Tag: journey times

  • Where the line goes

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

    Where the line goes, and what it costs

    Pick the route first and the speed follows. Pick the speed first and the route picks itself — expensively.

    Every rail project has one decision that cannot be undone. Not the trains, not the timetable, not whether the line runs on diesel or electricity — all of those can be changed later. The route is the one that is fixed for a century. This chapter is about that decision: where an HPR line would run, why, and what it would cost.

    It also explains the single choice that separates the two proposals. ALTO decided on 300 km/h and then had to find ground straight enough to carry it. HPR starts from what the corridor already offers and lets the speed come out of that. The result is a railway that costs roughly a third as much per kilometre — and arrives about twenty-five minutes later.

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    Chapter 4: Route Alignment and Capital Cost (PDF)
    The full chapter, with the cost model, maps and sourcing
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    4.1 · The Window

    Is the corridor still available?

    Speed decides how straight a railway has to be, and the relationship is steep. A curve for 200 km/h needs a radius of about 1,900 metres. At 240 km/h it is about 2,700. At 300 km/h it is about 4,250 — nearer 7,000 for a comfortable ride. Anywhere in the 177–240 km/h band, those curves are gentle enough to follow a route that has already been cut through the landscape, easing the bends here and there. At 300 km/h the curves run for kilometres, and no amount of easing fits them alongside Highway 401 or the existing rail corridor. The line has to strike out across open country. That is physics, not preference.

    This is why the project’s own history matters. What became ALTO went into the procurement as VIA High Frequency Rail — a plan the government itself described as running at up to 200 km/h on dedicated track along mostly existing rights-of-way. The 300 km/h target that emerged is what closed the existing corridor off.

    The window is closing, but not mainly because of the highway

    The Highway 401 widening is the visible threat, but it is only the leading edge. What really closes the corridor is ordinary growth: commercial development at the interchanges, then logistics parks moving east from the GTA, then housing, then the utility corridors — hydro, gas, fibre, water — that lock in behind them.

    None of it reverses. A logistics park is not removed; a subdivision is not un-built; a utility corridor is not moved cheaply. Each step is fast and cheap to build and slow and expensive to undo. By late in the century the corridor that is open today is set solid, and a surface railway through it is no longer possible — only an elevated or tunnelled one, at a cost approaching ALTO’s.

    We put a number on what that closure would cost: roughly $42.6 billion, in a range of about $28 to $55 billion. It has three parts — farmland on the margin re-valued as developed land when it finally has to be bought ($2.6B); the jump from an at-grade build on open ground to elevated and tunnelled construction through built-up areas ($19.3B); and the value of the benefits lost during the decades of delay ($20.7B). The headline is that the cost of missing the window is about the same order as the cost of building the railway — and it is incurred by waiting, not by building.

    4.2 · The Route

    Take the speed the ground gives you

    Inside the Toronto–Ottawa–Montréal triangle the route has two parts. A spine of roughly 479 kilometres from Pickering Junction to Dorval, built and upgraded as a dedicated passenger route. And the Ottawa legs, about 200 kilometres of upgrades on track the public passenger operator already owns.

    In each stretch the line follows whichever existing corridor runs straighter — Highway 401 or the existing rail corridor — sitting beside it rather than on it, separated from road traffic throughout. The two run roughly parallel for most of the way, so the ground the railway follows is already a transport corridor rather than open farmland. No major tunnels, and only a limited number of viaducts.

    The reversal at the heart of the chapter

    ALTO fixes the speed and lets it dictate the route — which is exactly how the corridor came to be closed off. HPR does it the other way round: it takes the highest speed each stretch of corridor already offers, up to a 240 km/h ceiling, and never buys speed the ground does not give away free.

    Where the ground is generous, the trains go fast

    The dead-straight run along the St. Lawrence from Brockville to Cornwall, the riverside stretch to Coteau, the inland 401 across the Napanee plain — all support 240 km/h with routine curve easing alone.

    Where it isn’t, they go slower

    Through the Frontenac Arch, where the line follows the least-bad path the 1850s builders found through the Shield, and on the tight approaches through Durham and into Montréal, trains simply run slower. Buying speed there would mean buying tunnels, viaducts and a new right-of-way.

    One consequence matters for the costing: the whole spine is priced at the 200 km/h standard — conventional structures, curves near 1,900 metres. The stretches that can run faster are a bonus in service, not an extra cost to build. The cost model never pays for speed the corridor gives away.

    4.3–4.6 · The Cost

    What it would cost, and what we commit against

    The spine is priced two ways, and the difference between them is the discipline this whole report is built on.

    FigureWhat it means
    $19.0 billion
    as specified — about $40M per km
    What the 479 km diesel spine costs if everything goes to plan, grade separations included.
    $26.1 billion
    de-biased — about $54M per km
    What comparable projects have actually cost when things didn’t go to plan. This is the figure to commit against — not because this project is expected to overrun, but because comparable ones reliably have.
    +$3.1 billion
    electrification
    A separately priced option that can be deferred, rather than a fixed requirement. The line opens on diesel and electrifies when demand warrants.

    Adjusting for the record is not pessimism. The as-specified figure is what the corridor costs if everything goes right; the adjusted figure is what similar projects have actually cost when it didn’t. Committing against the second is the discipline ALTO never applied to itself.

    Why deferring electrification matters more than it sounds

    Eastern Ontario’s electricity system is already under active capacity assessment — the system operator is testing whether the existing grid can meet ordinary demand growth over the next two decades before any railway load is added. A 300 km/h electric line is a heavy new customer on exactly that system, and its electric design makes that load mandatory and up front.

