop and a genuine gateway. Served.
    Rideau corridor — Perth, Westport, Smiths Falls (ON)Off the alignment; no station. Unserved.
    Eastern Townships / Cantons-de-l’Est (QC)South of Montréal, off the Québec-bound line. Unserved.
    Mauricie (QC)Trois-Rivières is a mandated stop and a gateway. Served.
    Charlevoix (QC)Northeast of Québec City, far beyond the line’s end. Unserved.
    Laurentians / Mont-Tremblant (QC)North of Laval; the resort areas lie well beyond any mandated station. Unserved.

    Three of the stops are real recreational gateways, and this brief counts them as such: Peterborough for the Kawarthas, Trois-Rivières for the Mauricie, and — if confirmed — Kingston for the Thousand Islands. But even among these, ALTO’s own materials place Peterborough and Trois-Rivières at the city’s edge, near highways rather than in the centre; only a Kingston stop, reusing the existing VIA station, would set a visitor down in the town itself. The pattern is nonetheless clear: the station set is a list of cities, and whether the eastern-Ontario segment runs north or on the preferred southern line, it stops at cities and passes the belt of small towns and shorelines where corridor residents actually spend their leisure time.

    The Mechanism

    An express spine concentrates; it does not distribute

    Two features of a 300+ km/h line work against dispersed tourism. The first is stop spacing. High speed is only worth building if the train rarely stops; every added station erodes the time saving that justifies the cost. A line optimised for Toronto–Montréal in about three hours cannot also be a network of small-town halts — the two objectives are in direct tension, and the metros win.

    The second is the straw effect (sometimes the tunnel effect), one of the better-documented findings in high-speed-rail economics: fast, few-stop lines tend to concentrate activity in their terminal cities and can draw it out of the places they pass. For tourism specifically, a traveller moved from metro to metro in three hours has no reason to stop in between, and the towns without a platform capture nothing. The honest reading is therefore not that ALTO is merely unhelpful to small-town tourism, but that its geometry can be actively adverse to it.

    An integrated High Performance network works the other way. A trunk at 180–240 km/h on existing corridors, with regional feeders and timed local connections, trades a little top speed for many more points of access — and it is the access, not the speed, that unlocks the leisure trip.

    Couldn’t ALTO just add the last-mile links?

    It could, and it says it will: ALTO has publicly stated it wants the network interconnected with the REM and metro in Montréal and Laval, the LRT and VIA in Ottawa, and the same in Kingston. Municipal and regional-transit integration is a policy choice open to any operator, not a property of one technology. But last-mile links work on top of stations — they amplify access at stops that exist; they cannot create a stop where the line does not run. And ALTO’s own access model is drive-to-station: its selling point for the Kingston option is that most residents east of Peterborough would be within a 25-minute drive of a platform — car-dependent access, the opposite of the car-free leisure trip. The binding constraint is the number and placement of stops, and no shuttle programme changes it.

    The comparison is both-and, not either-or

    High Performance Rail does not trade the metro trip away to reach the small towns; it improves both. A more frequent, more reliable trunk on dedicated track would substantially boost metro-to-metro leisure travel over today’s freight-delayed VIA service — and most of that gain comes from leaving freight-priority track, not from the final increment of speed. The Initiative’s own analysis finds ALTO’s extra 17 to 25 minutes per city pair is a small addition to a benefit High Performance Rail has already largely captured. So an integrated network reaches the metro market and the small-town market; ALTO reaches the first, marginally faster, and forecloses the second.

    Even where ALTO stops, the platform tends to sit outside the centre

    The design privileges speed over central access, and the station choices show it. The one true downtown terminal, Montréal, depends on a tunnel of more than ten kilometres under the Rivière des Prairies and Mount Royal — costed by a McGill analysis at over a billion dollars a kilometre, some 12 to 18 per cent of the whole $60–90 billion budget. As the single most expensive discrete element on the line, with a suburban Laval station already built into the first phase, it is the obvious thing to defer or drop if costs run over — as, on megaproject form, they will. The others already point the same way: by ALTO’s own CEO, Toronto’s first station will be suburban, opening ahead of any downtown stop; the Transport Minister has set aside the historic downtown Ottawa station on cost and geology grounds; Québec City’s central Gare du Palais is largely ruled out as too slow; and Peterborough, Trois-Rivières and Laval are sited near highways and open land to hold the 300 km/h line. Should the Montréal tunnel go the way of the others, not one of the four major anchors would be left with a secure downtown station. Where the design builds fresh for speed, the platform lands outside town and the visitor arrives by car — the opposite of the car-free leisure trip. The one honest exception is reuse: at Ottawa’s Tremblay hub and a possible Kingston on the VIA line, ALTO leans on an existing transit-connected station and access works — which is exactly the High Performance model of keeping the platform where the town already is.

    The Estimate

    A transparent scenario, not a forecast

    The following is deliberately built as visible arithmetic. Every input is a parameter the reader can change; the three columns are a low, central, and high scenario rather than a single prediction. The catchment is set at the fifteen-minute reach used for the geography test above.

    Parameter (annual, at maturity)LowCentralHigh
    Addressable leisure-trip pool — metro origin, destination within 15 min of a networked station3.0M6.0M9.0M
    × Rail capture of addressable car trips10%20%30%
    = Shifted rail trips0.30M1.20M2.70M
    × Induced-demand uplift+10%+25%+40%
    = Rail leisure trips at maturity0.33M1.50M3.78M
    × Net local spend per trip (blended same-day / overnight)$90$130$170
    = Annual net-new local tourism spend~$30M~$195M~$640M

    Illustrative scenario arithmetic. Each parameter is an input, not an observation; the central column is one plausible path through the band, not a point forecast. Pool figures represent a single-digit-millions slice of the corridor’s tens of millions of annual leisure trips.

    Read as a band, an integrated network plausibly captures somewhere between a few tens of millions and roughly $640 million a year in net-new, locally-retained small-town tourism spending, with a central illustrative figure near $200 million. The width of that band is the honest expression of the uncertainty; narrowing it is a modelling exercise, not a rhetorical one. What matters for the comparison with ALTO is not that the high scenario approaches ALTO’s $800 million claim, but that these are net-new and locally-retained dollars — not the gross, un-netted, metro-concentrated figure ALTO reports — and that they land in the communities the express line bypasses.

    The Reference Class

    Integration is the unlock — the Swiss test

    The case that rail can distribute tourism to small towns is not hypothetical; it is the everyday reality of the most integrated networks. Switzerland is the standing proof of concept: timed-transfer scheduling, a single ticketing system, and regional and postbus connections that reach valley and lakeside towns make car-free leisure travel the default rather than the exception, and tourism spending is spread across small communities precisely because the network reaches and connects them. The United Kingdom’s community-rail partnerships show the same mechanism at modest scale, turning secondary lines into local visitor economies.

    The reference class also carries its warning, which this brief states plainly: where fast lines are built without that integration, the straw effect can leave intermediate places worse off, as parts of the Japanese experience show. The lesson is consistent in both directions. It is integration — ticketing, timed connections, and last-mile links — not raw speed, that determines whether rail distributes tourism or concentrates it. That is a choice about network design, and it is the choice an express spine makes in one direction and an integrated High Performance network makes in the other.

    The Condition

    The benefit is conditional, and the brief says so

    This estimate carries a load-bearing assumption, and honesty requires naming it. The entire small-town dividend depends on the last mile actually existing: a train to a rural station accomplishes little if the visitor still needs a car on arrival. The captured trips in the scenario above are conditional on shuttles, regional transit, bike and e-bike hire, and timed connections being built and funded alongside the line. Where that integration is absent, capture rates collapse toward the low column. This condition is not unique to the alternative — ALTO’s own city stations need last-mile links too, and it is pursuing them; the difference is reach, since integration can only amplify the stops a network has, and an integrated network simply has more of them, closer to the destinations.

    Three further limits keep the estimate disciplined. Some premier recreational areas — dispersed cottage country, backcountry, and lakes reached only by private road — are intrinsically car-shaped and fall outside the addressable set at any catchment. Leisure demand is sharply peaked by season and weekend, which is capacity-inefficient and weakens the operating economics rather than strengthening them. And the induced-demand component is the softest parameter in the model; over-reading it would repeat exactly the optimism bias the Initiative documents in ALTO’s own forecasts. The scenario is built to resist that temptation, which is why the low column is deliberately austere.

    Where things stand · July 2026

    Summary ledger

    On the tourism question, measured against ALTO’s own framing:

    Overlooked
    Market — one in three domestic trips is leisure, and the corridor’s small-town leisure economy is large and car-locked. ALTO’s frame addresses metro-to-metro travel, not this market.
    Bypassed
    Geography — most recreational regions fall outside a fifteen-minute reach of any ALTO station; whether the line runs north or on the preferred southern route, it stops only at cities. Peterborough, Trois-Rivières, and (if confirmed) Kingston are the exceptions.
    Adverse
    Mechanism — an express spine concentrates activity in hub cities and can draw it out of bypassed towns (the straw effect), rather than distributing it.
    Available
    Alternative — an integrated High Performance network reaches the metro market (most of ALTO’s benefit, over VIA) and the small-town market: an illustrative central ~$200M a year in net-new local spend, band ~$30M to ~$640M.
    Conditional
    Condition — the dividend is contingent on last-mile integration being built and funded; absent it, capture falls to the low scenario.

    ALTO reports an $800 million annual tourism benefit as a gross figure, concentrated in the metros its line connects. This brief does not dispute that rail generates tourism value between the metros — High Performance Rail delivers most of that too, over today’s VIA service, and at a fraction of the cost. It adds the value ALTO leaves out: the leisure trip out of the city to the small town. One approach captures both markets; the other captures the first, marginally faster, and skips the second. The difference is a network built to stop, not a spine built to skip.

    Download Full Brief
    The Stations That Aren’t There (PDF)
    Small-town tourism and the express spine — the full brief with sources.
    Download PDF
    Sources

    Documents and data

    1.
    ALTO, Frequently Asked Questions and About Alto — the seven federally mandated stations (Toronto, Peterborough, Ottawa, Laval, Montréal, Trois-Rivières, Québec City). altotrain.ca
    2.
    CBC News, coverage of the ALTO route, schedule and land-access surveys, March 2026 — station list, Ottawa–Montréal first phase, and concerns from communities on existing rail routes. cbc.ca
    3.
    The Canadian Press, “Toronto area could get two high-speed rail stations,” April 30, 2026 — seven mandated stops, a possible eighth in the Toronto suburbs, and the 72-trains-per-day service concept.
    4.
    CBC News and Ottawa Business Journal, June 22–23, 2026 — the government’s stated preference for a southern route with a potential Kingston stop interconnecting VIA, the “25-minute drive” catchment claim, and ALTO’s stated intent to connect with the REM, metro, LRT and VIA. cbc.ca obj.ca
    5.
    Station-siting reporting, 2026: ALTO network map (Peterborough near major roadways with bus connections; a northern approach studied at Trois-Rivières owing to downtown density; a Mount Royal tunnel to reach downtown Montréal). altotrain.ca The Canadian Press and The Globe and Mail on Toronto’s suburban-first station opening ahead of a downtown stop; The Globe and Mail and CBC on the Transport Minister setting aside the historic downtown Ottawa station in favour of the existing Tremblay VIA/O-Train hub; and Imbleau largely ruling out Québec City’s Gare du Palais. theglobeandmail.com cbc.ca On the downtown Montréal tunnel — more than ten kilometres, costed by a McGill analysis via The Canadian Press at over CA$1 billion per kilometre, or 12 to 18 per cent of the project budget: trains.com
    6.
    Statistics Canada, National Travel Survey — domestic leisure-trip volumes, same-day share, mode, and expenditure categories (including gas and vehicle operation). Tables 24-10-0070-01 and 24-10-0071-01. statcan.gc.ca
    7.
    Statistics Canada, The Daily, National Travel Survey and Visitor Travel Survey, 2025 quarters — recent domestic tourism spending and per-visit averages for Ontario and Quebec. statcan.gc.ca
    8.
    Reference class (qualitative): the Swiss integrated rail and travel system (timed transfers, single ticketing, regional and postbus links); the United Kingdom’s Community Rail Partnerships; and the high-speed-rail “straw / tunnel effect” literature, including Japanese Shinkansen studies.
    9.
    ALTO HSR Citizen Research Initiative, modal-shift research notes and the scenario methodology set out in this brief — fifteen-minute station catchment, and low / central / high ranges for rail capture, induced demand, and per-trip local spend.
    ALTO HSR Citizen Research Initiative  ·  citizenresearch.ca  ·  Economic Brief  ·  July 2026
    Independent, non-partisan research on the proposed Toronto–Quebec City high-speed rail corridor.

  • Undressing the addressable market

    Technical Brief · Corridor Demand

    Undressing the Addressable Market

    Alto’s demand case, read against the corridor’s roadside counts, its current population path, and the international reference class.

    ALTO HSR Citizen Research Initiative · Corridor Demand Brief · Published July 2026 · Independent, non-partisan research
    ⚠ New Finding · The 95-million figure has no published source

    Alto’s April 2026 commentary states that “ninety-five million intercity trips take place each year between the cities Alto will serve,” rising to 140 million by 2049. The figure has been repeated across government communications and press coverage since. It does not appear in Alto’s own explanatory document Fast Forward (March 2025), the Corporate Plan Summary 2024-25 to 2028-29, or the June 2026 What We Heard consultation report. No independent analyst — C.D. Howe, the Munk School, McGill TRAM — has adopted it. The denominator that anchors Alto’s modest-quarter framing is stated in a commentary without any published derivation.

