Tag: transport economics

  • Estimated not simulated

    Estimated, Not Simulated

    The journey times behind ALTO were drawn from a spreadsheet of international averages — not from a model of the actual corridor. What that distinction means, and who set the target.

    Critical Finding

    A government record released under the Access to Information Act shows that, of the journey times prepared for the project, only the slowest case was produced by an actual simulation of the railway. That case was a 110 mph (177 km/h) train — a roughly four-hour Toronto–Montréal trip. Every faster time, including those near the speeds ALTO now markets, came from a spreadsheet that applied average speeds borrowed from intercity railways in other countries.

    The technical memorandum describes those faster figures, in its own words, as “for information and comparison purposes.” And the email chain attached to it records the most senior Transport Canada official on the file directing that the times not assume Toronto speeds above 160 mph (257 km/h), because a higher figure was “not the intent of the Government.” The journey time, in other words, was managed as a policy and cost target — not derived as an engineering result.

    The Record

    What the document is

    The release (A-2025-00333) was obtained under the Access to Information Act and provided to the Initiative. It consists of an email chain dated August 30 to September 4, 2023 among Transport Canada and Via HFR / Via TGF officials and their technical advisers, together with the attached memorandum “VIA HFR-TGF Journey Times.” It dates from the procurement period, when the project was still a high-frequency rail (HFR) programme under Transport Canada’s lead, before the February 2025 announcement re-scoped it as high-speed rail at 300 km/h.

    The memorandum is the engineering note that sits beneath the project’s headline travel times. It is explicit about how those times were calculated — and it used two very different methods for two different parts of the answer.

    The Distinction That Matters

    Two ways to get a journey time

    A train’s journey time is the single number a project like this is sold on — “Toronto to Montréal in X hours.” There are two fundamentally different ways to produce that number, and they are not equally reliable.

    A simulation builds a digital twin of the real railway and “drives” a train along it. The software knows the actual track: every curve that forces the train to slow, every hill, every station stop, where the signals are, how fast the specific train accelerates and brakes, and whether other trains — including freight — are in the way. It runs the trip second by second on that line and reports how long it genuinely takes. The memorandum names the tool used for this: RailSys, drawing on the JPO’s 2021 Rail Operational Summary Report. It is the railway equivalent of a flight simulator, or of a mapping app with live traffic.

    A spreadsheet estimate does something far cruder: it takes the distance, assumes an average speed borrowed from how fast trains run in other countries, and divides one by the other. It never looks at this corridor’s actual geometry, terrain, urban approaches, or shared freight track. The memorandum is candid that its faster figures are of this kind — an “estimated calculation based on the maximum permissible speed,” provided “for information and comparison purposes.”

    Simulation — the RailSys toolSpreadsheet estimate
    Drives the actual route. Models every curve, gradient, station stop, signal and conflicting train on the real Toronto–Québec line, second by second. Distance ÷ an assumed average speed. Takes the route length and an average operating speed benchmarked to comparable intercity rail abroad, and divides.
    Knows the corridor. A curve too tight for high speed shows up as a slower section; a freight train ahead shows up as lost minutes. Constraints surface before construction, not after. Blind to the corridor. Cannot see this line’s curves, hills, city approaches or freight sharing. The memorandum labels its outputs indicative only.
    What ALTO simulated. Only the 110 mph (177 km/h) base case — roughly a four-hour Toronto–Montréal trip. What ALTO estimated. Every faster time, including the 160 and 186 mph figures (257 and 300 km/h) closest to the marketed speeds.

    The difference is the difference between “we modelled it and it works” and “we estimated it from comparables.” The first is a tested result for this railway. The second is an educated guess that a later, detailed study would have to confirm.

    What Was Actually Run

    The only simulated number is the slow one

    ~4 hrs
    the only Toronto–Montréal time actually simulated (110 mph / 177 km/h base case)
    RailSys, per the memorandum
    Spreadsheet
    the source of every faster journey time on the page
    benchmarked to foreign averages
    160 mph
    (257 km/h) — the speed ceiling set as “the intent of the Government”
    TC official, Aug–Sept 2023

    The memorandum’s own tables make the gap plain. The single time it produced by simulation — the 110 mph (177 km/h) base case — is roughly 3:59 to 4:19 for Toronto–Montréal. The faster times on the same page, for a 186 mph (300 km/h) or 160 mph (257 km/h) train, run from about 2:40 to 3:10. But those faster figures are the spreadsheet ones. The four-hour trip is the only number anyone actually drove through the model. The under-three-hour trips that make high-speed rail attractive were never simulated for this corridor.

    This matters because the public ALTO project is now built on 300 km/h (186 mph) running. Even the “calculated” 186 mph (300 km/h) times in this 2023 record trace back to the spreadsheet, not the simulator — and the simulator was only ever pointed at the slow case.

    A second problem: not the door-to-door time

    There is a second issue with these numbers, separate from how they were produced. Every figure here — simulated or estimated — is a train-in-motion time, measured platform to platform. It is not the door-to-door time that decides whether a traveller picks rail over flying, and door-to-door time depends on something ALTO has not settled: where the stations are. With downtown stations at both ends the corridor is competitive; with the suburban or peri-urban stations most consistent with the project’s cost structure, the advantage over air narrows or disappears. A separate academic submission to the consultation went further, noting that ALTO’s published times do not appear to even include the time for a stop in Ottawa — so the in-motion figures may be understated before the door-to-door question is reached. We treat that in full in The Station Location Problem and The Last Mile; the point here is narrower — the headline time is an estimate, and even taken at face value it is not the number that matters.

    Who Set the Target

    The journey time as a government decision

    The instruction to hold the journey times down did not come from a technician. The email chain records that when a Toronto figure was put forward assuming sustained speeds above 160 mph (257 km/h), a Transport Canada official objected that it “assumes a full journey time from Toronto at speed greater than 160, which is not the intent of the Government,” and explained that the intent was to have bidders identify the segments with the lowest marginal cost for higher speed. The exchange closes on September 4, 2023 with the project director’s note: “No change to journey time agreed by Vincent.”

    That official is Vincent Robitaille. According to Transport Canada’s own published biography, Robitaille has served as Assistant Deputy Minister – High Frequency Rail since December 2021 — the month the project’s governance passed to a Transport Canada–led integrated team — and he leads that team. His background before the role was in commercial policy and financing, not rail engineering: from 2018 to 2021 he was Director General of Transport Canada’s Centre of Excellence on Strategic Investments, working on the commercial elements and alternative financing of major transportation investments, and before that he led the public-private-partnership procurement of the new Champlain Bridge Corridor in Montréal. His credentials are financial and project-management designations (CFA, PMP, Certified Director, and an MBA). Transport Canada

    Why the background is relevant, not incidental

    This is an observation of record, not of motive. The person defining the journey-time ceiling as the Government’s intent — and steering bidders toward “the lowest marginal cost” rather than the fastest trip — is the project’s most senior Transport Canada official, whose professional expertise is procurement and project financing. It is consistent with a journey time being treated as a commercial and cost target to be managed, rather than an engineering output to be measured. The released record shows the target being set; it does not require any inference about why.

    Two Years Later

    The same official, now selling the fast times

    In a public podcast interview in December 2025, Robitaille — by then leading the project for Transport Canada — described the corridor to a general audience in precisely the terms the 2023 record could not support with simulation: Montréal reachable in well under current rail times, a city you could reach for a day trip and return the same evening, trains “every half an hour,” the corridor as “commuting distance.” Those are the fast, frequent-service figures — the ones drawn from the spreadsheet.

    The internal record from 2023 shows the same official holding the specification below those speeds — directing that journey times not assume sustained running above 160 mph (257 km/h), because faster was “not the intent of the Government” — and relying on benchmarked estimates for anything quicker. The public pitch and the internal caution are two years apart and point in opposite directions. The travel times now used to sell the project are of the kind the same official described internally, in 2023, as indicative.

    The Bottom Line

    A promise, or an estimate?

    When a government tells the public “this train will get you there in X hours,” people reasonably assume engineers modelled the actual route and confirmed it. This record shows that, for the fast times, they did not. They did the back-of-an-envelope version — distance against speeds observed in other countries — and said so internally. A spreadsheet estimate is a hope; a simulation is the closest thing to a tested promise. The faster ALTO travels in its marketing, the further it gets from the only journey time anyone actually ran.