    A diesel-first railway opens on the traction it carries with it. Electrification — lighter in any case at 200 km/h — follows once the grid has headroom and the ridership justifies it. The railway’s opening is not tied to the grid’s expansion timetable.

    Cold climate cuts the same way. Leda clay, karst and freeze–thaw are real hazards, and the international record shows what they can do: China’s Harbin–Dalian line cost about 25% more than its original budget, had sections rebuilt before opening because of frost-heave deformation, and opened roughly a year late. But that is a 300 km/h record. At 200 km/h the tolerances are far more forgiving, and frost heave that would force a speed restriction on a high-speed line is a maintenance item on a slower one. The lower design speed buys a smaller penalty.

    4.7 · The Comparison

    Three and a half times the price per kilometre

    The chapter’s figures resolve into a single comparison. Measured the same way, the HPPR spine costs about $40 million per kilometre. ALTO costs about $142 million per kilometre. Two railways, the same corridor, the same cities — one priced at roughly three and a half times the other for every kilometre of route.

    The gap splits roughly one-third engineering, two-thirds friction. About 35% is engineering complexity: a 300 km/h line across open country with its tunnels, viaducts and fresh cut through difficult ground, against a 200 km/h build that needs no major spine tunnels. The other 65% is corridor friction: the consultation, land-tenure and political burden of a new corridor, against a route that asks far less of the land and the people it crosses. The gap is not the product of one assumption. It is about a third from how the line is engineered and two-thirds from where it is put.

    RailwayCost per kilometre
    TGV Paris–Lyon~$26M — flat, low-friction early French high-speed line
    Tokaido Shinkansen~$35M — dense, high-utilisation Japanese line
    HPPR spine~$40M — among the most efficiently delivered railways in the international record
    ALTO~$142M — above the international range
    4.8 · Journey Time

    What the speed difference actually buys

    Speeds are only interesting for what they add up to. Toronto Union to Montréal’s Gare Centrale, on an express stopping once at Kingston, works out at a little over three and a half hours.

    ServiceToronto–Montréal journey time
    VIA Rail today~5h00 — scheduled service on shared freight track
    VIA HFR base case, 177 km/h3h59–4h19 — the only journey time ever actually simulated for this corridor
    HPPR express, Kingston stop~3h32 — estimated from segment speeds and corridor geometry
    ALTO, 300 km/h3h07 — ALTO’s published figure, a spreadsheet estimate rather than a simulation

    One caution and one conclusion. The caution is that our figure is an estimate of the same kind as ALTO’s — distance divided by speed, with allowances. Neither has been simulated, and we say so.

    The conclusion is that the honest gap between the two railways is about twenty-five minutes, and about nineteen against a non-stop run. ALTO buys that quarter of an hour at roughly three and a half times the capital cost per kilometre.

    Toronto–Ottawa works out at about 2h55 — the spine as far as Brockville, then the upgraded Ottawa leg — against roughly four and a quarter hours today. And the towns along the route gain proportionally more than the endpoints do, because they start from a slower and less frequent service: Cobourg in under an hour, Belleville in about 1h20, on a regional train calling at every station.

    4.9 · The Long View

    What the corridor becomes a century from now

    A rail corridor is not a project. It is an asset that lasts a century, and the decision taken now is the corridor the region lives with long after today’s arguments about cost and timetable are forgotten. The right test of a route is not only what it costs to build this decade, but what kind of corridor it leaves to the people who inherit it.

    That is why the questions in this chapter matter most. They are the irreversible ones. The trains, the traction and the timetable can all be changed later. The route cannot.

    Chapters 5 through 8 take these figures forward — into the environmental and community comparison, the ridership modelling, the operating economics, and the full cost-benefit and financial analysis.

  • Nina’s commute

    Nina’s Commute

    ALTO’s economic report introduces a semi-retired nurse from Peterborough to show what high-speed rail changes. The corridor’s own ridership and fare data says otherwise.

    ⚠ The scenario under examination

    On page 17 of Canada’s Moment, under the heading “What changes for Canadians,” ALTO introduces Nina — a semi-retired nurse living in Peterborough, invited to help train nursing students in Toronto. The report describes it as “an opportunity she would have declined in the past” because of the burden and unpredictability of commuting. With ALTO, it says, “that constraint is reduced” — letting her travel into the city twice a week without significant disruption to her routine, supplement her income, and pass on her expertise.

    It is a well-drawn illustration and the kind of person it describes certainly exists. This brief tests whether the journey it describes actually works, using the only published numbers available for that journey.

    Critical Finding

    On the only published assumption about ALTO’s service span — departures from 6 am — the first train of the day leaves Peterborough roughly 35 minutes too late to get Nina to a clinical placement. Nursing students take handover on the ward at 06:45. To be there, she needs to leave Peterborough around 05:25. She drives, exactly as she does today, which is the constraint the vignette says ALTO removes.

    On cost, the corridor’s own survey data puts willingness to pay for a Peterborough–Toronto trip at C$31 — the lowest value of any city pair on the entire route. Applying the published fare rule, two return trips a week comes to roughly $149–$178 weekly, or somewhere between a quarter and a half of what a part-time clinical teaching post pays after tax. ALTO itself discloses no fare anywhere in its 83 pages.