    Key Finding

    95 M → ~25 M.  Alto’s 95-million-intercity-trips figure counts every trip, by every mode, over every distance, across the whole corridor. The market a high-speed line can realistically serve — the longer, station-to-station journeys where rail competes with air and car — is roughly a quarter of it, about 25 million a year; the rest is short, regional, and off-corridor travel no train could carry.

    Central independent ridership sits at 8–9 million a year, rising toward 10 at maturity — less than half of Alto’s 24-million target. The three markets a fast service actually converts (car, air, and existing rail) sum to about that level. The reference-class floor from comparable car-dependent corridors is 4–5 million. Alto’s 24-million target stands alone above every published independent forecast.

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    Undressing the Addressable Market — Full Brief (PDF)
    Technical brief with methodology, tables, figures, and full source citations

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    The Claim

    Alto’s demand case, in its own words

    In an April 17, 2026 opinion piece published in the Toronto Star and La Presse and reproduced on altotrain.ca, Alto’s chief executive set out the demand case for the Toronto–Québec City high-speed line. Its central figures are a headline market of ninety-five million intercity trips a year across the corridor, rising to one hundred and forty million by 2049; a population of eighteen million reaching twenty-two million within fifteen years; and a target of twenty-four million annual passengers by 2055, presented as consistent with international outcomes. The piece is framed to reassure — its very title insists that high-speed rail is no leap of faith.

    This brief tests the claim on its own terms. It does not dispute that the corridor is large, that it is growing, or that its intercity system is under strain — all three are true. It disputes the inference the commentary draws from them: that a twenty-four-million forecast is therefore measured, modest, and safe.

    Read against three independent bodies of evidence — the corridor’s roadside traffic counts, the population path Statistics Canada now projects, and the international record of what comparable high-speed lines actually carry — the demand case rests on optimistic framing rather than measurement. Where the commentary offers large round numbers and a single favourable analogue, the evidence points to central ridership near a third of the headline, and to a growth story built on a population Canada has already walked back.

    What the Evidence Shows

    Six findings

    The findings rest on four independent methods, each built to be reproducible from public data: a reference class of comparable corridors, a modal-shift ridership model, a market-by-market demand build-up, and a re-basing on Statistics Canada’s current population. A fifth lens — the standard appraisal treatment of optimism bias — governs how all four are read.

    Central independent ridership is 8–9 million a year, not 24

    Rising toward 10 at maturity. The risk-adjusted floor from comparable car-dependent corridors is 4–5 million. Alto’s 24-million target sits above every published independent forecast of the corridor.

    The demand builds from three real sources, not a 95-million abstraction

    The market a fast service actually converts is measurable: the cars crossing the corridor, the air travellers on the competitive pairs, and the existing VIA riders it retains. Added together — roughly 2.8–3.5 million from car, 1.7–2.0 million from air, and about 3.3 million retained rail (VIA’s directly reported 2025 Corridor East ridership) — they come to about 8 to 9 million. The 95-million figure is an all-modes, all-pairs total that no service captures.

    The 95-million figure itself is unsourced

    Stated in the commentary without citation, and absent from Fast Forward (March 2025), the Corporate Plan Summary 2024-25 to 2028-29, and the June 2026 What We Heard consultation report. No independent analyst has adopted it. The denominator that anchors the modest-quarter framing is not just broad but unpublished.

    The demand-growth story reverses the per-capita trend

    Ninety-five to one hundred and forty million over 2026–2049 is about 1.7 per cent a year, faster than the corridor’s own population growth. The gap implies rising travel per resident — against the grain of hybrid work and videoconferencing.

    The population base is the pre-cap one

    Twenty-two million in fifteen years extrapolates the 2015–2025 immigration surge. Statistics Canada’s January 2026 projection is lower; on the current path the corridor is about 6.3 million people smaller by 2055 than the counterfactual Alto’s numbers assume.

    The one comparator offered is a best case

    Madrid–Barcelona is among the strongest high-speed successes on record. The honest reference class — the full distribution of high-speed outcomes, many of which undershot their forecasts — brackets the answer far below 24 million.

    Method 1 · Reference Class

    What comparable corridors actually carry

    Rather than model the corridor from assumptions, the reference-class method asks what corridors with similar car dependence, density, and trip lengths actually achieve once fast rail opens. Each candidate corridor is scored on a Car Dependency Index (CDI) — a composite of car mode share, population density, and transit provision at the endpoints. The Toronto–Québec City corridor’s high car dependence places it with reference cases that, rescaled to this line, carry the equivalent of roughly 4 to 5 million corridor trips a year at maturity. This is the risk-adjusted floor: what the evidence says the corridor is most likely to do before any speed, fare, or density assumption is layered on.

    Figure 1 — Comparable intercity-rail corridors plotted by their Car Dependency Index against annual ridership; the Toronto–Québec City corridor's high car dependence places it with reference cases carrying 4 to 5 million corridor trips a year.
    Figure 1 — The reference class: ridership against car dependency. Comparable intercity-rail corridors scored by their Car Dependency Index. The Toronto–Québec City corridor’s high car dependence places it with reference cases that, rescaled to this line, carry the equivalent of roughly 4 to 5 million corridor trips a year — the risk-adjusted floor.
    Methods 2 & 3 · The Three Markets

    Demand, counted not modelled

    A fast service on this corridor draws from three distinct current populations: the car market, the air market on the competitive city pairs, and the existing rail riders. Each is measurable from public data. Because they are distinct populations, they add without double-counting.

    The car market is read at the Highway 401 screenline where it crosses into Québec, after Ottawa-bound traffic has left via Highway 416 and Cornwall-local traffic has loaded, stripped of the 30 to 35 per cent commercial-truck share and short regional trips: roughly 8.8 to 11.0 million end-to-end car person-trips a year across the triangle at an occupancy of 2.0. Applying the road-market capture rates converts these into the rail ridership the car market alone would yield.

    Table 1 — Rail ridership drawn from the car market: per-leg car person-trips and rail capture rates for Toronto–Montréal, Ottawa–Toronto, and Ottawa–Montréal, summing to 2.8–3.5 million rail passengers per year from the car market.
    Table 1 — Rail ridership drawn from the car market. Capture rates are road-market shares from the modal-shift analysis at a moderate-fare regime; they express rail’s share of the combined car-and-rail market. Only Toronto–Montréal is confirmed by roadside counts; the Ottawa legs are demand-sized.

    The car market is only one of three. A fast corridor service also draws from the air travellers on the same city pairs, and it retains the passengers already riding the train. The corridor air market on the competitive pairs — Toronto–Montréal, Toronto–Ottawa, and the smaller Ottawa–Montréal — is on the order of 2.5 to 3.0 million point-to-point passengers a year, of which a fast train on these distances captures about two-thirds.

    Existing conventional rail is now reported directly in VIA’s 2025 annual results: 3.34 million passengers a year on the Corridor East service group (Québec City–Montréal–Ottawa–Toronto), within a Québec City–Windsor corridor total of 4.18 million. Essentially all of the triangle share is retained by a faster, more reliable service. VIA’s audited subsidy figures also fix the shape of the trip-length distribution: 48.51 dollars per passenger over 0.22 dollars per passenger-mile is an average trip of about 355 kilometres — roughly a third of the end-to-end corridor distance. Even the passengers already choosing rail are, on average, taking journeys well short of the full corridor.

    Table 2 — Where the corridor's rail ridership comes from: diversion from car (2.8–3.5M), diversion from air (1.7–2.0M), and existing VIA rail retained (~3.3M), summing to a central total of approximately 8–9 million rail passengers per year.
    Table 2 — Where the corridor’s rail ridership comes from (central). Car, air, and existing-rail travellers are distinct current populations, so the three sources add without double-counting. The rail line uses VIA’s Corridor East service group directly, rather than deriving a triangle share of the wider Québec City–Windsor total. The total is the central case around 2055; it rises toward 10 million at maturity as the ramp completes, and remains far below 24 million.
    Method 4 · The Population Basis

    The 6.3-million deficit

    Every ridership figure scales with the population beneath it, so the choice of population path is decisive. The brief uses Statistics Canada’s January 2026 projection (catalogue 17-20-0003), which incorporates the 2024–25 federal Immigration Levels Plan.

    Against the pre-2024 growth path that older corridor forecasts — and the commentary’s twenty-two-million figure — assume, this is materially lower: the corridor reaches about 19.8 million by 2055 on the current path, versus 26.1 million on the counterfactual, a deficit of 6.3 million. Because ridership scales with population, a forecast on the old path is inflated by roughly the same proportion the population has been cut — before any question of mode share or capture even arises.

    Figure 2 — Corridor population time series 2015–2060 showing four trajectories: pre-2024 counterfactual reaching 26.1M by 2055; Statistics Canada January 2026 central projection reaching 19.8M; high-growth 23.1M; low-growth 17.4M. Alto's CEO's 22M-in-fifteen-years forecast is marked as an outlier above the current path.
    Figure 2 — Corridor population: the 6.3-million deficit. The pre-2024 counterfactual (~1.8%/yr) reaches 26.1 million by 2055; Statistics Canada’s post-cap January 2026 projection (~1.0%/yr) reaches 19.8 million — a 6.3-million gap that every ridership figure scales with. The open diamond marks Alto’s own forecast of 22 million within fifteen years; its implied ~1.35%/yr growth runs above the current path.
    Triangulation

    Where Alto’s target sits against every independent forecast

    The three methods converge. The demand-side build-up sums to about 8 to 9 million a year; the bottom-up modal-shift model lands in the same place; the reference class puts a floor near 4 to 5 million. Set beside the full band of independent corridor estimates, Alto’s 24-million target stands alone above every one.

    Figure 3 — Independent corridor ridership estimates around 2055. Alto's published target of 24.0M is shown as an outlier above every independent forecast: Munk School 16–17M, C.D. Howe 12–21M, Federal Joint Project Office 13.5M, McGill TRAM 10.5M, and the Initiative's own central case at 9.2–12.1M.
    Figure 3 — Independent corridor ridership estimates against Alto’s target. Annual corridor ridership around 2055. Alto’s 24-million target stands alone above every independent forecast — the Munk School, C.D. Howe, the Joint Project Office, and McGill — and above the Initiative’s own central case (filled markers). The open markers plot the Initiative’s method on the pre-2024 population Alto’s numbers assume; even then it stays within the published band, so the distance is population basis, not method.
    The Claim, Audited

    Where the 95-million figure appears — and where it doesn’t

    A demand denominator on which a $60–90 billion capital commitment rests should be reproducible from published sources. Alto’s is not. The ninety-five-million and one-hundred-and-forty-million figures are stated in the April 2026 commentary without citation and are absent from every canonical planning document the corporation has published.

    PresentImbleau, M., “High-speed rail is not a leap of faith: why it matters for Canada’s growth” — Op-ed, Toronto Star and La Presse, April 17, 2026; reproduced on altotrain.ca. The single document in which the 95-million and 140-million figures appear. Stated without citation, methodology, or reference to any underlying study.

    AbsentFast Forward: Shaping Canada’s Future with a High-Speed Rail Network (March 2025) — Alto’s own public-facing explanatory document. Discusses ridership growth from ~3 million (2024) to 24 million (2055) and 43 million (2084), but does not reference the 95-million intercity-trip figure or provide any market-total denominator on that scale.

    AbsentVIA HFR – VIA TGF Inc., Corporate Plan Summary 2024-25 to 2028-29 (November 2024) — the corporation’s tabled planning document referenced by the Library of Parliament backgrounder on the project. Contains ridership targets (“17 million by 2059” for HFR, before the HSR rebrand) but no 95-million total-market figure.

    AbsentJune 2026 What We Heard Report on the corridor study area — Alto’s own summary of the January–April 2026 consultation, running to more than 130 pages. Does not reference a 95-million figure.

    AbsentQuarterly Financial Reports through Q3 2025-26 — Alto’s mandatory reporting to Parliament. Does not reference a 95-million figure.

    AbsentIndependent published analyses of the corridor — the C.D. Howe Institute’s All Aboard study (March 2026), the Munk School Global Economic Policy Lab’s HSR analysis, Transportation Research at McGill’s corridor demand modelling, and Michael Schabas’s Senate submission on Bill C-15 (January 2026, 65 pp.). None uses the 95-million figure.

    The finding does not, on its own, resolve whether the 95-million figure is defensible. It resolves whether the figure is auditable. On the public record as it stands, it is not: no derivation has been published, no methodology has been described, and no independent source has adopted it.

    Recommendation

    Three things follow

    The demand case that anchors a 1,000-kilometre corridor, a $60–90 billion capital commitment, and a multi-decade delivery programme cannot responsibly rest on figures that have not been made auditable. Three steps would meet the standard.

    Release the demand model for independent audit

    A forecast that anchors an alignment and a multi-decade capital commitment cannot responsibly remain unpublished. In particular, the derivation of the ninety-five-million and one-hundred-and-forty-million intercity-trip figures cited in the April 2026 commentary should be published alongside the underlying model.

    Adjust toward the reference class and current population

    Standard megaproject appraisal requires promoter forecasts to be adjusted toward the reference class rather than accepted at face value. Alto’s should also be re-based on Statistics Canada’s January 2026 population projection, rather than the pre-2024 path the current forecast assumes.

    Size the corridor decision to the audited demand

    Not to a ninety-five-million headline or a twenty-four-million target that no independent method reaches. High-speed rail need not be a leap of faith. But the demand case as currently stated is closer to one than the corridor’s own numbers allow.