    One caveat, stated plainly so the point is not overdrawn. The memorandum does say these estimates were always meant to be refined through later design and operational modelling by the eventual private partner. So the fair claim is not that the numbers were invented. It is that the detailed validation was deferred, and that as of this 2023 record the project’s faster journey times — including those near what is marketed today — had no corridor-specific engineering behind them, only benchmarked estimates. No simulation of high-speed running on the Toronto–Québec line appears anywhere in the released record.

    Sources

    Primary documents

    1.
    Transport Canada / Via HFR (Via TGF), “VIA HFR-TGF Journey Times” (HFR JT note 20230831) and accompanying email chain, August 30 – September 4, 2023. Released under the Access to Information Act as file A-2025-00333.
    2.
    Joint Project Office, Phase 2C Rail Operational Summary Report (2021) — the RailSys simulation source referenced in the memorandum for the 110 mph (177 km/h) base case.
    3.
    Transport Canada, Briefing Documents 2025, biography: “Vincent Robitaille — Assistant Deputy Minister – High Frequency Rail.” tc.canada.ca
    4.
    “From Bridges to Trains: Career lessons with Vincent Robitaille,” The Supply Chain Ambassador podcast, premiered December 3, 2025. Public interview; transcript auto-generated. youtube.com
  • 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.

    ⚠ 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
  • 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.

    ⚠ 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.

    Download
    ALTO Ridership Against the Modal-Shift Evidence — Full Slide Deck (PDF)
    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
    Download Deck
    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.
  • Modal shift HSR car

    Citizen Research Initiative · Modal Shift Analysis · Note 2

    Modal Shift Between Rail and Car on the ALTO Corridor

    The car competes with rail at every distance, costs are weighed on fuel rather than full economics, and a full car of four tilts the comparison decisively toward driving. Why North American road–rail substitution is structurally harder — and how much of it ALTO’s speed actually buys.

    ⚠ What This Note Examines

    This note applies the evidence on rail–car substitution to the two principal corridor pairs — Toronto–Ottawa and Toronto–Montréal — in the North American context, comparing current VIA Rail, a High Performance Rail (HPR) alternative at 200 km/h, and ALTO at 300+ km/h.

    The road–rail comparison differs structurally from the rail–air analysis in Note 1: the car carries no fixed access penalty, perceived driving cost is dominated by fuel rather than full lifecycle cost, group travel decisively favours the car, and modal choice is more responsive to price than to time.

    Summary

    The right competitive variable is not absolute rail time but the ratio τ of rail time to car drive time: τ = 0.5 means rail takes half as long as driving, τ = 1.0 means equal time. Because car drive time scales with distance, the same τ implies the same competitive geometry on any route length.

    The corridor’s road-substitutable demand is far larger than its air-substitutable demand — highway flow on the 401 between Toronto, Kingston, Ottawa and Montréal is several times the corridor’s annual air person-trips. Three structural features make North-American competition harder than European comparators: the 401/A20 is toll-free end-to-end, there is no congestion charging anywhere in Canada, and per-person car cost divides among occupants while rail charges per ticket. A family of four faces a per-person rail-to-car price ratio four times higher than a solo traveller.

    Under canonical conditions — solo traveller, current Canadian gas prices, near-parity pricing — on a North-American–calibrated curve anchored on VIA’s ~13% rail share, the model predicts ALTO captures about 51% of the rail+car market on Toronto–Ottawa and 41% on Toronto–Montréal; HPR captures about 33% on both. European-equivalent upper bounds — readings that would apply only if North American transport policy shifted toward European fuel taxes, tolls and station-area land use — are 67% and 58% for ALTO and around 50% for HPR.

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    The full 26-page note with all eleven figures, the European and North-American calibrations, the group-size and gas-price levers, the reliability analysis, and the methodology and sources
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    1 · Travel Time

    The competitive zone for road

    The literature on rail–car substitution differs sharply from the rail–air literature. The car carries no fixed time penalty equivalent to airport access, security and downtown-airport transit; parked at origin and arriving at destination, it has near-zero access cost on both ends, and its line-haul time degrades only slightly across the 100–1,000 km range. The result is that car competes against rail at every distance — including short-haul corridors where rail would dominate the air comparison.

    The right measure is therefore not absolute rail journey time but the ratio of rail time to car time. Defining τ = (rail time) ÷ (car drive time at 100 km/h) gives a distance-invariant measure of rail’s advantage: τ = 0.5 means rail takes half as long as driving; τ = 1.0 means equal time; τ > 1.0 means rail is slower. A 3-hour rail journey on a 540 km route (τ = 0.56) is competitively equivalent to a 1.5-hour journey on a 270 km route. This is the key structural difference from the rail-vs-air analysis, where rail’s fixed advantage at the access stage means absolute time is what matters.

    Road-rail modal-shift S-curve plotting rail share of the rail+car market against the time ratio tau, European calibration
    Figure 1. Modal-shift S-curve for rail–car substitution, plotting rail’s predicted share of the combined rail+car market against the time ratio τ = (rail journey time) ÷ (car drive time at 100 km/h). Logistic curve fitted with inflection at τ = 0.65 (rail captures 50% at price parity when ~35% faster than driving). Three zones: rail decisively faster (τ < 0.5); the competitive zone (0.5 < τ < 1.0); and rail slower than driving (τ > 1.0). Calibrated against the TGV Paris–Lyon pre/post comparison.

    The European calibration in Figure 1 represents what rail can achieve under conditions that favour modal shift — high fuel taxes, congestion charging, dense feeder transit, central stations, and a cultural baseline of rail use. North American conditions are systematically less favourable, and the same τ produces lower rail shares.

    North-American-calibrated S-curve anchored on current VIA Rail's 13% rail share, with the European curve shown for comparison
    Figure 1b. North-American–calibrated S-curve, anchored on current VIA Rail service (~13% rail share of the rail+car market at τ ≈ 1.0). The faded grey dashed curve is the European calibration from Figure 1. Inflection shifts left from τ = 0.65 to τ = 0.46: under North American conditions, rail must be ~54% faster than driving — rather than 35% — to capture half the market at parity. Equivalent to a constant utility penalty α ≈ 0.67 reflecting toll-free highways, low fuel taxes, free parking, dispersed land use, weak feeder transit, and a cultural autonomy preference.

    Read together, Figures 1 and 1b bracket the realistic range. The European curve represents what is achievable in principle if rail-favourable conditions were created; the NA curve gives what is achievable under prevailing structural conditions. The remainder of this note uses the NA calibration, with European-equivalent figures quoted alongside where the comparison is informative. The gap between them is policy-relevant: roughly 10 to 15 percentage points of modal share depend not on which infrastructure is built but on whether the broader transport-policy environment supports modal shift.

    Empirical anchors and the North American context

    The Paris–Lyon TGV cut journey time from ~4 hours to under 2 and lifted rail’s share against road from ~30% to ~67% — a 37-point shift. Madrid–Barcelona AVE and Tokyo–Osaka Shinkansen deliver comparable shares against parallel highways. But all operate under conditions the corridor does not share. North America carries none of these reinforcements: the 401/A20 is toll-free end-to-end, Canadian fuel taxes are roughly one-third of European levels, there is no congestion charging in any Canadian city, and land use at both ends is car-oriented. The cross-elasticity literature confirms rail and car barely substitute — a 10% rise in fuel prices produces only a 1 to 4% rise in transit ridership.

    Rail’s competitive position against the car turns on the time ratio τ, not absolute journey time. The North American absence of tolls, congestion charges, and high fuel taxes means realised modal share will likely sit substantially below the European-anchored model’s predictions.
    2 · Price

    Elasticity, group size, and perceived cost

    The road–rail price comparison differs from rail–air in three ways: the elasticity of substitution is higher, the per-person ratio depends decisively on group size, and the cost of driving travellers actually weigh is the perceived cost (mostly fuel), not the full economic cost. The same logit form applies, but with a larger price coefficient (γ = 1.5 against 1.0 for rail–air), reflecting own-price elasticities of −1.0 to −1.6 for leisure demand against −0.4 to −0.7 for business.

    European price family

    Figure 2a shows the curve family at six price ratios under the European calibration. The wide range (0.5 to 8.0) reflects that group travel can drive the per-person ratio well above 5 even at parity-pricing intentions, since car cost divides among occupants while rail fare does not.