    And Nina is already inside the forecast she is meant to justify. The same research programme projects 269 daily boardings from Peterborough in every direction combined — about one fifth of a single 1,300-seat departure.

    The document under examination
    Canada’s Moment: The Economic Opportunity of High-Speed Rail
    ALTO, August 2026 — 83 pages. The Nina vignette appears at page 17.
    Read ALTO’s report
    The Market

    How many people make Nina’s trip?

    The most-cited independent study of corridor demand — High-Speed Rail in Canada, from Transportation Research at McGill — publishes a station-by-station table of projected daily boardings. It is the only public breakdown of its kind.

    The Peterborough row reads: 181 people a day to Toronto, 36 to Ottawa, 27 to Montréal, 9 to Trois-Rivières, 16 to Québec City. Total: 269 daily boardings — every direction, every trip purpose, everyone.

    269
    projected daily boardings at Peterborough, all destinations combined
    McGill, Prospective Daily Boarding table
    C$31
    willingness to pay, Peterborough to Toronto — the lowest of any pair on the corridor
    McGill, Willingness to Pay table
    35 min
    how much too late the first train is for a 7 am clinical start
    Initiative calculation, see below

    For scale: an ALTO departure of two coupled eight-car trainsets seats 1,300 people. Peterborough’s entire daily outbound demand is about one fifth of a single departure.

    Peterborough council was told the corridor would carry up to 72 trains a day. That is a corridor figure, not a Peterborough figure — and McGill’s own service design runs an express Toronto–Montréal train that does not stop at Peterborough at all. But even if a third of those 72 trains stopped, 269 boardings spread across 24 stopping trains works out to about eleven people per train.

    Three things should be said about this number before it is used. It is survey-derived stated preference, not observed demand — people saying what they think they would do. It is McGill’s projection, not ALTO’s: ALTO forecasts roughly 2.7 times McGill’s corridor total, and scaling Peterborough proportionally would give around 480 a day to Toronto rather than 181. And the source table contains a visible oddity — 886 people arriving in Peterborough from Toronto against 181 leaving for it, a fivefold asymmetry that is almost certainly a survey artefact rather than a real pattern. None of that changes the order of magnitude, and none of it is what breaks the scenario.

    The Timetable

    Clinical teaching starts at seven in the morning

    This is the part of the scenario that cannot be rescued, and it has nothing to do with money.

    Nursing students on a day-shift clinical placement take handover on the ward at 07:00. They are expected there at about 06:45. An instructor supervising them arrives before that. This is not a detail of one hospital’s policy — it is how bedside clinical education works, because it follows the shift.

    ALTO has published no timetable at all. The only public assumption about its service span is in the McGill financial analysis, which models departures between 6 am and 9 pm. Work backwards from a 06:45 ward start on that assumption:

    What the job requiresWhat the service offers
    06:45 — on the ward for handover
    06:15 — leave Union Station by transit
    06:10 — train arrives Toronto
    05:25 — train must leave Peterborough
    06:00 — earliest assumed departure

    On a 6 am train she reaches Union around 06:50 and a downtown hospital around 07:15 — a quarter of an hour after her students have taken handover without her.
    The first train of the day Leaves 35 minutes too late

    To teach a morning clinical placement, Nina drives — leaving Peterborough around five, exactly as she would today. The constraint the vignette says ALTO removes is the one thing ALTO doesn’t touch.

    One honest qualification. If Nina were teaching classroom or simulation-lab sessions rather than bedside clinical supervision, later start times are possible and this objection weakens considerably. The report describes a nurse with decades of experience in clinical practice, invited to help train the next generation — which in nursing education means supervision on a unit, at shift change.

    The Fare

    What the trip costs, and what the job pays

    ALTO discloses no fare, no average ticket price, and no revenue per passenger anywhere in Canada’s Moment. The only published basis for estimating one is McGill’s: a willingness-to-pay survey, with the financial analysis setting the standard fare at 1.2 times willingness to pay.

    For Peterborough–Toronto, willingness to pay is C$31 — the lowest single value in the entire matrix, lower than every other city pair on the corridor. Applying the published rule:

    Nina’s faresNina’s pay
    Round trip: $74–$89
    Two return trips a week: $149–$178
    A 26-week teaching year: $3,870–$4,620

    Before parking at the station, driving to it, or two TTC fares a day.
    An eight-hour clinical day at Ontario rates: $280–$440 gross
    Two days a week: $560–$880 gross

    Pay figures are from salary aggregators and are indicative only.
    Fare as a share of take-home pay Roughly one quarter to one half

    The vignette describes someone taking a part-time post to supplement her income. On the corridor’s own published fare basis, getting to the job would consume between a quarter and a half of what the job pays. For the person described, that is the difference between an offer worth accepting and one that isn’t.

    And it isn’t cheaper than driving

    Driving
    Fuel alone, 280 km round trip: about $36. Fuel plus wear at roughly 25¢/km: about $70. Hospital-district parking: $15–$25. All in: $50–$95.
    ALTO
    Fare $74–$89, plus station parking and two TTC fares. All in: $85–$110.

    The train costs more than the car for this journey, arrives too late for the shift, and still requires the car to reach the station.

    The Journey

    Door to door, the saving is ten to thirty minutes

    The corridor headline — journey times cut in half — is calculated on long city pairs, where the train’s cruising speed dominates the trip. Peterborough to Toronto is about 140 kilometres. On a leg that short, getting to and from the stations dominates instead.