    Download Full Brief
    Undressing the Addressable Market (PDF)
    Full methodology, tables, figures, basis and limitations, and complete source citations

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    Sources

    Primary documents and data

    Every figure in this analysis is drawn from the public sources or companion analyses set out below and is reproducible from them. Sources are grouped by the claim or quantity they support.

    1.The claim examined. Imbleau, M., President and Chief Executive Officer of Alto. “High-speed rail is not a leap of faith: why it matters for Canada’s growth.” Commentary, altotrain.ca, April 17, 2026. altotrain.ca. The source, stated without further citation, of the ninety-five-million and one-hundred-and-forty-million intercity-trip figures, the eighteen-to-twenty-two-million population claim, and the twenty-four-million passenger target for 2055.

    2.Alto planning documents in which the 95-million figure does not appear. Alto, Fast Forward: Shaping Canada’s Future with a High-Speed Rail Network (March 2025). VIA HFR – VIA TGF Inc., Corporate Plan Summary 2024-25 – 2028-29. Alto, June 2026 What We Heard Report on the corridor study area public consultation. All at altotrain.ca.

    3.Companion research, Citizen Research Initiative. Intercity Car Trips Between Toronto, Ottawa and Montréal (2026) — road-side measurement of end-to-end car travel at the Highway 401 Québec-boundary screenline, the per-leg car person-trips of Table 1, and the road-market capture rates of Table 2. HPR Research Report — Ridership (2026) — the demand reference class and Car Dependency Index (Figure 1); the modal-shift model, R = P × μ × s × φ(t); the population basis (Figure 2) and the 6.3-million deficit; and the triangulation against independent forecasts (Figure 3). All at citizenresearch.ca.

    4.Traffic and travel-demand data. Ministry of Transportation of Ontario, Provincial Highways Traffic Volumes — annual average daily traffic on Highway 401, sections between the Highway 416 interchange and the Québec boundary. VIA Rail Canada, 2025 Annual Report (Montréal, March 2026): 4.40 million passengers system-wide and 986 million passenger-miles; 4.18 million on the Québec City–Windsor corridor and 3.34 million on the Corridor East service group; audited service-group subsidy figures implying an average Corridor East trip of about 355 kilometres. Statistics Canada, Air passenger traffic at Canadian airports (table 23-10-0253), together with airport-authority passenger statistics for Toronto Pearson, Montréal–Trudeau, and Ottawa Macdonald–Cartier. Transport Canada, Transportation in Canada annual report.

    5.Population. Statistics Canada, Population Projections for Canada, Provinces and Territories, January 2026 vintage (catalogue 17-20-0003), which incorporates the 2024–25 federal Immigration Levels Plan; and Census of Population, 2021, for the corridor’s census-metropolitan-area populations. These underpin the 19.8-million (post-cap) and 26.1-million (pre-2024 counterfactual) 2055 corridor figures and the 6.3-million deficit.

    6.Comparator corridor forecasts. Transport Canada and the EcoTrain consortium, Updated Feasibility Study of a High-Speed Rail Service in the Québec City–Windsor Corridor (2011). Federal Joint Project Office and the VIA High Frequency Rail baseline (2021). Transportation Research at McGill (TRAM), corridor demand modelling. C.D. Howe Institute (2026), high-speed-rail scenario. Munk School Global Economic Policy Lab, corridor demand. Schabas, M., Alto High-Speed Rail: Conceptual Design and Business Case, Senate submission on Bill C-15 (January 2026). These supply the independent ridership band of Figure 3.

    7.Forecasting method and optimism bias. B. Flyvbjerg, “Survival of the Unfittest: Why the Worst Infrastructure Gets Built — and What We Can Do About It” (Oxford Review of Economic Policy, 2009), and related work establishing reference-class forecasting; B. Flyvbjerg and D. Gardner, How Big Things Get Done (2023). HM Treasury (United Kingdom), The Green Book and its supplementary guidance on optimism bias. Oxford Global Projects, reference-class forecasting datasets and practice. UK National Audit Office, successive reports on High Speed 2 (HS2) documenting systematic optimism in demand forecasts and cost escalation.

    ALTO HSR Citizen Research Initiative  ·  citizenresearch.ca  ·  Corridor Demand Brief  ·  July 2026
    Independent, non-partisan research on the proposed Toronto–Québec City high-speed rail corridor.

  • High cost, low benefit claim

    High Cost, Low Benefit — For Whom?

    An ALTO Vice-President says the rail alternative would cost about as much as high-speed rail without the benefits. The government’s own record — and ALTO’s own document — say otherwise.

    ALTO HSR Citizen Research Initiative · Analysis · June 2026
    In short

    In a recent public video, an ALTO Vice-President argues that high-frequency rail would still need dedicated track, would therefore cost about as much as high-speed rail, and would deliver less — a “high cost, low benefit” option. The claim runs against the public record. The government’s own reports costed a dedicated-track high-frequency railway far below high-speed rail, and judged it buildable in a fraction of the time. What shifted that cost to “similar” has never been made public.

    On the benefit side, ALTO’s case rests on ridership the international reference class does not support. Tested against ALTO’s own document and the Initiative’s financial analysis, the high-cost option turns out to be the one being built.

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    High Cost, Low Benefit — For Whom?
    The full research brief, with sources (PDF)
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    The Argument

    What the video claims

    The argument is a single chain. High-frequency rail, the video says, is often presented as the cheaper alternative — but it would still require new dedicated track, so its cost would rise to roughly that of high-speed rail, while delivering lower travel-time, ridership, and economic benefits. The conclusion offered to viewers is that high-frequency rail is a “high cost, low benefit” option, while high-speed rail delivers both speed and frequency.

    It is a clean story. Two problems sit beneath it before any single figure is examined.

    It claims a cost convergence the record contradicts

    The video is right that high-frequency rail needs dedicated track — it does not claim trains would share track with freight. Its claim is that building that dedicated track pushes the cost up to roughly high-speed rail’s. The government’s own reports say otherwise, on both cost and time. A dedicated-track, electrified high-frequency railway was costed at $27.7 billion in the December 2021 Business Case — and roughly $4–6 billion in its original 2016 form — and judged buildable in about four years. High-speed rail is now costed at $60–90 billion, on a build horizon stretching into the 2040s. What evidence moved high-frequency rail’s cost and schedule up to “similar” has never been explained, and no side-by-side comparison has been made public.

    It never engages the alternative the Initiative proposes

    The video treats high-frequency rail as the only alternative to high-speed rail. The Initiative’s proposal is different again: High Performance Rail (HPR) builds dedicated passenger track along existing transportation corridors — such as the CN right-of-way and the Highway 401 — and frees the Kingston Subdivision for freight. It is neither the government’s old high-frequency plan nor ALTO’s high-speed one, and ALTO has never assessed it.

    Tested Against the Record

    Three claims, three answers

    $27.7B
    what a dedicated-track high-frequency railway was costed at — against $60–90B for high-speed rail
    2021 JPO Business Case
    5×
    the cost-per-kilometre gap between ALTO and High Performance Rail in the Initiative’s model
    $142M vs $28M per km
    0.11
    ALTO’s central benefit-cost ratio — well below the 1.0 that marks a project that pays its way
    Initiative methodology paper

    The video makes three factual claims — on cost, on speed, and on benefit. Each can be checked against ALTO’s own published document and the Initiative’s analysis.

    The claim in the videoWhat the record shows
    “It would cost on a similar scale to high-speed rail.” Contradicted by the public record. The government’s own 2021 Business Case put a dedicated-track high-frequency railway at $27.7 billion, against ALTO’s $60–90 billion. Even ALTO’s own Annex B places its “conventional rail” comparator 20–30% below high-speed rail. The Initiative’s reference-class model — a regression across more than forty international projects — puts ALTO at $142M/km and HPR at $28M/km, a five-fold gap. “Similar scale” holds on none of these.
    “Without significantly faster travel times.” Conventional speed already captures most of the benefit. A 177 km/h dedicated-track service was set to cut Toronto–Ottawa from over four hours to about two hours fifty. By ALTO’s own travel-time table, going to 300 km/h saves only a further 17 minutes on Toronto–Ottawa, 19 on Ottawa–Montréal, and 25 on Montréal–Québec. Most of the time saving comes from leaving freight-priority track — not from the extra speed.
    “Lower ridership and reduced economic benefits.” The benefit case rests on ridership the reference class does not support. ALTO’s 24-million-trip target sits outside the achievable modal-shift frontier of 5–12 million annual riders. No operating posture is subsidy-free; each requires roughly $1–3.5 billion per year. The central benefit-cost ratio is about 0.11. The “high benefit” half of the slogan is the half that does not survive checking.
    A Note on the Travel Times

    Estimated, not simulated

    There is a further problem with the speed claim, separate from how small the gain is. The faster journey times were never modelled for this corridor at all. A government record released under the Access to Information Act (file A-2025-00333) shows that the project office produced a detailed RailSys simulation only for the 177 km/h base case. Every faster journey time was a spreadsheet estimate, benchmarked to average speeds on intercity railways in other countries — described in the project’s own memorandum as “for information and comparison purposes” and left to be refined later.

    In other words, the under-three-hour trips that make high-speed rail attractive have no corridor-specific engineering behind them in the released record. The one number anyone actually drove through a model of the real line is the slow one.

    Read the full record

    The Initiative examines this in detail — the two methods, the journey-time tables, and how the speed ceiling was set as a policy target — in a companion research note, Estimated, Not Simulated, based on the same Access to Information release.

    The Carbon Case

    A carbon debt, not a carbon saving

    The video folds environmental benefit into ALTO’s column, on the assumption that faster, higher-ridership rail is the greener choice. The Initiative’s 50-year lifecycle analysis finds the opposite once construction and a decarbonising vehicle fleet are counted. ALTO’s build is a large one-time carbon debt before a single passenger boards — about 14.7 Mt CO₂e in the central construction estimate — and with fifty years of operations the lifecycle total lands at roughly 24 to 27 Mt CO₂e on Ontario’s current grid, and as much as 34 Mt if the grid leans more on gas.

    That debt only counts as a saving if the trips it captures would otherwise have been higher-carbon — and the payback math is unforgiving. At the ridership the corridor is most likely to see in its early years, around 4 million passengers a year, no scenario repays the construction debt within a credible horizon. Even at mature ridership, payback runs from a few decades to more than five hundred years, depending on how clean the grid is.

    The comparison only worsens with time. By the 2040s, when ALTO might open, much of the car fleet will be electric — and an electric car carrying 1.2 people already emits about 10 g CO₂e per passenger-kilometre, below ALTO’s all-in emissions at every ridership level on today’s grid. Diverting existing VIA Rail passengers, at roughly 25 g/pkm, saves nothing at all. ALTO’s carbon case rests on displacing gasoline cars and short-haul flights — not the fleet that will actually be on the road when it opens.

    Most of that debt is greenfield construction. An approach that runs on existing corridors — as High Performance Rail does — avoids the bulk of it, and the single largest carbon lever, shifting freight off congested track, is available whatever the trains’ speed or traction.

    Why the Gap Is Real

    The cost difference is structural, not arithmetic

    The five-fold difference in the Initiative’s model is not an accounting artefact. A 300 km/h design forces a new dedicated greenfield alignment — grade separation, gentle curves, continuous fencing, and large-scale land acquisition — through terrain that scores high on both engineering complexity and community friction. Both the government’s high-frequency plan and the Initiative’s HPR instead run on or alongside existing corridors, which is why each comes in well below the high-speed option. In the Initiative’s model, the gap between high-speed rail and HPR splits roughly evenly between physical engineering and community friction — the cost of the land, the disruption, and the opposition that a new high-speed right-of-way creates.

    The Bottom Line

    High cost, low benefit — for whom?

    The video’s thesis — that high-frequency rail is high cost and low benefit while high-speed rail delivers both — is contradicted by the government’s own record. High-frequency rail was a fully studied, dedicated-track plan, priced at $27.7 billion in 2021 and a fraction of that in its original form, and due to be carrying passengers now. The decision to replace it with a 300 km/h, $60–90-billion project was taken without a published comparison; the video supplies the missing conclusion after the fact.

    On the evidence available, the high-cost option is the one that was chosen. The lower-cost alternatives — the government’s own, and the Initiative’s — were set aside without being weighed in public. That is the question the slogan invites, turned back on itself: high cost, low benefit, for whom?

    Sources

    Primary documents

    1.
    ALTO, Fast Forward: Shaping Canada’s Future with a High-Speed Rail Network (March 2025) — cost ranges, travel times, and ridership targets, main text and Annex B. altotrain.ca
    2.
    Joint Project Office High Frequency Rail Project, Business Case Update, V.002 (December 10, 2021) — dedicated-track design, $27.7 billion costing, and four-year construction estimate.
    3.
    The Globe and Mail, “Transport Canada reviewing studies on Via Rail expansion” (July 2017) — the original 2016 high-frequency concept at roughly $4–6 billion. theglobeandmail.com
    4.
    “VIA HFR-TGF Journey Times” memorandum and accompanying email chain (August–September 2023), released under the Access to Information Act as file A-2025-00333 — simulated base case versus estimated higher-speed times.
    5.
    ALTO HSR Citizen Research Initiative, ALTO Financial Analysis (methodology paper and supporting research notes) — cost-per-kilometre model, ridership frontier, subsidy spectrum, benefit-cost ratio, and lifecycle carbon. ALTO-Financial-Analysis.pdf
    6.
    ALTO HSR Citizen Research Initiative, 50-Year Lifecycle CO₂ Budget — Parametric Analysis (March 2026) — construction, operational, payback, and modal-comparison figures, drawing on HS2, UIC, and international HSR lifecycle studies.
    7.
    Statements examined: public video by an ALTO Vice-President (June 2026).
    ALTO HSR Citizen Research Initiative  ·  citizenresearch.ca  ·  Analysis  ·  June 2026
    Independent, non-partisan research on the proposed Toronto–Quebec City high-speed rail corridor.