    North American price family

    Figure 2b applies the same six ratios under the NA calibration (τ₀ = 0.46). Each curve sits 15 to 20 points below its European counterpart at every τ. This family drives the corridor predictions in the rest of the note.

    Family of road-rail S-curves at six rail-to-car price ratios, European calibration
    Figure 2a. Family of road–rail S-curves at six rail-to-car-per-person price ratios (r = rail fare ÷ car cost per person), European calibration. The middle navy curve at r = 1.0 is price parity. The family spans 0.5 to 8.0, reflecting that group travel can push the per-person ratio well above 5.
    Family of road-rail S-curves at six price ratios, North American calibration
    Figure 2b. The same six ratios under the North American calibration (τ₀ = 0.46). Each curve sits 15 to 20 points below its European counterpart. This family is used throughout the rest of the note.

    Perceived versus full cost of driving

    Drivers compare rail fare against the perceived cost of driving, not the full economic cost. On Toronto–Montréal, one-way fuel for a typical car (9.4 L/100 km at ~$1.65/L) is about $84; the full economic cost — depreciation, insurance, maintenance — is more than three times that, around $300. But fixed costs are not perceived at the moment of choice; the car is owned regardless. A VIA Economy fare of ~$80 against perceived car cost of $84 produces a price ratio near 1.0 for a solo traveller. Against full cost the same fare would imply a ratio of 0.27 — and would predict a far larger rail share than the corridor actually carries, the empirical tell that perceived cost is the right input.

    The group-size effect

    Cars carry one to four passengers at a single fuel cost; rail charges per ticket. The per-person rail-to-car ratio is therefore ~1.0 for a solo traveller, 1.9 for a couple, 2.9 for three, and 3.8 for a full car of four. Family travel and any leisure trip with two or more travellers structurally favours the car — a multiplier with no analogue in the rail–air comparison. At parity pricing, ALTO’s Toronto–Ottawa share drops from ~51% solo to ~12% for a family of four; on Toronto–Montréal from 41% to 8%.

    Gas price as a modal-shift lever

    Because perceived car cost is dominated by fuel, the price ratio is sensitive to gas prices in a way the air comparison is not. A swing from $1.30 to $2.00/L — well within historic range — moves the solo Toronto–Montréal ratio from 1.21 to 0.79. Carbon pricing and fuel-tax policy are levers on rail modal share that operate as strongly as line-haul speed, at much lower capital cost.

    Group-size effects can suppress predicted rail share by 75 to 90 per cent; gas-price swings can move it by 10 to 20 percentage points. These dimensions matter as much as infrastructure choice.
    3 · Travel Time on the Corridor

    Where the corridor sits on the curve

    The same two principal pairs carry the bulk of rail-substitutable demand, but the absolute road flow is very large. The 401 between Toronto, Kingston, Ottawa and Montréal carries tens of millions of person-trips a year — several times the corridor’s air person-trips. Even a small percentage shift represents a meaningful absolute volume.

    Table 1. Approximate annual person-trip volumes (both directions) by mode on each principal pair, and resulting current modal shares. Order-of-magnitude estimates (±25% air/rail, ±30% car). Bus volumes excluded for clarity.
    City pairAirRail (VIA)CarRail share of rail+airRail share of rail+car
    Toronto–Montréal~1.9 M~800 K~6 M~30%~13%
    Toronto–Ottawa~0.9 M~800 K~4.5 M~47%~14%
    Ottawa–Montréal~0.45 M~525 K~4 M~54%~12%

    Three observations follow. The road-substitutable market dwarfs the air-substitutable market on every pair — car volumes are three to ten times rail+air combined. Current rail-vs-air shares are already meaningful (~30% on Toronto–Montréal, ~half on the shorter pairs), but rail-vs-car shares sit in the 12 to 14% range across all three. And the structural similarity of road–rail shares despite very different distances confirms the τ-normalisation: current VIA service produces τ values close to 1.0 on every pair.

    Table 2. Approximate segment-level travel times for car (driving on 401/A20, no congestion) alongside rail under three scenarios. *Toronto–Montréal under current VIA runs 5 h 13 min on the 538 km direct routing; the parallel car drive is ~5 h 30 min.
    City pairDistanceCar (401)VIA currentHPR (200 km/h)ALTO (300+ km/h)
    Toronto–Ottawa~450 km~4 h 30 min~4 h 30 min~2 h 55 min~2 h
    Toronto–Montréal~540 km~5 h 30 min5 h 13 min*~3 h 38 min~3 h
    Ottawa–Montréal~190 km~2 h~1 h 55 min~1 h 30 min~1 h
    Modal-shift progression for Toronto-Montreal under VIA, HPR and ALTO at solo, near-parity pricing on the NA-calibrated curve
    Figure 3. Modal-shift progression for Toronto–Montréal under the three rail scenarios, plotted on the North-American–calibrated S-curve at solo traveller and near-parity pricing. Predicted rail share of the rail+car market rises from ~15% under VIA, to 32% under HPR, to 41% under ALTO — a total gain of ~27 points, of which 17 points (about two-thirds) are captured by the HPR step alone.
    Table 3. Predicted rail share of the combined rail+car market on each principal pair under each scenario (NA calibration, near-parity, solo, current gas, current VIA-equivalent fares). The VIA shares match the Table 1 anchors, validating the calibration. HPR/ALTO values are order-of-magnitude estimates.
    City pairVIA currentHPR (200 km/h)ALTO (300+ km/h)
    Toronto–Ottawa~13%~34%~51%
    Toronto–Montréal~15%~32%~41%

    These are the time-only readings under the most favourable price configuration. Real corridor traffic is a mix of solo, couple and family travel, with fares that may rise above current VIA levels if HPR or ALTO recover more capital from passengers. Section 4 produces a more realistic envelope.

    4 · Price and Group Size on the Corridor

    Where the corridor sits on the price axis

    Figure 3 plotted the scenarios at price parity — the most favourable assumption for rail. But HPR and ALTO carry higher capital and operating costs than VIA’s shared-track service, and any realistic operating model recovers part of that from passengers. International HSR and the Brightline comparator place premium fares 30 to 80% above conventional rail. This analysis takes a moderate set: HPR at ~20% premium (r = 1.2), ALTO at ~50% premium (r = 1.5).

    Modal-shift progression for Toronto-Montreal with realistic fare premiums applied: VIA r=1.0, HPR r=1.2, ALTO r=1.5
    Figure 4. Toronto–Montréal under realistic scenario-specific fare premiums — VIA at r = 1.0, HPR at ~20% premium (r = 1.2), ALTO at ~50% premium (r = 1.5). Predicted shares: VIA 15%, HPR 26%, ALTO 28%. The total VIA → ALTO gain collapses from +27 points at parity to +13 points, with the HPR step doing essentially all the work (+12 pts) and the ALTO step adding only +1 to +2.

    Three observations follow. First, ALTO’s modal-share advantage over HPR — already modest at parity (+9 points on Toronto–Montréal) — essentially disappears once realistic fare premiums are applied, the two converging to within a point of each other. Second, this is robust: sensitivity at ALTO premiums between 30 and 80% produces ALTO shares between 30 and 24%, all within a few points of the HPR 26% reading. Third, the HPR step from current VIA to a dedicated 200 km/h corridor at VIA-equivalent fares captures essentially all of the realistically achievable road–rail modal shift; ALTO’s 300+ km/h capability is real but largely cancelled by the fare premium needed to fund it.

    Modal share as a function of per-person rail-to-car price ratio for each scenario on both Toronto pairs
    Figure 5. Modal share as a function of per-person rail-to-car price ratio, travel time held fixed. Reference operating points combine the solo/current-gas baseline with the realistic premiums: VIA at r = 2.4, HPR at r = 2.8, ALTO at r = 3.6. Predicted shares: VIA ~4% on both pairs; HPR ~10% (Toronto–Ottawa) and ~9% (Toronto–Montréal); ALTO ~13% and ~9%. Share falls steeply as the ratio rises, reflecting the higher price coefficient.
    Modal share as a function of group size from 1 to 4 passengers per car for each scenario
    Figure 6. Modal share against group size (1 to 4 passengers per car), each scenario scaling linearly from its base ratio. Toronto–Ottawa solo shares of 4% (VIA), 10% (HPR), 13% (ALTO) fall to ~1% across all three for a family of four; Toronto–Montréal similarly. The HPR and ALTO lines converge rapidly — a couple essentially eliminates the ALTO advantage.