    Driving todayWith ALTO
    Peterborough to a downtown Toronto hospital, door to door:

    1 hour 45 minutes to 2 hours 30, depending on the 401.
    Drive to station 15–25 min · park, walk, wait 15–20 min · train 40–50 min · Union to hospital 20–30 min

    1 hour 30 minutes to 2 hours 05
    Door-to-door saving About 10 to 30 minutes each way

    Real, but not a transformation — and it disappears entirely if she has to drive anyway to make a seven o’clock start.

    Station siting makes it worse rather than better. ALTO’s own materials point to a site outside Peterborough’s built-up area, and the McGill survey found that Peterborough respondents themselves prefer a car-accessible station away from downtown, near a highway or park-and-ride. Wherever it lands, Nina keeps the car. (Siting is unresolved; a downtown station would improve these timings.)

    The Pricing

    Revenue management points straight at her

    ALTO’s published FAQ states that the project plans to use revenue management — as most airlines and high-speed operators do — to match fares with demand and available seats, with the objective of maximising seat occupancy.

    Yield management prices Nina highest

    Airline-style pricing charges the most for peak, predictable, inflexible travel. Nina travels at peak, on fixed days, to a timetable set by a teaching term she cannot move. She is not the traveller who gets the cheap seat — she is the traveller the cheap seat is withheld from.

    Her city pair is the least valuable on the corridor

    An operator facing a $31 willingness to pay on a short leg and $110 on Toronto–Québec City has an obvious commercial answer, and it is not more Peterborough stops. The scenario depends on a pricing decision that runs against the operator’s stated pricing strategy.

    The Circle

    Nina is already inside the forecast she is meant to justify

    The vignette is offered as an illustration of what high-speed rail makes possible — a benefit the project would create. But the 181 figure comes from asking Peterborough residents how often they would use high-speed rail if it existed.

    The model has already counted the Ninas. There are 181 of them a day, in every trip purpose combined: commuters, visitors, shoppers, students, patients, people going to appointments, people going to the airport, tourists. The illustration does not add to the forecast. It is a description of one person inside it.

    That matters for how the vignette should be read. It is not evidence of demand. It is a portrait of a member of a demand estimate that the same body of research puts at a fifth of one trainload.

    In Fairness

    What this brief is not saying

    The vignette isn’t dishonest

    People like Nina existA faster, more reliable connection would genuinely help some of them. The objection is to the weight a single illustration is asked to carry in an economic case.
    A Peterborough station may be justified on other groundsRegional equity, development around the station, network structure. This brief addresses only whether this scenario demonstrates what it is offered to demonstrate.
    The report is candid elsewhereIts ridership figures are labelled “up to,” and its own tables are headed “upper estimate.” The vignette is where those qualifiers stop applying.

    And the limits of what we can show

    The fares are McGill’s, not ALTO’sALTO has published no fare. If its eventual fare is lower, the affordability arithmetic changes — and nobody can check, because the number does not exist.
    The 6 am service span is an assumptionIt is McGill’s modelling assumption, not an ALTO commitment. ALTO has published no timetable, so the clock test uses the only published assumption available.
    The pay range is indicativeOntario clinical instructor rates here come from salary aggregators and should be replaced with a collective-agreement figure.
    What Would Settle It

    Four questions

    1. What time does the first train leave Peterborough?

    Any service beginning at 6 am cannot deliver anyone to a seven o’clock shift change anywhere in Toronto. Hospitals, factories and construction sites all start before the corridor does.

    2. How many of the 72 daily trains stop at Peterborough?

    The figure given to Peterborough council was a corridor total. The station’s actual frequency has never been published.

    3. What is the fare?

    The scenario’s plausibility rests entirely on a number that appears nowhere in the 83 pages that contain the scenario.

    4. Was this scenario tested against the ridership model, or written independently of it?

    The corridor’s own survey data puts Nina’s entire market — Peterborough to Toronto, all purposes — at 181 people a day.

    Sources

    Primary documents

    1.
    ALTO, Canada’s Moment: The Economic Opportunity of High-Speed Rail, August 2026, 83 pp. The Nina vignette appears at p. 17 under “What changes for Canadians.” Ridership and route described in the executive summary; benefit tables at pp. 60 and 72. altotrain.ca (PDF)
    2.
    Zhang, B., Negm, H., & El-Geneidy, A. (2026). High-Speed Rail in Canada: Insights from a corridorwide survey and a financial analysis. Transportation Research at McGill, McGill University. Daily boardings at section I.3; willingness to pay at section I.4; fare rule, service span and fleet assumptions at section II. tram.mcgill.ca (PDF)
    3.
    ALTO, “Frequently Asked Questions,” altotrain.ca — statement of intent to use revenue management to match fares with demand and available seats. altotrain.ca
    4.
    Deny Sullivan, “High Speed Rail: Ridership forecasting,” 30 April 2026 — secondary commentary that first drew attention to the Peterborough rows and the directional asymmetry in the McGill boarding table. Substack
    5.
    Peterborough City Council resolution coverage, kawarthaNOW, 24 March 2026 — source of the “up to 72 trains per day” figure presented to council. kawarthanow.com
  • Would an Alto stop help kingston

    Would an ALTO Stop Help Kingston?

    Kingston has one of the busiest stations on the network. The question that matters is not whether it gets a stop, but whether a stop would leave more people riding the train, or fewer.

    ⚠ What has been said, and what has not been published

    On 22 July 2026 ALTO’s chief executive, Martin Imbleau, told CBC Radio’s Ottawa Morning that Kingston will probably get a station, and that most ALTO trains would pass through without stopping.1 Neither the timetable nor the location of the station has been published.