  • The bill that has to balance

    The Bill That Has to Balance

    A plain-language guide to how we evaluated the cost of the proposed ALTO high-speed rail line — starting from one simple rule that every railway in the world has to obey, and following it through to a number the government’s own claims do not match.

    ALTO HSR Citizen Research Initiative · Financial Framework · Published May 2026
    ⚠ What this is

    This is the readable version of a longer technical paper. The full document and slide deck show every calculation; this post explains, in everyday terms, what we did, why, and what we found — with no maths background assumed.

    The short version: the project’s likely capital cost is roughly double what the government has stated; the trains cannot pay for themselves at any realistic ticket price; and the project’s headline ridership target of 24 million passengers a year sits outside the range that any comparable line has ever achieved.

    The one idea to take away

    Every operating railway in the world has a bill that has to balance every year. What it costs to build and run the line on one side; where the money to cover that comes from on the other. The money can only come from three places: ticket sales, a government subsidy, or value captured from land near the stations.

    You can argue about any single number. What you cannot do is leave one side of the bill short. If a proponent quotes you a low cost and a high number of riders but never tells you the subsidy, the subsidy is simply the part of the bill they haven’t shown you — it doesn’t disappear. Our whole method is just: fill in every blank on the bill using independent evidence, and see what the missing number turns out to be.

    Read in full
    A Framework for Independent Evaluation of the ALTO HSR Project
    The complete methodology, every rubric and dataset, and a slide deck version — all published and reproducible
    All documents Full PDF Slide deck
    Start Here

    The bill every railway has to balance

    Imagine your household budget. Whatever you spend has to be matched by money coming in — from your salary, your savings, a loan. A railway is no different, just bigger. There are two kinds of cost: the enormous one-time cost of building the line (paid off gradually, like a mortgage), and the ongoing cost of running it every year — staff, electricity, maintenance, replacing worn-out trains.

    Those costs have to be paid for. There are only three sources. Here is the whole thing on one line:

    The annual fiscal ledger

    Cost to build (yearly share) + cost to run = ticket sales + government subsidy + land value capture

    The left side is what the railway costs each year. The right side is where that money comes from. The two sides must be equal — that’s what “balance” means.

    In plain terms

    “Land value capture” means a railway can sometimes raise money from the rise in nearby land prices that a new station creates — for example by developing land around the station. It’s a real tool, but a modest one in Canada, and ALTO has named no such mechanism. So for ALTO that third source is effectively zero, which leaves only two: tickets and subsidy.

    Here is the consequence that does all the work. Once you’ve pinned down the cost, the ticket revenue, and the land capture using evidence, the subsidy isn’t a choice anyone gets to make — it’s whatever is left over to make the bill balance. It’s a leftover, not a decision. That single insight is why a project can claim to be “self-sustaining” and still, on its own numbers, need billions of dollars of public money a year. The subsidy was always there; it just wasn’t written down.

    The Method

    Seven steps to fill in the blanks

    To fill in each part of that bill honestly, we built a seven-step process. Each step answers one question using published evidence rather than the project’s own marketing, and each step shows its work so that anyone who disagrees can re-run it with their own assumptions. Here is what each step asked, and what it found for ALTO.

    1

    How hard is this to build?

    Engineering complexity, compared to rail lines around the world

    We scored the corridor’s technical difficulty against an international database of comparable projects. ALTO lands in the upper “High” band — among the most demanding corridors anywhere in the world. Hard things cost more and run late more often; this matters for every number that follows.

    2

    How smooth will getting it approved and built be?

    Community, consultation and consent risk

    We measured the friction the project faces from communities, landowners and the consultation process. The score lands in the band where comparable megaprojects’ cost overruns tend to cluster — another reason to expect the final bill to climb.

    3

    What will it really cost to build?

    Capital cost, calibrated against similar projects

    The government states $75 billion. Comparing ALTO to a reference class of similar railways and adjusting for its difficulty, our central estimate is $143 billion — nearly double — with a worst-case ceiling of $264 billion. The stated budget sits at the very bottom of the plausible range.

    4

    What will it cost to run, every year?

    Operating cost, built up from the actual assets

    Adding up staff, operations, maintenance and replacing trains as they wear out gives about $2.15 billion a year. To cover just that running cost from fares, the line would need roughly 12.5 million passengers a year — and even then it only recovers about 80 cents of every dollar.

    5

    How many people would actually ride it?

    Realistic ridership, and the subsidy that follows

    Based on how many travellers comparable lines actually pull off the roads and out of the air, a realistic range is 5 to 12 million riders a year, with a sensible target near 8 million. ALTO’s headline figure of 24 million sits outside that range entirely.

    6

    Is it worth it?

    Benefits weighed against costs

    Weighing all the benefits against all the costs gives a ratio of about 0.11 — roughly eleven cents of benefit for every dollar spent. To make the 24-million target pay, tickets would need to cost between $381 and $1,596 — and 24 million riders is unreachable anyway.

    7

    Would a serious gatekeeper approve it?

    Tested against Norway’s independent project-review system

    Norway runs big projects through two independent quality gates before funding. Run through those gates, ALTO fails most of the criteria at both stages — described as a textbook example of exactly the kind of project the Norwegian system was built to catch.

    What “reference class” means

    Rather than trust a project’s own optimistic forecast, you line it up against a large group of similar projects that have already been built, and ask: what actually happened to those? It is one of the most reliable ways known to forecast cost and ridership, precisely because it sidesteps wishful thinking.

    The Headline Figures

    Three numbers that frame the whole thing

    Cost to build
    $143B
    Our central estimate — against a stated budget of $75B
    Value for money
    11¢
    Of benefit returned per dollar spent (a benefit-cost ratio of 0.11)
    Ridership gap
    24M
    The stated target — against a realistic ceiling near 12M

    None of these is a guess plucked from the air. Each one is the output of one of the seven steps above, and each step publishes the data and the scoring behind it. The point of putting them together is simple: a project whose costs are understated, whose value-for-money is low, and whose ridership is overstated does not become viable just because its three weaknesses are described in separate documents.

    The Part Nobody Mentions

    No ticket price makes the bill disappear

    Here is where the “bill that has to balance” idea pays off. There is a temptation to think the subsidy could be designed away — charge higher fares, or fill more seats. So we tested the three obvious strategies. In every case, a large public subsidy remains. The only thing that changes is how the cost is split between the passenger and the taxpayer.

    Charge premium fares
    ~$1B / yr

    Trade-off:High ticket prices, so fewer riders. Lowest subsidy — but still about a billion a year.

    Match airline fares
    ~$2B / yr

    Trade-off:Prices in line with flying. A moderate middle path — roughly two billion a year.

    Deep discounts, fill seats
    ~$3.5B / yr

    Trade-off:Cheap tickets, more riders — but the lowest fares mean the largest subsidy.

    Notice what this means. Choosing among these isn’t a choice between “subsidised” and “unsubsidised” — every option is subsidised. It’s only a choice about who pays: the rider at the ticket window, or the taxpayer through the public purse. That is a perfectly legitimate political decision to make out in the open. What isn’t legitimate is pretending the choice doesn’t exist.

    And that is exactly why one specific government claim does not hold up. On 22 April 2026, the government stated the operation would be “financially self-sustaining” — meaning fares alone would cover running costs. But no realistic level of ridership produces enough ticket money to cover the $2.15 billion annual running cost. Measured against every comparable high-speed line operating in the world, that claim simply isn’t consistent with the evidence.

    The Bottom Line

    What the filled-in bill shows

    Put the seven steps together and the picture is consistent, not cherry-picked:

    Roughly double the cost

    The likely cost to build is about twice the stated budget — and the stated figure sits at the bottom edge of what’s plausible.

    Cannot pay its own way

    At no realistic fare do ticket sales cover even the cost of running the trains, let alone building the line.

    Eleven cents on the dollar

    The central value-for-money ratio is about 0.11 — far below the level at which a project is normally considered worthwhile.

    A ridership target out of reach

    The 24-million figure lies outside the range any comparable line has achieved, and the subsidy is required no matter what.

    Measured against Norway’s independent review standard — one of the most respected gatekeeping systems for large public projects — ALTO fails the majority of the tests at both the early-concept stage and the pre-funding stage.

    In Fairness

    This is a recommendation, not a verdict

    It matters how this is meant to be read. The seven-step process produces a recommendation, not a decision. The decision belongs to elected officials and the public — ideally informed by an independent authority such as the Parliamentary Budget Officer.

    The purpose of all this work is narrow and, we hope, fair: to put a balanced, contestable record on the table, so that the choice about which rail corridor Canada builds rests on evidence rather than on headline numbers. Every step publishes its rubric, its scoring, and its data. If you disagree with any finding, you are invited to re-run it under your own assumptions — that openness is the whole point.

    A good public investment can survive this kind of scrutiny. The questions below are the ones any major rail proposal should be able to answer plainly.

    1. On cost: If the stated budget sits at the bottom of the plausible range, what is the realistic central figure — and what happens to the case if the cost lands there?
    2. On the subsidy: Since fares cannot cover running costs at any realistic ridership, what annual public subsidy is the government planning for, and who decided how to split the cost between riders and taxpayers?
    3. On ridership: What evidence supports 24 million riders a year when comparable lines top out far below that — and what does the business case look like at a realistic 8 to 12 million?

    None of these questions presupposes opposition to passenger rail, which many people support. Each asks only that the project state plainly what its own numbers imply — so the public can weigh a real proposal rather than a hopeful one.

    Read the full framework
    A Framework for Independent Evaluation of the ALTO HSR Project
    The complete methodology, the seven-stage pipeline, and every rubric, score and dataset — published and reproducible
    All documents Download PDF
    ALTO HSR Citizen Research Initiative  ·  citizenresearch.ca  ·  Financial Framework — Plain-Language Edition  ·  May 2026
    Independent, non-partisan research on the proposed Toronto–Quebec City high-speed rail corridor.

  • Modal shift subsidy

    Citizen Research Initiative · Modal Shift Analysis · Note 4

    The Subsidy Frontier and the ALTO Operating Trilemma

    High ridership and low subsidy are mutually exclusive on this corridor. A continuous-spectrum framework relating subsidy, fare revenue, ridership and net public cost — and the structural reason the published 24-million target sits outside every operating point on the frontier.

    ALTO HSR Citizen Research Initiative · Modal Shift Note 4 · Published May 2026
    ⚠ What This Note Examines

    This note extends Notes 1, 2 and 3 from three discrete regimes to a continuous subsidy spectrum, relating four quantities along it: annual operating subsidy, ridership, fare revenue, and net public cost. It identifies the welfare-efficient and revenue-maximising operating points, and adds full-cost accounting across three capital-cost scenarios.

    The result is the corridor’s operating trilemma: high ridership, low subsidy, and P3 break-even cannot be achieved simultaneously. The choice among them is a single-degree-of-freedom political-economy decision — one that the published business case does not make explicit.

    Bottom Line

    The modal-shift framework from Notes 1 and 2, combined with the demographics of Note 3, produces a fixed frontier of (subsidy, ridership) combinations. The corridor cannot simultaneously deliver Regime A ridership (11–12 million) at Regime C subsidy levels ($0.5–1.5 billion/yr). Any public communication implying otherwise is selecting figures from different points on the frontier and presenting them as one outcome.

    Ridership rises concavely with subsidy — from ~5M at $0.3B/yr to ~12M at $5B, hitting diminishing returns as it approaches the modal-shift ceiling. Revenue is hump-shaped, peaking at ~$1.29 billion at $1.9 billion subsidy. The marginal net public cost per added rider has a U-shaped minimum at ~$400/rider near Regime B. Different objectives select different optima: maximising revenue or minimising per-rider cost → Regime B; minimising total public cost → Regime C; maximising ridership under a fiscal cap → Regime A.

    And the P3 break-even corner is structurally unreachable: against an achievable peak fare revenue of $1.29 billion, P3 break-even revenue is ~$4.3 to $5.0 billion — a gap of $3.17 billion/yr at peak revenue, even under the proponent’s own $75B capex base case. ALTO’s published 24-million-by-2055 target sits outside every point on the frontier and is incompatible with any defensible operating-regime choice.

    Download
    Modal Shift Note 4 — Subsidy Frontier & Optimisation (PDF)
    The full note with all four figures and two tables: the trilemma, the ternary locus, the four-panel frontier, the scissors chart, the five optimisation objectives, and the full-cost accounting across three capital scenarios
    Download PDF
    The Trilemma

    No operating regime achieves all three objectives

    The corridor faces three ideal objectives that cannot be reconciled: high ridership (at the level of ALTO’s public targets), low subsidy (operating surplus), and P3 break-even (revenue covering operating cost plus private capital service). Every point inside the realistic operating frontier is achievable under some combination of fare, subsidy and modal-shift parameters; every point outside it is structurally infeasible.