    The rail-substitutable portion of corridor road traffic is concentrated on solo travellers paying single-person fares against per-person fuel costs. A second passenger halves rail share again; a car of three or four cannot be captured at any travel time or defensible fare. This narrows the realistic market to a small fraction of total road flow — predominantly business, single-traveller leisure, and downtown-to-downtown trips.

    Modal share as a function of gas price from $1.00 to $2.50 per litre for each scenario
    Figure 7. Modal share against gas price ($/L) at solo travel, anchored at the current ~$1.65/L (VIA r = 2.4, HPR r = 2.8, ALTO r = 3.6). A swing from $1.00 to $2.50 roughly triples rail share for each scenario, but absolute levels remain modest. HPR and ALTO converge almost exactly on Toronto–Montréal at all gas prices — fare premiums largely cancel ALTO’s speed advantage.

    Two policy implications follow. The corridor’s modal-shift outcomes are not solely a function of which infrastructure is chosen — they also depend on fuel pricing, carbon pricing and the broader transport-policy environment. And the comparative performance of HPR and ALTO is roughly stable across the gas-price range, so the scenario comparison is robust to fuel-price assumptions even if the absolute levels are not.

    5 · Reliability

    On-time performance and reliability

    Reliability operates as an effective time penalty whenever on-time performance (OTP) drops below a threshold travellers can rely on. Unreliable service makes travellers take an earlier departure than schedule alone requires, inflating their effective journey time by the buffer they carry. The model adds a utility term δ·(OTP_ref − OTP), with δ = 2.0 (the Wardman midpoint) and OTP_ref = 0.85 (VIA’s 2023 reported figure).

    Rail share of the rail+car market as on-time performance varies from 95% down to 50% for both Toronto pairs
    Figure 8. Rail share of the rail+car market for VIA Toronto–Ottawa and Toronto–Montréal as OTP varies from a 95% dedicated-track target down to a 50% stress-test floor. Reference points: dedicated-track target (95%), current VIA (85%), VIA’s 2021 figure (~67%, during heavy freight conflict), and a 50% stress test. As OTP erodes from 95 to 50%, Toronto–Ottawa share roughly halves (15.4% to 6.9%); Toronto–Montréal falls 17.2% to 7.8%.

    Three points follow. OTP is a meaningful but not dominant lever — its dynamic range across the observed band is about ±5 points, comparable to a $0.50/L fuel swing or a solo-to-couple shift. OTP and price are partial substitutes: a 10-point OTP improvement is worth roughly a 14% fare cut, which is why Brightline advertises 92% OTP precisely to support a fare premium. And crucially, the OTP gain inheres in the dedicated-track step, not the speed step — both HPR and ALTO eliminate the freight-train conflicts on shared CN track that cause VIA’s reliability problems, so OTP is not a differentiator between them.

    OTP erosion from 95 to 50 per cent halves VIA’s predicted rail share. The reliability gap between shared-track service and a dedicated alternative is real, but it is captured equally by HPR and ALTO — the speed step adds nothing to reliability.
    6 · Where the Returns Sit

    Where the modal-shift returns sit on the curve

    Because the curve is logistic, the value of additional time savings depends on where a route starts. On Toronto–Ottawa under the NA calibration, moving from VIA (τ = 1.00, ~13%) to HPR (τ = 0.65, ~34%) approaches the inflection and delivers the largest single increment; the move to ALTO (τ = 0.44, ~51%) adds another as the curve crosses its inflection. On Toronto–Montréal, the moves go from VIA at ~15% to HPR at ~32% to ALTO at ~41%.

    Decomposition of road-rail modal-shift gain by investment step: VIA to HPR versus HPR to ALTO on each pair
    Figure 9. Decomposition of road–rail modal-shift gain by investment step (solo, near-parity, NA calibration). Gold bars show the gain from VIA to HPR; terracotta bars the additional gain from HPR to ALTO. The HPR step adds 21 points on Toronto–Ottawa and 17 on Toronto–Montréal; the ALTO step adds 17 and 9. Under the European calibration the comparable figures would be 27/23 (HPR) and 17/10 (ALTO).
    17–21
    Percentage points captured by the VIA → HPR step (NA, near-parity)
    9–17
    Additional points from HPR → ALTO — shrinking under realistic premiums
    $2.5–8B
    Incremental capital cost per percentage point of ALTO-only road–rail shift

    The cost-effectiveness comparison is more challenging for ALTO than for HPR. ALTO’s $60–90 billion envelope is an incremental investment of $40–70 billion above the HPR option. Spread across the additional 9 to 17 points ALTO captures over HPR at canonical NA conditions, that works out to roughly $2.5 billion to $8 billion per percentage point — with the important caveat that road–rail shift, in absolute trip volumes, represents a much larger total person-trip diversion than the air–rail equivalent.

    The corridor’s road traffic is several times its air traffic, and even an NA-realistic 30 to 50 per cent rail share of rail+car represents a larger absolute volume than full capture of the rail+air market.
    7 · Implications

    What this means for the corridor decision

    Six conclusions follow from putting the road–rail evidence alongside the air–rail analysis.

    Structurally different from rail-vs-air

    The car competes at all distances; the competitive zone is narrower (1.5 to 3 hours); perceived cost is dominated by fuel; group travel tilts decisively toward driving; cross-elasticities are remarkably low; and structural North American conditions all suppress rail’s position relative to European comparators.

    The road prize is bigger

    Despite the headwinds, road-substitutable demand is far larger in absolute terms than air-substitutable demand. Even modest rail shares translate to large absolute diversions — between 1.4 and 3 million additional rail trips a year on the principal pairs. The road prize is bigger; it is just structurally harder to capture.

    Policy levers rival infrastructure

    Group size and fuel pricing are levers as substantial as the HPR/ALTO choice. Family travel suppresses rail share by ~75%; sustained higher fuel prices lift it by 15 to 30 points. Carbon pricing, fuel tax, congestion charging and parking pricing operate at much lower capital cost.

    Reliability is a dedicated-track gain

    OTP is substantial but bounded, and the gap between shared-track and dedicated service is captured by the move from VIA to either HPR or ALTO. The OTP step is inherent in the dedicated-track decision, not the speed decision.

    Sixth, this is the regime in which the High Performance Rail framework is most defensible on modal-shift grounds. The HPR step from VIA’s shared-track service to a dedicated, electrified 200 km/h corridor at VIA-style fares captures the majority of the road–rail opportunity on both pairs — adding 21 points on Toronto–Ottawa and 17 on Toronto–Montréal. ALTO’s additional speed adds 9 to 17 points at solo, near-parity conditions, but those points cost $40–70 billion above HPR, and under realistic group-mix and price assumptions the incremental advantage shrinks further.

    Taken together with the parallel rail–air analysis, the corridor decision turns on whether the right framework is being used. Modal-shift performance is multi-dimensional — time, price, group size, fuel cost, traveller type, structural context — and the headline time-only advantage that motivates ALTO’s case shrinks substantially once these dimensions are admitted. The High Performance Rail framework delivers the bulk of the corridor’s achievable modal-shift outcomes — on both the air market and the road market — at roughly a quarter of ALTO’s capital cost.

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    Modal Shift Note 2 — Road–Rail Research Note (PDF)
    Reference document with the full methodology, both calibrations, sensitivity analysis, and the complete source list
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    Methodology

    Modelling approach

    The S-curve is a standard logistic of the form S(τ) = 1 / (1 + exp(K·(τ − τ₀))), where S(τ) is rail’s share of the combined rail+car market as a function of the time ratio τ = (rail time) ÷ (car drive time at 100 km/h). The τ-normalisation is a meaningful departure from the absolute-time framing of the rail–air analysis: because the car comparator scales with distance, τ gives a distance-invariant measure of rail’s competitive position. Parameters are K = 3.5 and τ₀ = 0.65 (European). The price family adds a utility term: S(τ, r) = 1 / (1 + exp(K·(τ − τ₀) + γ·ln r)), with γ = 1.5 — larger than the rail–air γ = 1.0, reflecting higher own-price elasticities for car-vs-rail substitution. For group travel, r_effective = r_solo × n.