    Those two missing facts are exactly the ones that decide the outcome. This brief therefore tests the range: today’s railway, a faster conventional railway using the existing station, and ALTO with a station either inside the city or a twenty‑seven‑minute drive north of it, at normal fares and at fares 25 per cent higher. Every number that goes into the model is listed, so any of them can be argued with.

    The short answer

    Of the options tested, only one leaves Kingston with more rail trips than it has today: a faster conventional railway serving the existing station, at about 12 per cent more. The best ALTO case — a station inside the city, at normal fares — roughly matches today. Every other ALTO case comes out below today’s service, by 8 to 17 per cent.

    The reason is simple. Speed is only one part of what makes a train trip worth taking. ALTO’s faster run to Toronto is worth about 10 per cent more trips on its own. But cutting the number of daily stops from eighteen to eight gives that back. Charging 25 per cent more gives it back again. Moving the station twenty‑seven minutes north of the city costs another 6 to 8 points on top.

    Running more trains cannot rescue it by itself. Even at eighteen stops a day, matching what Kingston has now, an out‑of‑town station at a premium fare still comes out around 9 per cent below today. And about 8 per cent of Kingston’s trips — Belleville, Brockville, Cobourg, Napanee, Oshawa — have no ALTO equivalent at any frequency, because high‑speed trains do not stop at those places.

    Download
    Kingston’s ALTO Ridership Analysis — Full Brief (PDF)
    Full method, all parameters, sensitivity ranges and break‑even tables
    Download PDF
    The Comparison

    Six versions of Kingston’s railway

    The table below is the whole brief in one place. The first row is what Kingston has today. The second is a faster conventional railway from the same station. The last four are ALTO, differing only in where the station sits and what the ticket costs.

    +12%
    faster conventional railway, existing station, same number of trains, normal fares
    the only option that grows ridership
    0%
    best ALTO case: station in town, normal fares, eight stops a day
    matches today, does not beat it
    −17%
    ALTO station 27 minutes north, eight stops a day, fares 25% higher
    central case for an out‑of‑town station

    Table 1 · Headline comparison

    OptionTo TorontoStops a dayFare premiumAnnual tripsChange
    Today’s service135 min18none450,000—
    Faster conventional railway, existing station95 min18none502,000+12%
    ALTO, station in town80 min8none449,0000%
    ALTO, station in town80 min8+25%403,000−10%
    ALTO, 27 min north80 min8none416,000−8%
    ALTO, 27 min north80 min8+25%376,000−17%

    All four ALTO rows assume eight stops a day and that today’s conventional service is withdrawn. They differ only in where the station is and what the ticket costs. No fare structure for intermediate stations has been published, so both possibilities are shown rather than assumed. The faster conventional railway is the 240 km/h new‑build line proposed under the High Performance Rail framework, serving the existing station.

    Starting Point

    Why Kingston already rides the train

    Kingston’s place among the busiest stations on the network gets cited as the reason it should have a high‑speed stop. But what produces that ridership decides whether a different kind of station would reproduce it. Four things do most of the work, and a high‑speed alignment north of the city removes two of them.

    It gets two sets of trains, not one

    Kingston sits halfway along the Toronto–Montréal mainline, and the Toronto–Ottawa trains use the same track as far as Brockville. So Kingston collects two timetables instead of one, and ends up with a level of service beaten only by the three biggest cities on the corridor. Frequency matters to ridership on its own, quite apart from speed: in intercity rail, a 10 per cent increase in service typically brings 4 to 7 per cent more trips.

    The station serves a region, not a city

    Napanee, Gananoque, Amherstview and the western Thousand Islands have no intercity rail of their own, so people drive to Kingston to catch the train. Ridership credited to a city of 132,485 is actually generated by an area several times larger; the Kingston census metropolitan area is 172,546.6

    The population is unusually inclined to take the train

    Some thirty‑nine thousand post‑secondary students study in a city of 132,485: Queen’s enrols 32,585, St. Lawrence College about 4,000 full‑time equivalents at its Kingston campus, and the Royal Military College of Canada 2,418.5 That is about twenty‑nine students for every hundred residents — against roughly twenty‑three in Sherbrooke and twenty‑one in Guelph, the two Canadian cities most often set beside Kingston on this measure.7 Many come from the Toronto and Ottawa regions and travel without a car. Kingston also has a large retired population, for whom avoiding the highway is the point of the trip, and an unusually high share of hospital, university, military and public‑sector jobs where travel is expensed and defaults to rail.

    But that ridership is hard to charge a premium for

    This travel is not spread evenly. It piles up at term boundaries, Thursday and Sunday afternoons, reading weeks and holidays, and it creates a matching flow of families travelling to Kingston. These are the travellers most sensitive to how often trains run and how far the station is from where they are going, and the least able to just drive instead. They are also the least profitable: peaked, price‑sensitive, and largely outside the weekday business hours a high‑speed operation’s revenue depends on.

    Two things worth being clear about

    The ridership figure itself is not published. Kingston’s standing as one of the busiest stations rests on statements by the operator and the Minister, not on released station‑level data. That is the first item on the list of things that should be published, at the end of this brief.

    Existing demand is not the same as new demand. Busy today proves Kingston already travels by train. It does not prove that a different station would generate additional trips. Only new trips add ridership to the corridor.