    The ALTO operating trilemma: a dashed outer triangle of three ideal objectives with a smaller solid feasible operating region inside, and Regimes A, B, C positioned within it
    Figure 1. The ALTO operating trilemma. The dashed outer triangle marks the three ideal corners; the solid inner triangle is the realistic operating frontier. Regimes A and C approach their respective corners but cannot reach them; Regime B sits on the frontier edge, achieving the revenue peak. The P3 break-even corner is structurally unreachable: operating cost (~$1.8–2.5B/yr) plus private capital service ($2.49B/yr at the $75B base case) puts break-even revenue at ~$4.3–5.0B/yr, against an achievable peak of $1.29B at Regime B — a $3.17B/yr gap that operating-posture choice alone cannot close.
    The operating locus in objective space, ternary view: a one-dimensional curve tracking the low-subsidy to high-ridership edge, never entering the P3 break-even corner
    Figure 2. The operating locus in objective space, ternary view. Each operating point is mapped to barycentric coordinates of its normalised achievement of the three objectives. Two features stand out: the locus is a one-dimensional curve, not a region — the corridor has only one operational degree of freedom (the subsidy level); and it tracks the low-subsidy ↔ high-ridership edge closely, never entering the P3 break-even wedge. The maximum P3 score along the locus is ~0.30 under the $75B base case. The trilemma is not three symmetric tradeoffs but a single dominant tradeoff (ridership ↔ subsidy) with P3 break-even as a structurally unreachable third axis.
    1 · Framework

    From three regimes to a continuous spectrum

    Note 3 developed three discrete regimes — A (heavy subsidy), B (moderate, at parity with air), C (minimal, P3 yield management) — producing aggregate corridor modal shares of ~40, 30 and 22% and requiring annual operating subsidies of ~$3.5B, $2.0B and $1.0B. This note extends that to a continuous subsidy spectrum to identify the optimisation properties of the corridor’s operating posture.

    The framework relates four quantities along the spectrum: annual subsidy (the federal operating contribution for the chosen fare posture), ridership (the resulting modal shift across air, road and existing rail), fare revenue (riders × average fare), and net public cost (subsidy minus revenue, negative meaning self-financing). Each is anchored on Note 3’s central demographic 2055 scenario (corridor population 20.1 million, addressable trips 34.2 million). The mapping from subsidy to fare ratio is a smooth logistic reproducing the three regime anchors — ~1.3 at $1.0B (deep premium), ~1.0 at $2.0B (parity), ~0.6 at $3.5B (deep discount) — and the mapping from fare ratio to per-mode capture comes directly from the Note 1 and Note 2 S-curves.

    2 · The Frontier

    Ridership, revenue, and net public cost vs subsidy

    Disaggregating the relationships folded together in Note 3’s regime summary reveals the corridor’s subsidy frontier across the continuous spectrum, with the three regime anchors (C, B, A) marked.

    Four-panel subsidy frontier: ridership vs subsidy, revenue vs subsidy, net public cost vs subsidy, and marginal cost per added rider
    Figure 3. The subsidy frontier at the central 2055 anchor. (a) Ridership rises concavely from ~5M at $0.3B to ~12M at $5B — diminishing returns toward the modal-shift ceiling. (b) Fare revenue peaks near $1.9B subsidy at ~$1.29B, then declines as fare cuts overwhelm ridership gains — a Laffer-like structure. (c) Net public cost crosses zero near $1.3B subsidy: below it the corridor runs a surplus, above it a net outlay rising to ~$4B at $5B subsidy. (d) Marginal net public cost per added rider has a U-shaped minimum of ~$400/rider near Regime B, rising to ~$1,000 at Regime A. The ~$85/rider reference line is an illustrative federal value-of-time figure.

    Ridership is concave

    The first dollars of subsidy buy many riders (the steep part of the S-curves); the last buy few (the saturating top). Marginal effectiveness falls sixfold — ~2.5M riders per $B at the low end, ~0.4M per $B at the high end.

    Revenue is hump-shaped

    At low subsidy the corridor is in the premium-fare zone where each rider pays more, so revenue rises with ridership; past the $1.29B peak, the fare reduction overwhelms the ridership gain.

    Net cost flips at ~$1.3B

    Net public cost transitions cleanly from negative (revenue exceeds subsidy) to positive at ~$1.3B subsidy — between the Regime C anchor ($1.0B) and Regime B ($2.0B).

    3 · The Scissors

    Revenue and subsidy versus ridership

    Plotting the same data with ridership on the horizontal axis shows how subsidy and revenue diverge as the corridor moves up the ridership scale — and overlays the federal capital service ($2.49B/yr at the $75B base case), so each regime shows three quantities: operating subsidy, fare revenue, and full federal cost.

    Scissors chart: operating subsidy rising convexly with ridership while fare revenue stays flat, with full federal cost and the three regimes marked against a modal-shift ceiling near 12 million
    Figure 4. Subsidy and revenue against ridership, central 2055 anchor. The two curves form a scissors: subsidy (navy) rises convexly while revenue (terracotta) is essentially flat. At Regime C (6.1M riders) the corridor returns a ~$260M operating surplus — full federal cost ~$2.23B with capital service added. At Regime B (8.2M) it needs ~$710M net operating outlay — full federal cost ~$3.20B. At Regime A (11.2M), ~$2.42B net outlay — full federal cost ~$4.91B. Capital service exceeds operating subsidy at every regime, even under the proponent’s base case. The chart caps at the ~12M modal-shift ceiling; beyond it, each added rider requires sharply rising per-rider subsidy.

    The scissors structure has direct policy implications. Below ~6.5 million annual passengers the corridor runs a net public revenue surplus — fare revenue exceeds the subsidy needed. Above that it crosses into net-public-cost territory, rising convexly with the target. By 11 million (near Regime A) the corridor needs ~$2.4 billion annually in net public outlay above its fare revenue. Beyond 11.5 million the curve steepens sharply — pushing toward the 24-million public target would require an entirely different operating regime than any of the three considered here.

    4 · Optimisation

    Five objectives, five different optima

    The frontier supports several distinct optimisation objectives that each select a different operating posture. There is no single “optimal” point without first specifying the criterion.

    Table 1. Optimal operating posture under different objective functions, central 2055 anchor. The five candidate optima span Regime C (minimum total public cost), Regime B (revenue peak, per-rider welfare efficiency), an intermediate position (total welfare under moderate social-value assumptions), and Regime A (maximum ridership). “Total welfare” includes ridership × value-of-time × emissions avoided − net public cost, and is strongly sensitive to the assumed social value per rider.
    ObjectiveOptimal regimeRiders 2055SubsidyRevenueNet public cost
    Maximise fare revenueRegime B (parity)~8M$1.9–2.0B$1.29B (peak)+$0.7B
    Min. net cost per riderRegime B (parity)~8M$1.9–2.0B$1.29B$400 marginal
    Min. total net costRegime C (yield mgmt)~6M$0.5–1.5B$1.26B+$0.2B or surplus
    Max. ridership s.t. capRegime A (heavy)~11M+$3.5B+$1.08B+$2.4B
    Max. total welfareBetween B and A~9M$2.5B$1.2B+$1.3B

    Four observations follow. Revenue-maximisation and per-rider welfare-efficiency converge on Regime B — not coincidentally, since the same marginal-revenue-equals-marginal-cost condition defines both the Laffer peak and the marginal-cost-per-rider minimum. Minimum-total-net-public-cost points to Regime C or below, where the corridor runs a small surplus but carries only 5–6 million riders — approximately the posture implied by the Cadence consortium’s announced commercial structure. Ridership-maximisation under a fiscal cap points to Regime A or beyond — but reaching the 24-million target would require pushing past Regime A into subsidy well above $5B/yr and modal share above the 40% ceiling, not feasible under the modal-shift framework. And total-welfare-maximisation is strongly sensitive to the assumed social value per rider: at the illustrative ~$85/rider federal value the optimum is at or below Regime C; only at a high $400/rider — crediting network effects, large emissions externalities, and agglomeration benefits — does it move between B and A.

    There is no single “optimal” operating posture without specifying the criterion. The corridor decision is not one quantitative question but three sequential ones: whether to build at all, what fare posture to operate under, and how to communicate the chosen posture transparently.
    5 · Full-Cost Accounting

    Capital service dominates the operating choice

    The subsidy frontier above considers operating subsidy only — but capital cost service dominates the corridor’s total fiscal commitment, and the capital cost itself is deeply uncertain. ALTO’s materials cite ~$60–90 billion, prepared without reference-class adjustment. The CRI’s reference-class analysis (Flyvbjerg methodology on the international HSR cost database, with corridor-specific complexity premia) produces three scenario points: $75B as the proponent-stated P50, $143B as the reference-class-adjusted P50 (after the 44.7% average rail-project overrun), and $264B as the P95 worst case — with the proponent’s $75B sitting at roughly the 25th percentile of the distribution.

    Table 2. Full federal cost implications across three capital cost scenarios. Full annual federal cost = federal share of capital debt service + Regime B operating subsidy of $2.0B/yr (the welfare-efficient point). Full cost per rider = full federal cost ÷ 8M annual riders (Regime B central 2055). Debt service at 6% blended cost of capital, 40-year amortisation, 50% federal share.
    Capital cost scenarioTotal capitalAnnual debt serviceFederal share (50%)Full annual federal costFull cost / rider
    ALTO proponent-stated$75B$4.5B$2.3B$4.3B$540
    CRI reference-class central$143B$8.6B$4.3B$6.3B$790
    CRI P95 worst-case$264B$15.8B$7.9B$9.9B$1,240

    Capital dominates operating

    Even at $75B, federal capital service ($2.3B/yr) exceeds Regime B’s operating subsidy ($2.0B). At $143B it’s more than double; at $264B, ~four times. The full-cost optimisation is dominated by the capital assumption, not the operating regime.

    6 to 14× the benefit

    Full cost per rider spans $540–$1,240. Against an illustrative ~$85/rider value-of-time, the corridor is 6 to 14× more expensive than the public benefit. Even generous $200–250/rider social values stay 2–6× below full cost.

    Decide before committing

    Once the capital is sunk, the A/B/C choice is second-order. The first-order question — whether to build at all — turns on which capital scenario materialises, and the realistic expected value sits between $143B and $264B.

    ALTO’s composite engineering complexity score is 73–81 (upper part of the High band, approaching Extreme) — the Frontenac Arch crossing, the Napanee Limestone Plain karst, the Leda clay segment, the St-Lawrence crossing, and a Canadian P3 delivery record that includes Eglinton Crosstown (+280%), the Confederation Line (+57%), and the Ontario Line (+250% scope-adjusted). Under Flyvbjerg reference-class forecasting, a corridor at this complexity cannot be reliably costed from the lower-complexity international comparators the proponent’s estimate appears to draw on. The realistic expected capital cost is between $143B and $264B, producing a benefit-cost ratio materially below 1.0 across the full plausible range.

    6 · Implications

    What this means for the corridor decision

    The subsidy choice is a policy decision, not a technical one

    The same physical infrastructure produces materially different outcomes depending on the operating point. Regime C gives ~6M riders at a small surplus; Regime A gives 11M at $2.4B net public cost. That choice should be made explicit in the public business case rather than implicit in the procurement structure.

    The welfare-efficient point sits near Regime B

    Parity with air, ~$1.9–2.0B operating subsidy, ~8M riders, ~$400/rider marginal net public cost — also the revenue-maximising point. A welfare-maximising government and a revenue-maximising operator would converge on similar fares. The business case does not specify which objective is being applied.

    Third, and most important: the public ridership targets cannot be reached from any operating point on the frontier developed here. The 24-million-by-2055 figure would require modal share above the 40% ceiling under heavy subsidy, plus upper-case demographic growth, plus full-corridor mature operation in 2055 — three conditions the modal-shift literature does not support simultaneously. The frontier brackets the realistic operating space; ALTO’s published targets sit outside it. An independent review should ask which point on the frontier the corridor is actually targeting, and what fiscal commitment and modal-shift assumptions that point implies.

    High ridership, low subsidy, and P3 break-even cannot be achieved at once. The 24-million target is not the welfare-efficient operating point under any reasonable parameter choice — it is achievable, if at all, only under heroic assumptions about every operating, demographic, and modal-shift variable simultaneously.
    Download Full Note
    Modal Shift Note 4 — Subsidy Frontier & Optimisation (PDF)
    Reference document with all four figures, both tables, the five optimisation objectives, the full-cost accounting, and the methodology and parameters
    Download PDF
    Methodology

    Framework and parameters

    The framework anchors on Note 3’s central demographic 2055 scenario (corridor population 20.1 million, addressable trips 34.2 million at 1.7 trips per capita) with the regime-coupled phase-maturity factor (Regime C ≈ 0.80, B ≈ 0.88, A ≈ 0.94, following a smooth logistic asymptoting to ≈ 0.96). The market structure is air 15%, existing rail 10%, road 75% of the addressable pool. The mapping from operating subsidy S ($B) to fare ratio r is a logistic, r(S) = 0.4 + 1.3 / (1 + exp(S − 1.8)), calibrated to the three regime anchors; the mapping from fare ratio to per-mode capture comes from the Note 1 air–rail S-curve at 3.0 h and the Note 2 road–rail S-curve at τ = 0.5. Average air fare $160 one-way; rail revenue = riders × (air fare × r). Net public cost = subsidy − revenue.

    Capital cost scenarios ($75B / $143B / $264B) are derived from Flyvbjerg reference-class forecasting on the international HSR cost database with corridor-specific complexity adjustments (composite engineering complexity score 73–81). Capital service is computed at 6% blended cost of capital (combining federal debt service and private equity return), 40-year amortisation, 50% federal share. The CRI’s full capital cost analysis is documented separately at citizenresearch.ca.