    Two calibrations are presented. The European calibration (τ₀ = 0.65) is fitted to the TGV Paris–Lyon pre/post comparison. The North American calibration (τ₀ = 0.46) is anchored on current VIA’s ~13% rail share at τ ≈ 1.0; the two differ only in τ₀, the shift equivalent to a constant penalty α ≈ 0.67. The parameters are illustrative rather than predictive; sensitivity at K between 2.5 and 4.5, τ₀ between 0.40 and 0.75, and γ between 1.2 and 1.8 produces the same qualitative conclusions. An important caveat: the binary-logit model captures time-and-price geometry but not the structural North American factors — free parking, dispersed land use, weak feeder transit, family-travel norms, cultural autonomy preference — that suppress rail share. Model predictions should be read as upper bounds; realised share is likely 30 to 50% below them. Brightline Miami–Orlando, the closest North American analogue, is in extended ramp-up with bond ratings downgraded to CCC+, indirect confirmation that achievable shares emerge slowly here.

    Sources

    Principal sources

    1.
    ALTO HSR Citizen Research Initiative (2026). HPR Strategy, Chapter 4 — High Performance Passenger Rail (Express journey times). citizenresearch.ca
    2.
    VIA Rail Canada Annual Report 2023; published timetables, station-pair travel times and Economy fare ranges; ridership via Statista (2024) — Montréal–Ottawa–Toronto triangle at 2.1 million passengers.
    3.
    Cirium aviation analytics (2025), via Simple Flying — Toronto Pearson top destinations by capacity; ~930,000 one-way Toronto–Montréal seats on YYZ–YUL alone.
    4.
    Quebec City–Windsor Corridor reference data — ~108 flights per workday within the Toronto–Ottawa–Montréal triangle.
    5.
    Ministry of Transportation of Ontario (2019, 2024). Highway 401 Annual Average Daily Traffic counts; Toronto-area AADT exceeds 450,000 vehicles/day.
    6.
    Statistics Canada Tables 23-10-0253-01 (Air passenger traffic) and 51-204-X (Air Passenger Origin and Destination, Domestic).
    7.
    Currie, G. & Phung, J. (2007). Transit Ridership, Auto Gas Prices, and World Events. Transportation Research Record, 1992. — and Lago, A.M., Mayworm, P.D. & McEnroe, J.M. (1992). Ridership Response to Changes in Transit Services. Transportation Research Record, 818.
    8.
    Wardman, M. (2014). Price Elasticities of Surface Travel Demand: A Meta-analysis of UK Evidence. Journal of Transport Economics and Policy, 48.
    9.
    Mineta Transportation Institute (2017). Modal Shift and High-Speed Rail. P. Haas. — and Moeckel, R. et al. (2013). Mode Choice Modeling for Long-Distance Travel (nested logit, TSRC).
    10.
    Federal Highway Administration (2015). Analysis of Automobile Travel Demand Elasticities With Respect To Travel Cost. — and Litman, T. (VTPI). Transportation Elasticities. vtpi.org
    11.
    International Transport Forum (2019). Roundtable 176: What is the Value of Saving Travel Time? OECD/ITF.
    12.
    Brightline Florida (2024–2026). Monthly Revenue and Ridership Reports; KBRA bond rating actions. — and Geotab (2025). Travel Time vs. Toll Costs: Toronto’s 407 and 401.
    13.
    Ben-Akiva, M. & Lerman, S. (1985). Discrete Choice Analysis. MIT Press. — and Train, K. (2009). Discrete Choice Methods with Simulation, 2nd ed. Cambridge University Press.
    14.
    ALTO HSR Citizen Research Initiative companion notes: Note 1 — Modal shift between high-speed rail and air, and the Modal Shift & Ridership synthesis brief that sets this note alongside Notes 1, 3 and 4.
  • Reading the ledger

    Reading the Ledger

    The single equation every operating rail corridor has to balance — and what it tells us about ALTO.

    ◆ Foundational Framework

    Most public discussion of major rail projects gets lost in the detail of individual numbers — capital cost, ridership, ticket price, subsidy, projected GDP impact. Each is presented as a standalone claim, defended or contested on its own terms. The result is a debate that produces heat without resolution.

    There is a simpler approach. Every operating rail corridor in the world, public or private, has to balance the same equation every year. The five terms in that equation are not negotiable; the equation is an accounting identity. What is negotiable is which terms are filled in, which are left implicit, and which are quietly set to zero by the proponent’s framing.

    Critical Finding

    Every operating rail corridor has to balance the same five-term equation every year. Choose any three of the four right-hand terms, and the fourth is fixed by arithmetic — not by political assertion. ALTO’s published materials supply numbers for some of the five terms, leave others implicit, and assume one — land value capture — is zero. The result, when written out, does not balance.

    This brief sets out the equation, walks through what anchors each of its five terms, and applies it to ALTO. The point is not to settle the project on a single number. It is to give the reader a structure for reading any major rail project’s published materials and asking the simple question: do the numbers balance?

    Download Full Methodology Paper
    A Framework for Independent Evaluation of the ALTO HSR Project (PDF)
    The annual fiscal ledger framework, the seven-stage analytical pipeline, and the supporting research notes underpinning each ledger term — the full apparatus this brief summarises

    Download PDF

    The Equation

    The five terms every corridor balances

    The ledger looks like this:

    The Annual Fiscal Ledger
    Capex × CRF+O&M and fleet capital=Ridership × Fare+Public subsidy+Land value capture
    annual debt service+annual operating cost=annual farebox+annual subsidy+annual LVC

    In words: the cost of running the corridor in a given year — debt service on the capital outlay, plus operations and maintenance, plus the periodic replacement of the train fleet — must equal the revenue collected from those who ride, plus the public subsidy required to close any remaining gap, plus whatever supplementary revenue is captured from land value uplift around stations.

    The identity is an accounting truism. What makes it analytically useful is that each of its five terms is independently anchored. None can be set at will. Each has a defensible value that emerges from a specific empirical or engineering methodology, rather than from political assertion. A claim that does not specify all five terms is incomplete by construction.

    The five terms group naturally into three sections. The cost side has two: capital service and operating cost. The earned revenue side has one: farebox. The gap-closing section has two: public subsidy and land value capture. Each section is anchored by a distinct methodology, and each gives a particular reader a particular handle on the project.

    Section 01 · The Cost Side

    What it costs to run the corridor each year

    The two cost terms — capital service and operating cost — are anchored by entirely separate methodologies. Both have to be answered before any debate about ticket prices or ridership begins.

    ~$4.9B
    annual capital service at the proponent-stated capex
    $75B capex, 5% / 30-yr CRF
    ~$9.3B
    annual capital service at the reference-class central capex
    $143B central RCF estimate
    ~$2.15B
    annual operating cost: O&M + fleet capital
    Stage 4 bottom-up at MID service

    Capital service (Capex × CRF) is the annual cost of paying back the capital outlay. It is the capital expenditure multiplied by the capital recovery factor, which reflects the cost of capital and the amortisation period. At the proponent-stated $75 billion capex and a representative 5% / 30-year CRF, this is approximately $4.9 billion per year. At the reference-class-adjusted central capex of $143 billion — derived from international cost-overrun patterns calibrated by the corridor’s engineering and community complexity — the same calculation produces approximately $9.3 billion per year.

    Operating cost (O&M and fleet capital) is the annual recurring cost of running the corridor, built bottom-up from corridor asset inventory and service-level inputs across three streams: infrastructure maintenance and renewals, operating categories (traincrew, traction energy, station operations, network control, commercial, insurance, general overhead), and the periodic replacement of trainsets. At MID service intensity this produces approximately $2.15 billion per year — $1.27 billion in infrastructure maintenance, $700 million in operations, and $180 million in fleet capital recapitalisation. International comparators (SNCF Réseau, Network Rail HS1, California HSRA, Spanish ADIF) are used at the end of the build for cross-validation, not as the primary estimating method.

    The crucial methodological point: operating cost is built independently of capital cost. The bottom-up engineering estimate of recurring annual cost does not depend on whatever capex figure the proponent adopts. It is therefore independent of the optimism bias that pervades capital cost estimation in the cost-overrun reference class.

    Why this matters

    A reader who is told only the capital cost has been given half the cost picture. A reader who is told operating cost will be covered by farebox has been given an answer that depends on the next section. Neither of these is a complete account of the cost side of the ledger.