    There is also no flight from Kingston to Toronto. Elsewhere, high‑speed rail wins its premium passengers off aircraft. In Kingston those passengers are already on the train, so there is nobody to convert. Extra trips can only come out of cars, or be created from nothing.

    Both of the things that built Kingston’s ridership — frequent trains, and a station within the city, roughly ten minutes from the core and the university — are the two things a high‑speed alignment north of the city takes away. That is what the model is built to test.

    Method

    How the numbers were worked out

    Every trip is priced in minutes. Add up the time on the train, the time getting to and from the station at each end, the waiting created by having fewer trains, and the fare converted into minutes using what an hour is worth to that kind of traveller. Time spent driving to a station or standing on a platform counts for more than time sitting on a moving train, because people dislike it more. Journeys that involve changing trains carry an allowance for the change. That matters for one market in particular: ALTO reaches Montréal from Kingston by way of Ottawa, so some of those journeys involve a change, where a direct lakeshore railway does not.

    That total is the real cost of the trip. If it goes up, fewer people travel. If it goes down, more do. The response used here is roughly one for one: make the total 10 per cent better and you get about 10 per cent more trips.

    Travellers are split into four destinations and four types, each divided by whether they have a car available: thirty‑two groups, each worked out separately and then added up. That matters because a student without a car and an expensed public‑sector traveller react to a distant station in completely different ways.

    Table 2 · Everything the model assumes

    InputValue used
    Trips today450,000 a year through the station (tested from 400,000 to 550,000)
    Where people goToronto 58%, Ottawa 22%, Montréal 12%, other corridor stations 8%
    Who travelsStudents 30%, seniors and leisure 25%, public sector 20%, other 25%
    Share without a carStudents 85%, seniors and leisure 50%, public sector 15%, other 20%
    Worth of an hour$14, $20, $48 and $24 respectively, in the same order
    Time on the trainToday 135 / 120 / 160 min; ALTO 80 / 45 / 105 min (Toronto / Ottawa / Montréal)
    Getting to the stationExisting station 10 min by car, 20 by transit; ALTO 27 by car, 35 by shuttle
    How that time is weighted1.5 times if a car is available, 2.0 times if not
    WaitingHalf the gap between trains, weighted at 0.5, across a fifteen‑hour day
    ALTO fare premium25% in the central case; 0% and 40% also tested
    Sensitivity of demandOne for one in the central case (tested from 0.8 to 1.2)

    Far‑end access time is held identical in every scenario, which is a conservative choice: it gives ALTO the benefit of the doubt at the Toronto and Ottawa ends.

    Two possible futures for today’s trains

    Every service level is tested twice, because the answer depends less on ALTO than on what happens to the service Kingston already has.

    Replacement

    ALTO becomes Kingston’s rail service to Toronto, Ottawa and Montréal, and conventional service is withdrawn or cut below a useful level. Trips to Belleville, Brockville, Cobourg, Napanee and Oshawa lose their train altogether.

    Both together

    Today’s service keeps running at present frequency and ALTO is added on top. Travellers pick whichever is cheaper in total, and only the improvement over the better of the two creates new trips.

    What is assumed rather than known

    Four inputs are estimates, not published data: the number of trips today, where those trips go, ALTO’s journey times (the alignment for this stretch has not been published), and where the station would be. All four appear on the list at the end of this brief. The model also applies a constant response to a very large change in trip cost, which is at the outer edge of where this method behaves well. The direction of the results is solid. The exact sizes are indicative.

    Result One

    Where the speed gain goes

    Start with today’s service and change one thing at a time. This is the clearest way to see why a faster train can still end up with fewer passengers.

    Table 3 · One change at a time

    StepAnnual tripsChangeEffect of this step
    Today’s service, as it runs450,000——
    Cut the Toronto run to 80 minutes, change nothing else496,000+10%+10 pts
    Cut stops from 18 a day to 8449,0000%−10 pts
    Add a 25 per cent fare premium403,000−10%−10 pts
    Move the station 27 minutes north376,000−17%−6 pts

    The second row is the entire value of high‑speed running time at Kingston: about 10 per cent. Each of the three things that come with it takes back as much or more. This calculation already leaves out trips to other corridor stations, which a high‑speed line cannot serve at any frequency.

    Result Two

    More trains cannot fix it on its own

    Suppose the number of stops is the thing that gets negotiated. Hold the station twenty‑seven minutes north and the fare 25 per cent higher, and vary how often ALTO calls.

    Table 4 · ALTO at a station 27 minutes north

    Stops a dayAnnual tripsChangeRangeIf today’s trains stay
    6359,000−20%−17% to −24%0%
    8376,000−17%−13% to −21%0%
    10387,000−14%−10% to −18%+0.2%
    18408,000−9%−4% to −14%+1.6%
    12 (six each way)394,000−12%−9% to −17%+0.5%
    16 (eight each way)404,000−10%−6% to −15%+1.3%
    20 (ten each way)411,000−9%−3% to −14%+1.9%

    The range covers the whole plausible span of the model’s assumptions, at a 25 per cent fare premium. The bottom three rows read six, eight and ten as stops each way, which is the most generous reading available. It improves the result without changing the sign. The last column is the “both together” case, where today’s service survives: ALTO then adds almost nothing, because travellers only switch when it is genuinely better for them.