    Sources

    Principal sources

    1.
    2.
    ALTO HSR Citizen Research Initiative (2026). Modal shift between rail and car on the ALTO corridor (Note 2).
    3.
    ALTO HSR Citizen Research Initiative (2026). ALTO ridership envelope, 2035–2080 (Note 3) — the population, trip-generation and regime inputs this note’s frontier is built on.
    4.
    Statistics Canada (2026). Population Projections for Canada (2025 to 2075), catalogue 17-20-0003, released 27 January 2026.
    5.
    Transport Canada (2024). Guide to Benefit-Cost Analysis of Transportation Investments — value-of-time and emissions valuation parameters. — and Treasury Board of Canada Secretariat (2007). Canadian Cost-Benefit Analysis Guide: Regulatory Proposals.
    6.
    Flyvbjerg, B., Holm, M.S. & Buhl, S. — reference-class forecasting and the international rail-project cost-overrun database (44.7% average overrun).
    7.
    ALTO HSR Citizen Research Initiative companion material: the Modal Shift & Ridership synthesis brief, which sets this note alongside Notes 1, 2 and 3.
    ALTO HSR Citizen Research Initiative  ·  citizenresearch.ca  ·  Modal Shift Note 4  ·  May 2026
    Independent, non-partisan research on the proposed Toronto–Quebec City high-speed rail corridor.

  • Modal shift ridership

    Citizen Research Initiative · Modal Shift Analysis · Note 3

    The Ridership Envelope for the ALTO Corridor, 2035–2080

    What can the corridor actually carry? Population times trips-per-resident times modal share, scaled by a realistic phased opening — and measured against ALTO’s published 24-million target and every other independent forecast.

    ALTO HSR Citizen Research Initiative · Modal Shift Note 3 · Published May 2026
    ⚠ What This Note Examines

    This note builds a 45-year ridership envelope from three multiplicands — corridor population, per-capita intercity trips, and ALTO’s modal share under three fare-and-subsidy regimes — using the modal-shift machinery from the two companion notes on rail–air and rail–car substitution, and scaling the result by ALTO’s announced three-phase opening.

    The resulting envelope is then compared against ALTO’s published forecasts, the McGill TRAM stated-preference projection, the Munk School GEPL model, the C.D. Howe scenario analysis, and the federal government’s own 2021 Joint Project Office business case.

    Summary

    The corridor population baseline is about 14.9 million across the directly-served CMAs in 2025. The 2024–25 federal cap on non-permanent residents produced a structural inflection — Toronto’s CMA shrank by ~1,000 people in 2024–25 after gaining 269,000 the year before — creating a credible lower trajectory (0.5%/yr) that did not exist in pre-2024 forecasts and bounding the upper trajectory (1.6%/yr) below pre-2024 expectations.

    Three regimes span the policy envelope: heavy subsidy ($2.5–4.5B/yr, ~38–42% capture), moderate subsidy at parity with air ($1.5–2.5B/yr, ~28–32% — the canonical business-case configuration), and minimal subsidy under P3 yield management ($0.5–1.5B/yr, ~20–23%). The combined envelope at mature operation runs from 6.1 to 25.7 million by 2080, central case 12.5 million. The 2055 reading — ALTO’s headline year — is 3.7 to 17.2 million, central case 9.2 million; the corridor is not yet at mature operation in 2055 under the announced phasing.

    ALTO’s published 24-million-by-2055 figure sits ~40% above the upper bound for 2055 and is incompatible with the announced phasing under any plausible ramp curve. Every forecast built from a disclosed methodology — TRAM, Munk GEPL, the federal JPO — sits within or close to the CRI envelope. ALTO’s published targets are the outlier against every other forecast for the corridor.

    Download
    Modal Shift Note 3 — Ridership Envelope Research Note (PDF)
    The full note with all figures and tables: the population trajectories, the three regimes, the phasing and ramp framework, the 2035–2080 envelope, and the comparison with every published forecast
    Download PDF
    1 · Framework

    Three multiplicands

    ALTO’s annual ridership in any year is the product of three quantities: the corridor population served, the average number of intercity trips each resident makes per year across air, rail and car, and ALTO’s share of those trips. Forecasting ridership therefore means forecasting each multiplicand and combining their realistic ranges into an envelope of outcomes.

    The two companion notes supply the modal-share machinery. Note 1 derives the air-substitution S-curve and locates the corridor’s three rail scenarios on it at travel time and price. Note 2 extends the framework to road–rail under a North American calibration anchored on VIA’s 13% rail share against road, and develops the price-ratio, group-size, gas-price and reliability sensitivities. What the two notes do not provide is the population denominator that converts share into absolute volume, the per-capita trip generation that scales the market with demographic change, the temporal phasing that distinguishes opening-year from mature ridership, and the explicit fare-and-subsidy regimes. This note adds those four pieces.

    Ridership = corridor population × intercity trips per capita × ALTO modal share, scaled by ramp-up. Each multiplicand has a defensible range. The envelope combines them.
    2 · Population

    The baseline and the 2024 demographic break

    ALTO directly serves CMAs from Toronto to Québec City. The 2025 baseline is about 14.9 million — Toronto (7.10M), Montréal (4.62M), Ottawa-Gatineau (1.55M), Québec City (0.86M), plus the smaller served centres (~0.8M combined).

    The 2024–25 demographic year produced a structural inflection. The federal Immigration Levels Plan announced in October 2024 was the first to cap temporary residents, requiring a multi-year drawdown. The effect on the two largest CMAs was immediate: Toronto’s CMA shrank by ~1,000 people in 2024–25, following a gain of 269,000 the year before, and Greater Golden Horseshoe growth collapsed from ~313,000/yr to ~40,000. This is a structural break from the baseline pre-2024 forecasts assumed — it invalidates the linear extrapolation of the 2022–24 surge.

    Table 1. Three population trajectories for the directly-served corridor CMAs, anchored on the 2025 baseline of ~14.9M. The central trajectory is the working assumption for the envelope; the upper and lower trajectories define the population-side bounds. Anchored on StatCan’s January 2026 projections (LG / M1 / HG scenarios) with a ~0.4-point corridor-CMA growth premium.
    TrajectoryAnnual growth20502080Driver
    Lower0.5%16.9M19.6MNPR drawdown is structural; aging accelerates
    Central1.0%19.1M25.7MNPR drawdown is one-off; immigration normalises
    Upper1.6%22.2M35.6MPre-2024 pace partly resumes after political cycle
    Corridor population: pre-2024 versus post-2024 trajectories, 2025 to 2080, showing the demographic correction the federal cap on non-permanent residents introduced
    Figure 1. Corridor population trajectories, 2025–2080, comparing pre-2024 (dashed) and post-2024 (solid) demographic assumptions on the same axis. The dashed lines represent the population input comparable published forecasts used; the solid lines reflect the 2024 federal cap and the StatCan data released January 2026. By 2080 the gap is striking — ~50M vs 35.6M (upper), 33.8M vs 25.7M (central), 23.1M vs 19.6M (lower). The post-2024 upper trajectory sits below the pre-2024 central across much of the horizon. Roughly 15 to 25% of the gap between the CRI envelope and the other forecasts is attributable to this single demographic correction alone.

    The trajectories are anchored on Statistics Canada’s official projections (released 27 January 2026), with a ~0.4-point corridor-CMA growth premium reflecting the directly-served CMAs’ historically faster growth — population-weighted ~1.8%/yr over 2000–2025 against the national 1.23%, moderated for Quebec’s projected demographic-weight decline and the Western redirection of interprovincial migration. The 0.4-point premium is a deliberately conservative reading, chosen so the envelope is not vulnerable to the argument that it underweights the corridor’s growth advantage.

    3 · Trip Generation

    Per-capita intercity trips

    The three principal pairs together carry ~19.9 million annual person-trips across air, rail and car (Note 2). Adding the secondary pairs and intermediate-station traffic brings the addressable market to about 25 million annual person-trips — against a 2025 population of 14.9 million, a per-capita rate of about 1.68 trips per resident per year.

    Over a 45-year horizon, competing effects roughly cancel. Hybrid work has structurally reduced corridor business travel below the pre-pandemic baseline, and AI-mediated meetings continue to erode marginal demand for in-person business travel — the literature consistently finds business travel adjusts more elastically to communication technology than leisure travel does. On the supporting side, urbanisation, economic concentration into the corridor, and rising affluence in the secondary centres lift demand. The net effect is roughly stable to mildly declining; this note uses a range of 1.6 to 1.8 trips per capita, central case ~1.7.

    4 · Modal Share by Regime

    Three fare-and-subsidy regimes

    ALTO’s share of the addressable market is the third multiplicand — and the dimension on which the corridor decision turns most directly. The aggregate share is a weighted blend across air, current rail and car markets on the three principal pairs, with realistic group composition (a mix of solo, couple and family travellers) rather than the solo-traveller readings that anchor the time-and-price geometry.

    A

    Heavy operating subsidy — low fares

    Fares at VIA-equivalent levels (rail-to-air ratio 0.4–0.5; per-person rail-to-car ~1.0 solo), capital absorbed into the public account. Annual subsidy $2.5–4.5 billion. Captures ~85% of the air market, ~100% of existing VIA demand, ~22% of the rail+car market on a group-weighted basis. Aggregate share: ~38–42%.

    B

    Moderate subsidy — parity with air (canonical)

    Fares at parity with air (rail-to-air ratio ~1.0; per-person rail-to-car ~2.0–2.4 solo). Annual subsidy $1.5–2.5 billion. Captures ~70% of air, ~95% of existing VIA demand, ~9–11% of rail+car. Aggregate share: ~28–32%. This is the configuration under which the 24-million headline is implicitly framed.

    C

    Minimal subsidy — P3 yield management

    Fares above air parity (rail-to-air ratio 1.1–1.4; per-person rail-to-car 3–4 solo, above 12 for a family of four). Annual subsidy $0.5–1.5 billion — still positive, because the fully self-funded P3 model is not survivable arithmetic at any modal share consistent with the framework. Captures ~50% of air, ~80% of existing VIA demand, ~4% of rail+car. Aggregate share: ~20–23%.

    Table 2. Three fare-and-subsidy regimes, with implied modal capture and aggregate share of corridor person-trips. The factor-of-two range across regimes operates independently of the infrastructure choice — the same physical asset produces double or half the ridership depending on the fare-and-subsidy decision. No regime delivers self-funding at any modal share consistent with the framework.
    RegimeFare structureAnnual subsidyAir captureCar captureAggregate share
    A — HeavyT–Mtl ~$80–130; rair ≈ 0.4–0.5$2.5–4.5B/yr~85%~22%38–42%
    B — ModerateT–Mtl ~$150–220; rair ≈ 0.9–1.0$1.5–2.5B/yr~70%~9–11%28–32%
    C — MinimalT–Mtl ~$220–350+; rair ≈ 1.1–1.4$0.5–1.5B/yr~50%~4%20–23%
    5 · Phasing & Ramp

    Opening-year is not mature-year

    Ridership in any specific year depends on three timing variables: the construction schedule, the segment opening sequence, and the ramp curve on each opened segment. The 2026–2034 period is consumed by consultation, environmental assessment, expropriation, design, P3 negotiation and enabling works — none of it revenue service. Canadian P3 megaproject experience (Eglinton Crosstown, Confederation Line, Ontario Line) suggests timelines slip rather than compress; the earliest plausible phased opening is ~2038, central scenario closer to 2040.

    Phase 1 — Montréal–Ottawa

    Opens first: shortest (~190 km), simplest engineering, but the smallest pair. Serves only the Ottawa–Montréal demand pool (~20% of corridor) — it cannot draw Toronto flows because Toronto isn’t connected yet. Early-year ridership is structurally small.

    Phase 2 — Toronto extension

    The demand inflection point. Adds ~450 km and unlocks Toronto–Ottawa and Toronto–Montréal — ~60% of corridor demand. Cumulative Phase 1+2 coverage is ~80%: the full Toronto–Ottawa–Montréal triangle. Plausible window 2042–2046.

    Phase 3 — Québec City extension

    The most schedule-vulnerable: the St-Lawrence crossing, Leda clay risk, an unsettled routing, and an unresolved federal-provincial cost-share with Québec. Adds the final ~20%. Window 2047–2052, with a credible permanently-deferred scenario.

    The ramp curve in the North American context is meaningfully slower than European comparators. Madrid–Barcelona took ~4 years to decisively overtake the air bridge, under conditions far more favourable to rail than ALTO faces; Brightline Miami–Orlando remains in financial ramp-up with bond ratings downgraded to CCC+. The envelope is calibrated against the Brightline profile for the lower and central cases and Madrid–Barcelona for the upper case.

    Table 3. Ramp factors applied to each opened segment — the fraction of that segment’s mature ridership realised in each year post-opening. Regime C (yield management) ramps slowest; Regime A (low fares) fastest. Applied separately to each phase, with each segment’s clock starting from its own opening year.
    Years post-openingLower (Regime C)Central (Regime B)Upper (Regime A)
    Year 115%25%35%
    Year 335%50%65%
    Year 555%70%80%
    Year 875%85%92%
    Year 10+90%95%100%
    Table 4. Phase opening schedule by scenario. The fare-and-subsidy regime correlates with delivery pace: heavily-funded projects face political pressure for early openings and federal cost-overrun absorption removes renegotiation friction; lean P3 structures slip. Phase 3 moves most widely because of the St-Lawrence crossing and the Québec cost-share. Defensible bounds extend each year by ±2–3.
    ScenarioRegimePhase 1 (Mtl–Ott)Phase 2 (Ott–Tor)Phase 3 (Mtl–QC)
    LowerC — minimal204220482055
    CentralB — moderate204020452050
    UpperA — heavy203820422046

    Under the central scenario, the corridor is at ~29% of mature potential in 2045, ~65% in 2050, and ~88% in 2055 — genuine full-corridor maturity is not reached until around 2060. ALTO’s 24-million-by-2055 figure is incompatible with the announced phasing under any plausible ramp curve: the corridor cannot be mature in 2055 if Phase 3 only opens in 2050. If Phase 3 is permanently deferred but Phases 1–2 complete, mature ridership is ~4.9 to 20.5 million across regimes — the more credible of the downside readings given Québec’s negotiating position.