    Section 02 · The Earned Revenue

    What the corridor can actually sell

    The earned revenue side of the ledger has one term: farebox. It is the only revenue source that can in principle be raised by selling something to a willing buyer; everything else on the right-hand side is either a transfer from the treasury or a charge on third parties.

    ~$1.3B
    annual farebox revenue at the welfare-efficient operating point
    Regime B: ~8M riders at fare parity with air
    5–12M
    annual ridership envelope across the operating-regime spectrum
    Stage 5 modal-shift frontier
    24–43M
    ridership figures in ALTO’s published materials
    all sit outside the achievable frontier

    Farebox revenue (Ridership × Fare) is the product of two variables that cannot be chosen independently. Raising fares reduces ridership along the air-rail and road-rail modal-shift S-curves; lowering fares reduces revenue per rider. The achievable combinations of ridership, fare, and corresponding subsidy lie on a one-dimensional frontier through a four-variable space. Choose any one variable, and the other three are fixed by the modal-shift relationships and the corridor’s demographics.

    For ALTO, the modal-shift frontier produces three discrete operating regimes. Regime A (heavy subsidy, deep fare discount to air) lands at approximately 12 million annual riders, $5 billion annual operating subsidy. Regime B (welfare-efficient, fare parity with air) lands at approximately 8 million annual riders, $2 billion annual operating subsidy, with peak fare revenue of approximately $1.29 billion. Regime C (minimal subsidy, yield-managed premium fare) lands at approximately 5 million annual riders, $1 billion annual operating subsidy.

    The Government’s published ridership figures — 24 million annually in some materials, 1.21 billion trips over the first 40 years (averaging approximately 30 million annually) and 43 million annually by 2084 in the Q-923 reply — all sit outside this achievable frontier. The reply’s $100 billion fare-revenue projection over the same forty-year window implies an average fare of approximately $83 per trip, a (fare, ridership) pair the modal-shift framework does not produce.

    Why this matters

    A claim that pairs a ridership figure with no specified fare, or a fare with no specified ridership, is not internally consistent. The two are linked by the corridor’s modal-shift mathematics. The frontier is the single-degree-of-freedom constraint that makes this so — and it is the analytical reason ALTO’s headline ridership figures cannot be defended on the modal-shift evidence.

    Section 03 · The Gap Closers

    What closes the gap between cost and earned revenue

    If farebox revenue does not equal cost — and at every operating point on the modal-shift frontier for ALTO, it does not — the gap has to be closed by something. Two instruments are available.

    $3.6–10.2B
    implied annual public subsidy across the cost and operating-regime range
    the residual that closes the ledger
    5–15%
    share of capital service typically funded by LVC in international comparators
    HS1, Crossrail, MTR, Japan
    $0
    land value capture under ALTO’s currently published scope
    no disclosed LVC instrument

    Public subsidy is the dominant gap-closer in every operational HSR network in the world. Every HSR system except the four highest-density Japanese and Chinese trunks operates with a structural annual operating subsidy on top of capital service support. Even those four required the full capital outlay from public funding. Public subsidy is the residual term in the ledger: whatever closes the gap between annual cost and the sum of farebox plus LVC. It is bounded below by zero (the corridor cannot pay passengers to board) and above by total cost.

    Land value capture is the only large-scale supplementary mechanism with an empirical track record. The known instruments — HS1’s station-area development uplift, Crossrail’s Business Rate Supplement, Hong Kong’s MTR Rail+Property model, Japan’s private-railway joint development arrangements — produce typically five to fifteen per cent of capital service requirements across these comparators. The remainder, in every case, closes through public subsidy.

    ALTO’s published materials disclose no LVC mechanism. Bill C-15 (the High-Speed Rail Network Act) provides streamlined expropriation and right-of-first-refusal authority but no betterment levy, tax-increment financing district, special assessment district, joint development framework, or air-rights regime. The forecast 60,000 to 63,000 new residential units around stations is invoked as a downstream property-tax benefit accruing to municipalities — not as a financing source for the corridor. The Senior Director, Commercial and First Nations Financial Participation role addresses Indigenous equity in Alto itself, not station-area land value capture.

    Under the current published scope, therefore, the LVC term is zero. The entire gap closes through public subsidy.

    Why this matters

    A claim that does not name a mechanism for closing the gap is implicitly claiming that public subsidy will close it. A claim that the corridor will be “self-sustaining” is a claim about a specific term — operating cost coverage by farebox — that says nothing about the much larger term of capital service. The reader who treats “self-sustaining” as a description of the project’s lifetime public cost is reading it against the narrowest available technical definition.

    Side by Side · ALTO’s Ledger

    The published numbers, written out

    Plug ALTO’s published numbers into the equation. The result, in central-case figures for the full corridor at maturity, looks like this:

    Ledger term What ALTO has disclosed
    Capex × CRF — annual capital service. At the proponent-stated $75B capex and a representative 5% / 30-yr CRF, approximately $4.9B per year. At the reference-class central capex ($143B), approximately $9.3B per year. ALTO has disclosed the capex range ($60–90B, AACE Class 5), but has not disclosed the annual capital service figure or the amortisation assumption behind it. The Q-923 reply addressed in Reading the Answer describes operations as “self-sustaining”, a claim that is silent on capital service.
    Term status:Capex disclosed, debt service not
    O&M and fleet capital — annual operating cost, built bottom-up from corridor asset inventory at MID service: ~$2.15B per year. ALTO refers in Q-923 to bottom-up O&M built from operational benchmarks and lifecycle profiles, but no figure has been published. The Stage 4 bottom-up engineering estimate in the methodology paper supplies a defensible ~$2.15B per year.
    Term status:Method described, figure not disclosed
    Ridership × Fare — annual farebox revenue. At the welfare-efficient operating point (Regime B), approximately $1.29B per year. ALTO has disclosed multiple, non-reconciled ridership figures (24M annually, 30M average over forty years, 43M by 2084). Average implied fare of ~$83 per trip from the Q-923 $100B / 40-year revenue figure sits outside the corridor’s achievable modal-shift frontier.
    Term status:Ridership figures non-reconciled and off-frontier
    Land value capture — supplementary revenue from station-area land value uplift. International comparators fund 5–15% of capital service this way. No disclosed mechanism. The forecast 60,000–63,000 new residential units around stations is invoked as a downstream property-tax benefit accruing to municipalities, not as a financing source. The LVC term is zero by default.
    Term status:No mechanism disclosed
    Public subsidy — the residual that closes the gap. With LVC at zero, this is approximately $5.76B per year at proponent-stated capex; approximately $10.16B per year at the reference-class central. Not disclosed in any form. The Q-923 reply asserts operations will be “financially self-sustaining” and “eliminating the need for ongoing operating subsidies.” That framing speaks to the operating cost term, which is the smaller of the two cost terms. It does not speak to the capital service term, which is approximately twice as large.
    Term status:Not disclosed; framed as zero

    At the reference-class central capex of $143 billion, the implied annual subsidy rises to approximately $10.16 billion. At the proponent-stated capex but the high-ridership operating regime (Regime A), the implied subsidy is approximately $3.6 billion per year — lower than the welfare-efficient case because Regime A places a heavier subsidy directly on the operating account, with a larger fare-revenue base offsetting some of it.

    None of these subsidy figures appears in ALTO’s published materials. None appears in the Government’s response to Order Paper Question Q-923. The framing speaks to the operating cost term, which is the smaller of the two cost terms. It does not speak to the capital service term, which is approximately twice as large.

    The Honest Answer

    Does the equation balance?

    Not in any of the operating regimes the modal-shift frontier permits. The corridor at any defensible operating posture produces fare revenue substantially below the sum of capital service and operating cost. The gap, in central-case figures, is between $3.6 billion and $10.2 billion per year — corresponding to a 60-year present value, at standard social discount rates, of roughly $80 billion to $230 billion.

    This is not, in itself, an argument against the project. Most large infrastructure projects in most countries close their gaps through public subsidy and have done so since the nineteenth century. The question is not whether the gap exists — the equation guarantees that it does — but whether the gap is being honestly disclosed and whether the public benefit justifies its size.

    The first half of that question can be answered by reading the published materials carefully. The second half is the political-economy judgment that the institutional process is supposed to support.