    The fare premium matters more than the timetable

    Table 5 · What moves the answer

    Stops a dayNormal faresFares +25%Fares +40%Station 25 min outStation 45 min out
    6−12%−20%−24%−17%−23%
    8−8%−17%−21%−13%−20%
    10−5%−14%−19%−10%−17%

    The last two columns hold the fare premium at 25 per cent and vary the drive from the station to downtown; the central case is 27 minutes. Notice that going from normal fares to a 25 per cent premium costs more than doubling the distance to the station.

    How many trains would it actually take?

    The more useful question is what it would take for an out‑of‑town ALTO station to be no worse for Kingston than the service it already has. At normal fares the answer is nine stops a day for everyone. At a 25 per cent premium, the answer falls apart.

    Table 6 · Daily stops needed just to match today, Toronto trips

    Who is travellingAt normal faresAt a 25% premium
    Public sector and institutional (expensed)913
    Other business and leisure927
    Seniors, leisure, visiting family948
    Students and young adults9no number works

    Forty‑eight stops a day is a train every twenty minutes all day. For students, no frequency at all makes up for a distant station plus a premium ticket, because their time is worth less than the fare increase costs them.

    One case runs the other way and should be said plainly: expensed public‑sector travel between Kingston and Ottawa is better off under ALTO in every scenario tested, because today’s service on that pair is slow and indirect. It is a real gain, and it is a small share of the total.

    Under the friendliest assumptions available — normal fares, a station twenty‑five minutes out, today’s trains kept running alongside, ten stops a day — the best figure the model will produce for an out‑of‑town Kingston station is about +8 per cent. Getting there means giving up the premium pricing the revenue case depends on everywhere else.

    Result Three

    What if you just made today’s trains faster?

    Now reverse the test. Keep the existing station, keep eighteen stops a day, keep normal fares, and change nothing but speed on the existing route.

    Table 7 · Speed alone, from the existing station

    Toronto journey timeTime savedAnnual tripsChange
    135 min, as it runs today—450,000—
    118 min, reliable 160 to 177 km/h13%471,000+4.6%
    95 min, a 240 km/h conventional railway30%502,000+11.6%
    80 min, upper bound for this station41%525,000+16.6%

    The last row applies high‑speed running time to the existing station. It is there to separate speed from station location, frequency and fare, not as a proposal.

    The comparison that matters

    Eighty minutes to Toronto from the existing station, eighteen stops a day, normal fares: about +17 per cent. The same eighty minutes from a station twenty‑seven minutes out of town, eight stops a day, fares 25 per cent higher: about −17 per cent.

    The time on the train is identical. The two outcomes are thirty‑four points apart, and every one of those points is station location, frequency and fare.

    Speed gives diminishing returns

    Roughly speaking, every 1 per cent cut in journey time buys about 0.4 per cent more trips. A 30 per cent time saving buys about 12 per cent more passengers. For most of Kingston’s travellers, time on the train is a minority of what the trip really costs them — fare, getting to the station and waiting make up the rest, and speed does nothing about any of those. The gain concentrates where an hour is worth most: on a 95‑minute conventional railway, public‑sector travel grows about 17 per cent, business and leisure 13, seniors and leisure 12, students 10.

    A conservative figure, and a warning

    These figures are cautious. The response to journey time implied here is weaker than the rail literature usually finds, because the fare term in the calculation dampens it. Using a more standard figure, the same 30 per cent time saving would give about +22 per cent rather than +12. Table 7 should be read as a floor, with the 95‑minute case plausibly worth anywhere from +10 to +25 per cent. The comparisons earlier in the brief are unaffected, because they compare like with like.

    The warning is that fares erode the gain fast in either direction. Raising tickets 10 per cent to help pay for an upgrade cuts the benefit from about +12 per cent to about +7 — two‑fifths of the speed gain eaten by a 10 per cent fare rise. That is the same mechanism that sinks the high‑speed cases, working here on the alternative. It is an argument for funding an upgrade from capital rather than from the farebox.

    What It Means

    A stop is not the same as service

    Three things set whether Kingston gains or loses, and speed is not one of them: how far the station is from where people are actually going, what the ticket costs, and whether today’s trains survive. Frequency cannot rescue the result on its own. At eighteen stops a day, matching today, an out‑of‑town station at a premium fare still comes out around 9 per cent down.

    A public debate about whether Kingston gets a station, and how many trains stop there, is a debate about the wrong variables.

    The two things ALTO has said do not fit together

    A station justified by strong ridership, but served by a minority of trains, has its timetable set by the express service rather than by the demand used to justify it. Table 6 shows why that is not a workable compromise: the frequency needed to make the station work at a premium fare is far above what an express pattern tolerates. The usual international answer is two tiers, express and semi‑fast, which needs somewhere for fast trains to overtake at the intermediate station. Whether the cost estimate includes that overtaking capacity is a question with two possible answers, and both are informative.

    A conventional railway does better here

    A new conventional railway built for 240 km/h, running typically at 200, serves Kingston without moving the station, without the fare premium high‑speed operation needs, and without cutting the number of trains that stop. It captures a smaller share of the theoretical time saving and a larger share of the ridership. That is the trade the tables above quantify.

    What Would Change the Answer

    Three commitments, and four documents

    None of this is a prediction that a Kingston station must fail. The results turn on assumptions, and those assumptions are all things the project could settle.

    Would help
    A station much closer to the core, or a frequent connection to it that is committed and timed to the trains rather than hoped for.
    Would help most
    Normal fares on Kingston journeys. Table 6 shows this is the single decisive variable. A premium fare is what makes the arithmetic unrecoverable for students, seniors and leisure travellers.
    Would help
    A binding commitment that service on the existing line is maintained, which turns the replacement case into the both‑together case, plus a published timetable, so frequency becomes a fact instead of an assumption.