    6 · The Envelope

    Ridership, 2035–2080

    Combining population, trip generation, regime and phasing produces the envelope below. The lower bound combines Regime C with the lower population trajectory and 1.6 trips/capita; the central case combines Regime B with the central trajectory and 1.7; the upper bound combines Regime A with the upper trajectory and 1.8 — each paired with its corresponding ramp curve and opening schedule.

    9.2M
    CRI central case at 2055 (Regime B)
    3.7–17.2M
    Full 2055 envelope across regimes and demographics
    24M
    ALTO’s published 2055 target — ~40% above the upper bound
    Table 5. ALTO annual ridership envelope, 2035–2080, in millions, with the three-phase opening sequence and ramp applied. Lower: Regime C × lower population × 1.6 trips/cap. Central: Regime B × central × 1.7. Upper: Regime A × upper × 1.8. The 2040 figures reflect Phase 1 alone; 2045 reflects Phase 2 just opening; 2050 reflects Phase 3 just opening. Full-corridor maturity is reached around 2060, not 2055.
    YearStatusLower (M)Central (M)Upper (M)
    2035Construction; no revenue service000
    2040Phase 1 (Mtl–Ott) opening years00.41.8
    2045Phase 1 maturing; Phase 2 opens0.52.89.2
    2050Phase 1+2 maturing; Phase 3 opens1.96.714.8
    2055Phase 1+2 mature; Phase 3 ramping3.79.217.2
    2060All phases near-mature plus growth4.810.218.7
    2070Mature plus sustained growth5.811.321.9
    2080Mature plus full forecast growth6.112.525.7

    Figures 2a–2c plot the year-by-year trajectory under each regime separately. Within each figure, the three lines are the demographic trajectories; the spread within a figure shows demographic uncertainty, and the spread across the figures shows the fare-and-subsidy choice — a policy decision, not an infrastructure one. The 24-million target is marked on each as a reference.

    Ridership trajectory under Regime A, heavy subsidy, low fares: lower, central and upper demographic lines against the 24-million ALTO target
    Figure 2a. Regime A (heavy subsidy, VIA-equivalent fares, $2.5–4.5B/yr). Aggregate share 38–42%. Phase openings 2038/2042/2046. The 2055 readings are 11.0 / 13.6 / 17.2M; the 2080 readings 12.5 / 17.5 / 25.7M. Even the most favourable combination — Regime A with upper demographic growth — leaves the 24M target ~40% above the trajectory at 2055.
    Ridership trajectory under Regime B, moderate subsidy, parity with air: the canonical business-case configuration against the 24-million target
    Figure 2b. Regime B (moderate subsidy, parity with air, $1.5–2.5B/yr) — the canonical configuration under which the published business case is implicitly framed. Aggregate share 28–32%. Phase openings 2040/2045/2050. The 2055 readings are 7.4 / 9.2 / 11.6M; the 2080 readings 8.9 / 12.5 / 18.3M. The target sits above the achievable range by a factor of ~2.1 to 3.2 at 2055.
    Ridership trajectory under Regime C, minimal subsidy, P3 yield management: fares above air parity against the 24-million target
    Figure 2c. Regime C (minimal subsidy, P3 yield management, fares above air parity, $0.5–1.5B/yr) — the configuration most consistent with the consortium’s announced commercial structure. Aggregate share 20–23%. Phase openings 2042/2048/2055. The 2055 readings are 3.7 / 4.6 / 5.8M; the 2080 readings 6.1 / 8.5 / 12.4M. Even the upper demographic falls below the McGill TRAM projection at 2055.

    Three patterns emerge. The regime choice (a policy lever) shifts 2080 central ridership by a factor of ~2 — 17.5M (A), 12.5M (B), 8.5M (C). The demographic choice shifts it by another factor of ~2 — 12.5M (lower) to 25.7M (upper) under Regime A. And the 24-million target sits above every plausible 2055 trajectory in every figure: the closest reading, Regime A with upper growth, produces 17.2M — 28% below the target. Reaching 24M by 2055 requires the most favourable regime, a demographic trajectory above the upper case, and a corridor fully mature by 2055 — three conditions that cannot all hold under the announced phasing. The Regime A upper trajectory does reach the 24M neighbourhood — but a full quarter-century later, in 2080.

    7 · Comparison

    ALTO’s target is the outlier

    The CRI envelope can be placed alongside the other published forecasts for the same corridor. The pattern is unambiguous: every forecast built from a disclosed methodology clusters near the CRI envelope, and ALTO’s public targets stand alone above all of them.

    Table 6. Published and modelled ridership forecasts for the corridor. Not strictly comparable across columns — ALTO’s 2055 figure assumes full-corridor completion well before 2055; the Munk GEPL figures are Toronto–Montréal scaled to a corridor equivalent; C.D. Howe applies sensitivity analysis to VIA’s forecasts; the JPO 2021 figure is for the predecessor HFR 177 km/h spec. The pattern is robust: every disclosed-methodology forecast sits within or close to the upper end of the CRI envelope, and well below the ALTO public targets.
    SourceMethodBy 2050By 2055By ~2080–85
    ALTO public targetsNot disclosed—24M (2055)43M (2084)
    ALTO Corporate PlanTreasury Board filing (incl. Local Services)—17M (2059)—
    McGill TRAMStated-preference survey, n ≈ 8,30010.5M—~19.7M (yr 50)
    Munk School GEPLDisclosed logit with induced demand~16–17M~18–19M—
    C.D. HoweScenario analysis on VIA’s forecasts12–21M——
    Federal JPO 2021Pre-procurement business case (HFR spec)~13.5M——
    Flyvbjerg adjustmentALTO −65% reference class—8.4M (from 24M)15M (from 43M)
    CRI envelopeModal-shift × population × regime1.9 / 6.7 / 14.83.7 / 9.2 / 17.26.1 / 12.5 / 25.7

    The dispersion among the disclosed-methodology forecasts is narrow — TRAM at 10.5M by 2050, Munk GEPL at 16–17M corridor-equivalent, the JPO 2021 at 13.5M, and C.D. Howe’s 12–21M range all sit in the same zone. The CRI central case sits on the conservative side of this cluster; the CRI upper bound sits centrally within it. The dispersion between the cluster and ALTO’s public targets, by contrast, is wide: the 24-million figure is ~40% above the CRI upper bound for that year, more than double the TRAM number, and 14% above the top of the C.D. Howe range. Notably, ALTO’s own Corporate Plan figure of 17M by 2059 — filed with Treasury Board — is ~30% below its public 24M figure and closer to the CRI upper bound; the reconciliation of the two ALTO figures is not publicly disclosed.

    Every forecast for the corridor built from a disclosed methodology — TRAM survey, Munk GEPL logit, federal JPO business case — sits within or close to the CRI envelope. ALTO’s 24-million public target sits 40 per cent above the upper bound at 2055 and is the outlier in the published literature.
    8 · Why the Gap

    Why the CRI envelope sits below the cluster

    The CRI central case sits below the disclosed-methodology cluster, and its upper bound sits centrally within it. This is not a forecasting error in those studies — they were built for different purposes, finalised on different timelines, and applied different assumptions where the modal-shift literature offers latitude. Six factors account for the bulk of the divergence, in roughly descending order of impact.

    1. The 2024 demographic inflection is post-cutoff for every other forecast

    The single largest source. Every published forecast was finalised before the federal NPR caps produced observable effects. The January 2026 StatCan data was not available to any of them. ~15–25% of the gap, before any other consideration.

    2. North-American modal-shift recalibration

    The comparators use European-anchored elasticities. Note 2 recalibrates the rail–car curve against VIA’s ~13% road share, shifting the inflection from τ₀ = 0.65 to 0.46. ~15–25% of the gap, largest on the road-substitutable share.

    3. Explicit phased opening

    The CRI envelope models each phase’s own opening date and ramp; the comparators assume an implicit step-change to maturity. ~30–40% of the gap at the 2050–2055 horizon specifically, converging by 2070–2080.

    4. Group-composition weighting

    Family and 3+ travel essentially cannot be captured by rail at any defensible fare. Most models use an average traveller; the CRI weights across realistic solo/couple/family proportions. ~5–15% of the gap, largest on the car-substitutable share.

    5. Canadian P3 vs European open-access pricing

    Madrid–Barcelona’s gains came from open-access competition (25–50% fare cuts). The Cadence monopoly concession, with Air Canada’s equity stake, eliminates that mechanism. ~10–20% of the gap, largest on the lower-end scenarios.

    6. Bottom-up vs top-down or stated-preference

    ALTO’s targets are top-down (subject to the Flyvbjerg ~65% optimism bias); TRAM is stated-preference (overstates realised behaviour). The CRI is built bottom-up from observed VIA shares. ~5–15% of the gap, operating as a multiplier on the rest.

    Taken together, the six factors are not independent surprises pushing the same way — they are mostly visible to the other forecasts too, but each embedded different assumptions where the literature offers latitude. The CRI envelope’s central case sits below the cluster because it applies all six defensible positions at once; its upper bound, by construction, relaxes the unfavourable end of each while staying internally consistent, and sits centrally within the cluster. By 2080, when the demographic, phasing and ramp factors have all played out, the CRI upper bound of 20.7M sits in the centre of the published cluster’s mature-state range. None of the comparators is wrong; each answers a different question. The CRI envelope answers a sixth: what realised annual ridership is consistent with current empirical evidence, the announced phasing, and the modal-shift literature applied to the Canadian context.

    Download Full Note
    Modal Shift Note 3 — Ridership Envelope Research Note (PDF)
    Reference document with the full framework, all six tables, the four figures, and the complete source list
    Download PDF
    Sources

    Principal sources

    1.
    Statistics Canada (27 January 2026). Population projections for Canada (catalogue 17-20-0003; dashboard 71-607-X-2022015), LG / M1 / HG scenarios. — and the 2024–25 demographic estimates and the federal Immigration Levels Plan (October 2024) cap on non-permanent residents.
    2.
    El-Geneidy, A. et al. — Transportation Research at McGill (TRAM), stated-preference corridor projection (March 2026), n ≈ 8,300. tram.mcgill.ca
    3.
    Munk School Global Economic Policy Lab, University of Toronto — disclosed logit corridor model with induced demand.
    4.
    Jones & Fariha (February 2025). All Aboard. C.D. Howe Institute scenario analysis. cdhowe.org
    5.
    Federal Joint Project Office (2021) pre-procurement business case (HFR 177 km/h specification), released through Access to Information, November 2025.
    6.
    Flyvbjerg, B., Holm, M.S. & Buhl, S. — meta-analysis of rail-project ridership forecast accuracy (mean ~65% overstatement).
    7.
    VIA Rail Canada Annual Report 2023; corridor person-trip volumes and modal shares as developed in Note 2, Table 1. — and Brightline Florida (2024–2026) ridership reports and KBRA bond rating actions; Madrid–Barcelona AVE ramp and open-access pricing record.
    8.
    ALTO public communications (the Imbleau / Fast Forward 24- and 43-million figures) and the ALTO Corporate Plan filed with Treasury Board (17M by 2059, including Local Services).
    9.
    ALTO HSR Citizen Research Initiative companion notes: Note 1 — rail–air substitution and Note 2 — rail–car substitution, which supply the modal-share machinery; and the Modal Shift & Ridership synthesis brief that sets this note alongside Notes 1, 2 and 4.
    ALTO HSR Citizen Research Initiative  ·  citizenresearch.ca  ·  Modal Shift Note 3  ·  May 2026
    Independent, non-partisan research on the proposed Toronto–Quebec City high-speed rail corridor.

  • Modal shift synthesis

    ALTO Ridership Against the Modal-Shift Evidence

    What the published 24-million target implies for how many travellers must abandon air and car for the train — and what the modal-shift evidence, the demographic baseline, and the operating-subsidy frontier say is actually reachable on the corridor.

    ALTO HSR Citizen Research Initiative · Modal Shift & Ridership Brief · Published May 2026
    ⚠ What This Brief Synthesises

    This brief draws together four CRI research notes — on rail–air substitution (Note 1), rail–car substitution (Note 2), the ALTO ridership envelope (Note 3), and the operating-subsidy frontier (Note 4) — into a single test of one number: ALTO’s published target of 24 million annual passengers by 2055.

    Each note is built from the same starting point as the proponent’s own forecasts, but corrected for two things older studies omit: the North-American calibration of modal-shift behaviour, and the 2024 federal cap on non-permanent residents that broke the corridor’s demographic trajectory.

    Headline Finding

    ALTO’s published target of 24 million annual passengers by 2055 sits 2.6× above the CRI central case of 9.2 million, and is incompatible with every other independent forecast for the corridor.

    The gap is not a matter of optimism versus pessimism. Reaching 24M requires a modal share above the ceiling the modal-shift curves allow in a North-American setting; it assumes a population trajectory the federal government’s own immigration policy has already foreclosed; and pushing ridership toward the target through deeply discounted fares drives operating subsidy past $5 billion a year. The target fails three independent feasibility tests at once.

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    Seven slides synthesising the modal-shift S-curves, the price families, the 2055 ridership envelope, and the three-test verdict on the 24-million target
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    The Four Underlying Notes
    The Question

    How many people would actually have to switch?