    What the methodology developed here does is make the first half answerable. The equation forces the disclosure. Every term is independently anchored, and a published claim that does not specify all five terms is incomplete by construction. A reader who knows what the equation looks like can ask, at every turn, what the missing terms are.

    For the Next Federal Statement

    Three questions to ask of any major rail project

    Each question follows naturally from the ledger framework. None presupposes opposition to any project. Each is the kind of question the equation requires to be answered before any reader can form a judgment.

    1. On the cost side

    What is the annual capital service figure at the stated capex, and over what amortisation period? What is the annual operating cost figure at the planned service level? Are the two reported separately, or aggregated under a single label that conflates them?

    2. On the revenue side

    At what fare is the stated ridership achievable on the relevant modal-shift S-curves? Does the (fare, ridership) pair sit on the corridor’s achievable frontier, or does it require modal-shift behaviour the international evidence does not support?

    3. On the closing terms

    What is the implied annual public subsidy at the stated capex, operating cost, and farebox revenue? Is land value capture being assumed as a financing source? If so, through what disclosed instrument? If not, is the LVC term acknowledged to be zero, and the subsidy term enlarged correspondingly?

    None of these questions presupposes a view about whether ALTO should be built. Each is the kind of question a reasonable reader would ask before forming a view. Each is also the kind of question the parliamentary record has so far not been pressed to answer in the terms the equation requires.

    Sources

    Methodology and supporting documents

    This brief is a synthesis of the analytical methodology developed in the Initiative’s full methodology paper, A Framework for Independent Evaluation of the ALTO HSR Project (May 2026). The methodology paper contains the detailed derivations, reference-class calibrations, and stage-by-stage rubrics summarised here.

    1.ALTO HSR Citizen Research Initiative, A Framework for Independent Evaluation of the ALTO HSR Project (Methodology Paper), May 2026 — the annual fiscal ledger framework, Section 2; the seven-stage analytical pipeline, Sections 3 through 7.
    2.Capital service calibration — CAPEX Notes 1 through 4: Engineering Complexity Rubric; ALTO Engineering Complexity Scorecard; Community Friction and HSR Cost (international comparative analysis); Engineering Complexity and Community Friction as joint predictors of HSR cost.
    3.Operating cost — O&M Notes 1 through 3: Infrastructure Maintenance Costs for HSR; Operating Costs for HSR; Combined Cost Recovery for ALTO HSR.
    4.Modal-shift frontier — MS Notes 1 through 4: Air-rail modal-shift S-curve; Road-rail modal-shift S-curve; ALTO HSR ridership envelope 2035–2080; Subsidy frontier and optimisation.
    5.Land value capture analysis — Methodology Paper, Section 2 (LVC paragraph); LVC Note 1 (assessing the $12 billion claim in the McGill TRAM financial model).
    6.Order Paper Question Q-923, 45th Parliament, 1st session. Asked by Philip Lawrence MP (Northumberland–Clarke), March 5, 2026; answered by the Minister of Transport, April 22, 2026; reply signed by Mike Kelloway, Parliamentary Secretary. ourcommons.ca
    7.ALTO HSR Citizen Research Initiative, Reading the Answer (Cost & Ridership Brief), May 2026 — the companion brief reading the three numerical claims in Q-923 against the academic record.
    8.ALTO HSR Citizen Research Initiative, Reading the Footnote (Cost Estimation Brief), May 2026 — the companion brief on the AACE Class 5 classification and what it implies for the $60–90 billion figure.
    9.ALTO HSR Citizen Research Initiative, The Report That Vanished (Parliamentary Process Brief), May 2026 — the parliamentary record into which the Q-923 reply was placed.
  • Transport Action Canada

    The Voice ALTO Has Already Heard From

    Transport Action Canada and Transport Action Ontario — the country’s principal pro-rail civil-society voice — have made detailed substantive recommendations about ALTO. What they asked for. What the record shows ALTO has so far addressed. What their voice contributes that nothing else in the public record does.

    ⚠ Documents Under Analysis

    On March 16, 2026, Transport Action Canada and Transport Action Ontario submitted an 18-recommendation written response to ALTO at the close of the January–March 2026 consultation period. The organizations also published an open letter setting out what they believe the substantive questions about the project are, and what credible alternatives have been studied previously.

    They are explicitly pro-rail. They are not opposed to high-speed rail in principle. Their concerns are technical, financial, and service-continuity concerns, and they are asking for the same documents and analyses that Parliament’s own Transport Committee asked for in September 2024 — and that have not been produced.

    Critical Finding

    The questions about ALTO’s cost, ridership, document release, and VIA-service impact are not coming only from project-affected landowners, from anti-rail critics, or from research initiatives. They are coming from the country’s principal pro-rail civil-society voice, in March 2026, on the public record, having formally engaged with ALTO through ALTO’s own consultation process.

    The brief sets out what Transport Action asked for, what the record shows ALTO has addressed, and what credible alternatives they have publicly identified.

    Download
    The Voice ALTO Has Already Heard From — Full Brief (PDF)
    What Transport Action Canada and Transport Action Ontario asked of ALTO, what ALTO has addressed, and what their voice contributes to the public record
    Download PDF
    The Witness

    Who Transport Action is

    Transport Action Canada describes itself as “Canada’s citizen advocacy organization for public transportation,” with members who have “discussed and debated the subject over the past five decades, including of course High Speed Rail and possible alternatives.” It and its provincial affiliates — including Transport Action Ontario, jointly authoring the consultation letter analysed here — are the principal national civil-society voice on Canadian intercity rail policy.

    Their position on ALTO is unambiguous. The open letter opens by welcoming “serious discussion of all options to improve passenger rail.” The consultation letter opens by describing the organizations as “a knowledgeable, passenger-focussed NGO that is very supportive of intercity passenger rail.” They explicitly recognize the underlying problem ALTO is intended to address — that VIA Rail’s constrained access to CN’s Kingston Subdivision “has long been recognized as untenable, which prompted the development and launch of VIA’s High Frequency Rail proposal in 2015.”

    They acknowledge the limits of incremental improvement: “just improving the CN route in isolation while continuing to operate alongside freight would not come close to the quintupling of capacity and slashing of travel times possible with some kind of dedicated track.” They are, in plain terms, an organization that wants more passenger rail in Canada and is substantively critical of how this particular HSR project is being delivered.

    What They Asked For

    The March 2026 consultation response

    Transport Action’s March 16, 2026 letter to ALTO’s Government and Stakeholder Relations office contains eighteen specific recommendations across seven sections. The four recommendations that most directly overlap with the existing CRI evidence base are set out below.

    Recommendation 1
    On the business case and cost
    What Transport Action asked

    “There is considerable skepticism from the public and stakeholders about the business case for HSR… It is urgent that a detailed Business Case be completed as soon as possible, including preferred corridor, capital cost, detailed ridership, fares, revenue and methods of calculation.”

    Mapped onto the parliamentary record

    This is, in substance, the same request as Recommendation 4 of TRAN Report 18 (September 2024), which asked the Minister to require an HFR-versus-HSR cost analysis within six months. As CRI’s brief The Report That Vanished documents, that analysis was never produced. Transport Action is asking, eighteen months later, for the same kind of cost-and-business-case work.

    Recommendation 2
    On ridership transparency
    What Transport Action asked

    “No details are provided on the ridership model, population assumptions, network assumptions, demand per segment, fares, cost of gasoline etc. Although the ridership assumption may be reasonable when lifted from European ridership, there is skepticism that this would be replicated in central Canada, due to lower fuel prices, absence of road tolls etc.”

    Mapped onto the parliamentary record

    This maps directly onto Claim 3 in Reading the Answer — the government’s 43-million-by-2084 ridership figure in Q-923. Transport Action specifically raises the central-Canadian fuel-price and road-toll conditions that distinguish the corridor from the European benchmarks, and quantifies the Ontario provincial subsidy to personal car use at $2.5 billion per year as a “politically tilted playing field” that any credible ridership model must account for.

    Recommendation 3
    On document release
    What Transport Action asked

    “We urge you to release a full unredacted version of the JPO report, plus any other reports that were in the ‘data room’ made available to the three bidders. At this time, with the tender process completed, there should be nothing in these reports that is business-confidential.”