    Four things that should be published

    Before any of these figures are treated as more than an order of magnitude, four inputs should be replaced with real data:

    Not published
    Station‑level boardings and destinations. This alone would settle both the number of trips today and where they go. A matter for the operator.
    Not published
    The calling pattern assumed for the Toronto–Ottawa segment — how many trains actually stop, and where.
    Not published
    The fare structure for intermediate stations. On the evidence above, this matters more than anything else on the list.
    Not published
    The station location, with the assumed travel time from it to downtown Kingston.

    The first sits with the operator. The other three sit with the project and its joint project office, whose report and business case remain unpublished.

    The finding that matters

    It is not that a Kingston station would fail. It is that the service Kingston already has is the benchmark the project has never been asked to beat — and on the assumptions set out here, it does not beat it.

    How to read the numbers on this page

    Every number here other than the two quoted statements is output from our own model, built on the parameters listed in the full brief. Those parameters are assumptions, not measurements, and the four listed above as needing publication are the ones that move the result. The model is set out so that any parameter can be replaced and the arithmetic re-run: the direction of the findings holds across the ranges tested, the exact magnitudes are indicative.

    Where ALTO has not published something — a timetable, a station location, a fare — we say so rather than inferring it, and we make no claim about why it has not been published.

    Sources
    1.
    CBC News, “Kingston probably getting high-speed rail stop, says Alto CEO,” 22 July 2026 — interview with Martin Imbleau on CBC Radio’s Ottawa Morning. He says Kingston will probably receive a station, citing ridership, and that most ALTO trains would pass through without stopping, along with Laval and Trois-Rivières, to preserve express service between the larger cities. cbc.ca
    2.
    City of Kingston, Council Meeting Minutes 2026-06, 17 February 2026, Resolution 2026-73, carried as amended 9–2 — support for a southern route contingent on Highway 401 corridor development and on a stop being added in Kingston, as close to the urban core as possible. Examined in the companion brief Which Trains Stop in Kingston?
    3.
    Elasticity ranges: intercity frequency elasticities of +0.4 to +0.7 and journey-time elasticities of −0.6 to −0.9 are the conventional ranges in the rail demand literature, used here as reference values rather than as findings of this brief. The generalised-cost elasticity of −1.0 central, banded −0.8 to −1.2, is our own choice and is tested across that band throughout.
    4.
    Current journey times are as timetabled by VIA Rail. ALTO journey times are our assumption, since no alignment has been published for the Toronto–Ottawa segment.
    5.
    Queen’s University, 2025–26 Enrolment Report, as at 1 November 2025 — 28,561 full-time students, plus 1,704 part-time undergraduate, 1,389 part-time graduate and 931 online undergraduate, giving 32,585 in total. St. Lawrence College reports about 4,000 full-time equivalents at its Kingston campus. Royal Military College of Canada: 1,209 full-time and 587 part-time undergraduate, 276 full-time and 346 part-time graduate students, giving 2,418 in total. RMC’s part-time and graduate enrolment includes serving officers studying at a distance, so it is counted here on the same all-enrolment basis as Queen’s rather than as a resident population; on full-time enrolment alone the city total is about 38,000, and the ratio is about twenty-nine per hundred either way. macleans.ca queensu.ca (PDF)
    6.
    Statistics Canada, 2021 Census of Population — City of Kingston (census subdivision) 132,485; Kingston census metropolitan area 172,546, comprising the City of Kingston, South Frontenac, Frontenac Islands and Loyalist Township. statcan.gc.ca
    7.
    Comparators, on the same all-institutions basis where the data allow. Sherbrooke: about 40,000 students across eight institutions in a city of 172,950, roughly twenty-three per hundred residents. Guelph: 29,617 full-time equivalents at the University of Guelph in a city of 143,740, roughly twenty-one per hundred — a figure that excludes the Conestoga College campus and is therefore a floor. ocul.on.ca
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    Kingston’s ALTO Ridership Analysis (PDF)
    Full method, all thirty‑two market segments, sensitivity bands and break‑even calculations
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  • Introduction: What is HPR

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

    What is HPR?

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

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

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

    Three parts, one corridor strategy

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

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

    HPR — High Performance Rail · the framework

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

    HPPR — High Performance Passenger Rail · the spine

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

    HPFR — High Performance Freight Rail · the freight dimension

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

    The 10 Guiding Principles of HPR

    What HPR is built on

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

    A North American solution

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

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

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

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

    Travel Time, Not Speed

    The clock, not the speedometer

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

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

    The measure that matters

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

    The Price Lever

    Pricing for a car-centric market

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

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

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

    What HPR Is Not

    Neither political, nor all at once

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

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

    The Pitch

    A case built to be checked

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

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

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

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

  • High cost, low benefit claim

    High Cost, Low Benefit — For Whom?

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

    In short

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

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

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

    What the video claims

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

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

    It claims a cost convergence the record contradicts

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

    It never engages the alternative the Initiative proposes

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

    Tested Against the Record

    Three claims, three answers

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

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

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

    Estimated, not simulated

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

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

    Read the full record

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

    The Carbon Case

    A carbon debt, not a carbon saving

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

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

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

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

    Why the Gap Is Real

    The cost difference is structural, not arithmetic

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

    The Bottom Line

    High cost, low benefit — for whom?

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

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

    Sources

    Primary documents

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