    A ridership target is, underneath, a claim about behaviour. To carry 24 million passengers a year, the corridor must persuade a very large share of the people now flying or driving between Toronto, Ottawa, Montreal and Quebec City to take the train instead. That share — the modal shift — is the quantity every forecast turns on, and it is the quantity this brief examines first.

    Modal shift is not a free parameter. Decades of evidence from operating high-speed lines show it follows a predictable shape: rail captures most of the market on short, fast journeys and loses it on long ones, with a sharp transition in between. The question for ALTO is not whether modal shift happens — it plainly does — but how high the curve can realistically reach on this corridor, in this country, at the fares the project would have to charge.

    Three forces set that ceiling: the journey-time geometry against air, the harder competition against the car in a North-American setting, and the price the traveller actually faces. The notes treat each in turn before combining them into a ridership envelope and testing the 24-million figure against it.

    Note 1 · Rail vs Air

    Modal shift versus air follows a logistic S-curve

    Against air, rail’s market share is governed almost entirely by station-to-station journey time. The relationship is a logistic S-curve: below about two hours rail dominates, between two and four hours the two modes compete and infrastructure quality is decisive, and beyond about five hours rail share collapses to only the price-sensitive or rail-loyal traveller. The inflection point — where rail and air split the market evenly — sits at roughly 3.5 hours.

    < 2 h
    Rail dominates — near-full capture of the rail+air market
    2–4 h
    Competitive zone — 60–80% rail share, infrastructure decisive
    > 5 h
    Rail share collapses — only price-sensitive or rail-loyal travellers

    This is not theory. The world’s operating high-speed lines trace the same curve, and they are the empirical anchors the note is calibrated against:

    • Paris–Lyon (TGV): rail share rose from 40% to 72% after high-speed service opened.
    • Madrid–Barcelona (AVE): roughly 75% rail share at a 2 h 30 min journey time.
    • Madrid–Seville: rail share rose from 16% to 52%.
    • Beijing–Shanghai: 1,318 km covered in 4 h 18 min, rail-dominant despite the distance.

    For ALTO, the implication is straightforward: the air-substitution share the corridor can win is bounded by where each city-pair sits on this curve. Pairs that fall inside the two-to-four-hour competitive zone can deliver strong rail capture; pairs that fall outside it cannot, regardless of how the target is set.

    Note 2 · Rail vs Car

    Modal shift versus the car is harder in North America

    The car is the larger and more stubborn competitor, and here the North-American context shifts the whole curve against rail. The note re-calibrates the rail-vs-car S-curve on VIA Rail’s observed performance — a rail share of roughly 13% against road — and finds the inflection point moves sharply left: from τ = 0.65 in the European setting to τ = 0.46 in the North-American one, a 19-point shift.

    Why North America shifts the curve

    Toll-free highways run the 401/A20 corridor end to end. Fuel taxes are roughly one-third of European levels. There is no congestion charging anywhere in Canada. And family-car economics are decisive: per-person car cost divides among the occupants, while rail charges per ticket.

    What this does to predicted share

    The same corridor that would capture a healthy rail share in Europe captures materially less here. The gap between the European and North-American readings is the single largest correction separating the CRI work from the older forecasts.

    Carried through to the ALTO city-pairs, the North-American calibration produces predicted rail shares of the rail+car market that sit well below the European equivalents:

    • ALTO Toronto–Ottawa (τ ≈ 0.44): about 51% North-American versus 67% European.
    • ALTO Toronto–Montreal (τ ≈ 0.56): about 41% North-American versus 58% European.
    • HPR on both pairs (τ ≈ 0.65–0.67): about 33% North-American versus 50% European.

    The lesson is that a forecast borrowed from European experience — as the older studies effectively are — systematically overstates how much of the road market the corridor can win. The car does not behave here the way it behaves there.

    Notes 1 & 2 · Price

    Price shifts the whole modal-shift curve

    Journey time fixes the shape of the S-curve; price selects which curve in the family the corridor actually sits on. The relevant variable is the fare-to-comparator price ratio (r) — rail’s price relative to the air fare or the per-person car cost it competes with. A lower ratio lifts the entire curve; a higher ratio depresses it.

    Elasticity differs by mode

    Road–rail substitution is more price-sensitive than air–rail (γ = 1.5 versus 1.0). Travellers deciding between train and car respond more sharply to fare changes than those choosing between train and plane.

    Group travel hurts rail

    Per-person car cost divides among the occupants; rail charges per ticket. A family of four therefore faces an effective price ratio roughly four times higher than a solo traveller — pushing them down the curve toward the car.

    The note maps three fare regimes onto the curve family. Regime A (r ≈ 0.55) is deeply discounted, lifting share but requiring heavy subsidy. Regime B (r ≈ 1.0) sets fares at parity with air. Regime C (r ≈ 1.4) prices above the comparator. Each selects a different curve — and, as Note 4 shows, a different point on the subsidy frontier. The crucial consequence is that the high-share outcomes the 24-million target needs are only available at the discounted end, where the fares no longer cover the cost of carrying the passenger.

    Note 3 · The Ridership Envelope

    The 2055 envelope is 3.7 to 17.2 million

    Combining the modal-shift ceiling with the corridor’s demographics produces a ridership envelope, not a single number. The framework is deliberately transparent: ridership = population × per-capita trips × modal share × ramp-up. Each input is drawn from published data and stated openly.

    9.2M
    CRI central case at 2055, Regime B (fares at parity with air)
    3.7–17.2M
    Full 2055 ridership envelope across regimes and demographic paths
    24M
    ALTO’s published target — 2.6× the central case

    The demographic inputs are post-2024 and this is where the CRI analysis departs most sharply from the others. The corridor population is 14.9 million (2025), residents make about 1.68 intercity trips each, and StatCan’s low / medium / high growth scenarios run at 0.5% / 1.0% / 1.6% per year. Critically, these trajectories reflect the 2024 federal cap on non-permanent residents — a structural break the older forecasts predate.

    Under Regime B, the central reading is 9.2 million in 2055, rising to a central 12.5 million by 2080 within an 8.9–18.3 million envelope. ALTO’s 24-million target sits above the top of the 2055 envelope entirely — not at its optimistic edge, but beyond it.

    Ridership envelope chart for the ALTO corridor, 2030 to 2080, showing upper, central and lower demographic trajectories under Regime B against ALTO's 24-million target
    Regime B ridership envelope, 2030–2080. The central demographic path reaches 9.2M in 2055 and 12.5M in 2080; the ALTO target of 24M (2055) sits above the upper bound of the envelope. Figure from Note 3 — Ridership envelope for the ALTO corridor.
    Note 3 · The Comparison

    The 24M target is the outlier

    Set against the independent literature, the pattern is unambiguous: every other forecast clusters near the CRI central case, and the 24-million target stands alone above all of them. The reason the CRI figure sits lower than the academic studies is not methodological pessimism — it is one correction the others have not made.

    The immigration inflection

    The 2024–25 federal cap on non-permanent residents broke the corridor’s demographic trajectory, lowering the central forecast relative to pre-2024 expectations. Only the CRI analysis incorporates the NPR cap.

    Pre-cap demographics elsewhere

    All the independent forecasts — including the 2025 McGill and C.D. Howe studies — rest on pre-2024 population assumptions. They model a population surge that federal policy has since foreclosed.

    Structural travel decline

    Hybrid work and AI-mediated meetings structurally reduce corridor business travel below the pre-2020 baseline — a head-wind absent from the older forecasts entirely.

    In other words, the daylight between ALTO’s target and the independent consensus is not a disagreement about how good high-speed rail is. It is the difference between forecasts built on a demographic future that is no longer the official plan and a forecast built on the one that is.

    The Verdict

    The 24-million target fails three independent feasibility tests

    Each note tests the target from a different direction. The target does not fail one of them narrowly — it fails all three, and each failure is sufficient on its own.

    1

    Modal-shift framework

    Reaching 24M requires a modal share above the 40 per cent ceiling implied by the North-American-calibrated S-curves in Notes 1 and 2. Even ALTO’s heaviest-subsidy regime, with deeply discounted fares, plateaus near 11–12 million annual riders at the modal-shift ceiling.

    2

    Demographic baseline

    The 2024 federal Immigration Levels Plan capped non-permanent residents, producing a structural break in corridor population growth. Pre-2024 forecasts assumed continued surge; post-2024 trajectories are materially lower. 15–25 per cent of the gap to ALTO is demographic alone.

    3

    Subsidy frontier

    Pushing past Regime A toward 24M requires operating subsidy above $5 billion per year, with full federal cost approaching $7 billion per year under the proponent’s own $75B capex base case — outside any defensible operating-regime choice on the corridor.

    Side by Side

    Three tests, one number

    Read together, the three tests converge from independent premises on the same conclusion. They are not three versions of one argument; they are three different constraints, each of which the target violates.

    Modal-shift ceiling

    Limit:~40% share ceiling (NA-calibrated)

    Reaches:~11–12M even at heaviest subsidy

    vs 24M?Falls short by half

    Demographic baseline

    Limit:Post-2024 NPR cap; 0.5–1.6%/yr growth

    Reaches:9.2M central; 3.7–17.2M envelope

    vs 24M?Above the upper bound

    Subsidy frontier

    Limit:Defensible operating regimes (A–C)

    Reaches:24M needs >$5B/yr operating subsidy

    vs 24M?Outside any defensible regime

    The convergence is the point. A target that merely sat at the optimistic edge of one analysis could be defended as ambition. A target that exceeds the modal-shift ceiling, sits above the demographic envelope, and requires an indefensible operating subsidy is not ambitious — it is, on the evidence of all four notes, 2.6× above what the corridor can carry.

    For the next federal statement

    Three questions to ask

    Where the next federal or proponent statement on ALTO ridership is concerned — whether in a business case, a consultation report, or a public communication — three questions follow directly from the notes.

    1. On modal share: What rail share of the rail+air and rail+car markets does the 24-million target assume on each city-pair, and is that share calibrated on North-American or European travel behaviour?
    2. On demographics: Does the ridership forecast incorporate the 2024 federal cap on non-permanent residents, or does it rest on pre-2024 population assumptions that the cap has since superseded?
    3. On subsidy: At the fare level required to reach the target, what is the projected annual operating subsidy — and how does it compare with the $5 billion-plus the subsidy frontier implies under the proponent’s own capex base case?

    None of these questions presupposes opposition to passenger rail, which is a widely shared public good. Each asks only that the project reconcile its headline number with the same evidence base — modal-shift behaviour, the demographic baseline, and the operating economics — that every other forecast for the corridor is built on.

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    ALTO Ridership Against the Modal-Shift Evidence (PDF)
    Reference deck for federal decision-makers, parliamentarians, journalists, and residents along the corridor
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    Where Things Stand

    Two numbers, one of them public

    As of May 2026, ALTO’s public ridership figure is 24 million annual passengers by 2055. The independent evidence base — modal-shift behaviour calibrated to North America, a demographic baseline corrected for the 2024 immigration cap, and an operating-subsidy frontier built from the proponent’s own cost figures — places the corridor’s central case at 9.2 million. The two numbers are not a matter of optimism versus caution. The lower one incorporates evidence the higher one omits, and only the higher one has been put to the public.

    Sources

    Underlying notes and references

    1.
    Note 1 — Modal shift between high-speed rail and air on the ALTO corridor. ALTO HSR Citizen Research Initiative. Source of the logistic rail–air S-curve, the 3.5-hour inflection, the short-haul / competitive-zone / long-haul thresholds, and the Paris–Lyon, Madrid–Barcelona, Madrid–Seville and Beijing–Shanghai empirical anchors.
    2.
    Note 2 — Modal shift between rail and car on the ALTO corridor. ALTO HSR Citizen Research Initiative. Source of the North-American-calibrated rail–car S-curve anchored on VIA Rail’s ~13% road share, the inflection shift from τ = 0.65 (EU) to τ = 0.46 (NA), and the predicted rail shares for the Toronto–Ottawa, Toronto–Montreal and HPR city-pairs.
    3.
    Note 3 — Ridership envelope for the ALTO corridor, 2035–2080. ALTO HSR Citizen Research Initiative. Source of the ridership framework (population × per-capita trips × modal share × ramp-up), the post-2024 demographic inputs reflecting the federal NPR cap, the 9.2M central case, and the 3.7–17.2M envelope.
    4.
    Note 4 — Operating-subsidy frontier for the ALTO corridor. ALTO HSR Citizen Research Initiative. Source of the Regime A/B/C fare mapping, the subsidy frontier corrected to be operating-cost-consistent, and the >$5B/yr operating subsidy (~$7B/yr full federal cost) implied by pushing ridership toward 24M under the $75B capex base case.
    5.
    El-Geneidy, A., et al. Transportation Research at McGill (TRAM), McGill University (2025). Independent corridor ridership forecast built on pre-2024 population assumptions. tram.mcgill.ca
    6.
    C.D. Howe Institute (2025). Independent assessment of the high-speed rail corridor, using pre-2024 demographic inputs. cdhowe.org
    7.
    Statistics Canada — population projections (low-growth / medium / high-growth scenarios) and the corridor population base; and the 2024 Immigration Levels Plan establishing the cap on non-permanent residents. statcan.gc.ca
    8.
    ALTO HSR Citizen Research Initiative companion briefs: Reading the Answer (cost, ridership and subsidy claims) and The Report That Vanished. This brief is intended to be read alongside them.
    ALTO HSR Citizen Research Initiative  ·  citizenresearch.ca  ·  Modal Shift & Ridership Brief  ·  May 2026
    Independent, non-partisan research on the proposed Toronto–Quebec City high-speed rail corridor.