    Mapped onto the parliamentary record

    This is — almost word for word — the same request as Recommendation 6 of TRAN Report 18. Transport Action makes an additional point that the procurement-completion rationale for non-disclosure no longer applies: with the bidder data-room phase concluded, there is no remaining commercial confidentiality argument. The reports have still not been released.

    Recommendation 6
    On the future of VIA service
    What Transport Action asked

    “Recent media reports from Kingston regarding possible diminution of current VIA Rail services when ALTO is operational must be heeded… It is important that ALTO and VIA Rail jointly issue a statement promptly about plans for services at these cities. Otherwise, local elected officials and residents will continue to impede ALTO’s progress.

    Mapped onto the parliamentary record

    This maps directly onto Recommendations 8 and 10 of TRAN Report 18 — the VIA-impact analysis and the no-service-reduction commitment, both unanswered since September 2024. The Senate TRCM raised the same concern in February 2026. The question has now been asked across two parliamentary chambers and one substantial stakeholder consultation submission; it has not been substantively answered.

    Transport Action’s remaining fourteen recommendations cover downtown and shoulder station design, affordable fares, intercommunity bus access for towns currently outside the rail network, emergency-management cooperation with rural fire and EMS, wildlife crossings, sufficient road and trail bridges, recognition of Ontario’s 1834 Drainage Act, First Nations contingency planning for archaeological discovery, sensitive-agricultural-use mapping (sugar bushes, vineyards, certified organic land), and compensation frameworks for intensive agricultural operations that would need to be relocated. Several bear directly on issues documented in CRI’s Five Hundred Farms brief.

    Three Alternatives They Identified

    What pro-rail technical analysis says is possible

    A question CRI has not previously had answered by a technically literate pro-rail body: were credible alternatives to ALTO actually studied, and what did the studies show? Transport Action’s open letter identifies three.

    01

    Targeted CN-route improvements

    “Further investments to improve passenger and freight fluidity, like the third track between Belleville and Napanee and station improvements… would make a big difference to reliability at modest cost.”

    Transport Action concedes this alone is insufficient to deliver the “quintupling of capacity and slashing of travel times” possible with a dedicated track — but lays out a complementary package of known modest cost.

    02

    The freight grand bargain

    “Moves most CN freight over to the CPKC route through Perth… The existing CN route could then be upgraded to support more passenger services at up to 170 km/h, with travel times of around 4 hours between Toronto and Montreal or Ottawa.”

    This is the High Performance Rail framework substantially as CRI has documented it, here independently advocated by Transport Action as a technically credible option.

    03

    HFR on the original Havelock alignment

    “A dedicated track that takes a more direct route between Toronto and Ottawa, with the advantage of reconnecting Peterborough to the railway network, was VIA Rail’s preferred option, while also preserving service on the existing route through Kingston.”

    This is the project the Joint Project Office was funded in 2017 to study, the project the Transport Committee studied in 2023–24, and the project the federal government redesignated in late 2024.

    Why earlier HSR-along-the-lakeshore studies did not proceed

    Of independent technical interest is Transport Action’s observation about why HSR following the Lake Ontario lakeshore has been studied multiple times without proceeding:

    High Speed Rail following a lakeshore from Toronto through Kingston has also been studied before, more than once, by both the federal and provincial governments, without proceeding. For safety reasons, and to achieve 7 km+ minimum radii for higher speeds, such a dedicated track could not be placed too close to the existing alignment nor right alongside Highway 401. It would thus require significant expropriation, and the number of homes and businesses close to CN’s tracks and the 401 has only grown since the last such study in 2011. The chances are that communities like Port Hope and Trenton would be bypassed entirely, and route from Kingston to Ottawa would also then also go through the same sensitive Frontenac Arch region and many of the communities expressing most concern about Alto’s southern study corridor.

    Transport Action Canada, open letter on ALTO HSR route options in eastern Ontario. read the letter

    This is the route-geometry argument set out by a pro-rail body with the technical standing to make it — the same observation about HSR’s 7-km curve-radius requirement that CRI’s engineering research has documented, here presented as a published critique by an established advocacy organization.

    What Their Voice Contributes

    A fifth source category, otherwise absent

    The Citizen Research Initiative’s briefs to date have drawn on four categories of source. Each has its own evidentiary weight; each has its own limitations. Transport Action contributes a fifth that has been substantively absent until now.

    Parliamentary record

    Order Paper questions, Transport Committee reports, Senate committee testimony, the High-Speed Rail Network Act. Authoritative but procedurally bounded.

    Academic studies

    The McGill Transportation Research and Munk School Global Economic Policy Lab analyses. Methodologically rigorous but bounded by funding and study scope.

    Journalism

    The Canadian Press and Globe and Mail reporting; CBC News; Globe coverage of the NFU response. Documentary but episodic.

    Affected stakeholders

    OFA, UPA, CFA, BFO, NFU. Authentic to affected communities but advocating for their members’ specific interests.

    Pro-rail advocacy

    Transport Action Canada and Transport Action Ontario. A credible, technically literate, pro-rail civil-society voice with no opposition to the project in principle, no economic interest in its outcome, and a fifty-year record of engagement with Canadian intercity passenger rail policy.

    This matters in two specific ways. First, it forecloses the response that the questions about ALTO’s cost, ridership, document release, and VIA-service impact are coming only from project-affected landowners or from anti-rail critics. They are coming from the country’s principal pro-rail civil-society voice, on the public record, having formally engaged with ALTO through ALTO’s own consultation process. Second, it puts the alternatives that have been considered — including the HPR framework the Initiative has been documenting — into the technical vocabulary of an organization that has the standing to describe them.

    Recommendations That Remain Live

    What still has not been produced

    As of May 2026, the public record shows that:

    The cost analysis Transport Action’s March 2026 letter asked for — and that TRAN Report 18 Recommendation 4 had asked for in September 2024 — has not been produced. The $60–90 billion AACE Class 5 figure in Q-923 stands without it.
    The Joint Project Office report Transport Action’s March 2026 letter asked to be released — and that TRAN Report 18 Recommendation 6 had asked to be released in September 2024 — has not been released. Transport Action’s additional point that the procurement-completion rationale for non-disclosure no longer applies has not been addressed.
    The VIA-impact analysis Transport Action’s March 2026 letter asked for, that the Senate TRCM raised concerns about in February 2026, and that TRAN Report 18 Recommendations 8 and 10 had asked for in September 2024, has not been produced. ALTO’s published material continues to refer to “optimization” of existing VIA services without a binding commitment.
    The ridership-model assumptions Transport Action’s March 2026 letter asked be made public have not been published. The government’s 43-million-by-2084 figure in Q-923 stands without disclosed methodology behind it.

    None of these are partisan demands. None of them is hostile to the project. All of them are recommendations from an established pro-rail advocacy organization, made through ALTO’s own consultation process, asking the same things that Parliament’s own committee was asking. Their continued non-fulfilment is procedural, not substantive — and procedurally, as The Report That Vanished sets out in detail, the questions remain available to be revived by parliamentary or stakeholder action.

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    The Voice ALTO Has Already Heard From (PDF)
    Reference document for federal decision-makers, parliamentarians, journalists, and constituents tracking the file
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    Sources

    Primary documents and references

    1.
    Transport Action Canada and Transport Action Ontario, Comments arising from ALTO HSR Stakeholder Roundtable and Public Consultation Sessions (letter to Peter Paz, Government and Stakeholder Relations, ALTO), March 16, 2026. Signed by Terry Johnson (President, Transport Action Canada) and Peter Miasek (President, Transport Action Ontario). ontario.transportaction.ca
    2.
    Transport Action Canada, Why did the government chose Alto? (open letter on ALTO HSR route options in eastern Ontario), 2026. ontario.transportaction.ca
    3.
    House of Commons Standing Committee on Transport, Infrastructure and Communities, Issues and Opportunities: High Frequency Rail in the Toronto to Quebec City Corridor. 18th Report, 44th Parliament, 1st Session. Tabled September 2024. ourcommons.ca
    4.
    Order Paper Question Q-923, 45th Parliament, 1st session. Asked by Philip Lawrence (MP for Northumberland–Clarke), March 5, 2026; answered April 22, 2026.
    5.
    ALTO HSR Citizen Research Initiative companion briefs: Reading the Answer (May 2026); Reading the Footnote (May 2026); The Report That Vanished (May 2026); What We Know About ALTO’s Reporting and Accountability (May 2026); Five Hundred Farms (May 2026).