A plain-language guide to how we evaluated the cost of the proposed ALTO high-speed rail line — starting from one simple rule that every railway in the world has to obey, and following it through to a number the government’s own claims do not match.
ALTO HSR Citizen Research Initiative · Financial Framework · Published May 2026
⚠ What this is
This is the readable version of a longer technical paper. The full document and slide deck show every calculation; this post explains, in everyday terms, what we did, why, and what we found — with no maths background assumed.
The short version: the project’s likely capital cost is roughly double what the government has stated; the trains cannot pay for themselves at any realistic ticket price; and the project’s headline ridership target of 24 million passengers a year sits outside the range that any comparable line has ever achieved.
The one idea to take away
Every operating railway in the world has a bill that has to balance every year. What it costs to build and run the line on one side; where the money to cover that comes from on the other. The money can only come from three places: ticket sales, a government subsidy, or value captured from land near the stations.
You can argue about any single number. What you cannot do is leave one side of the bill short. If a proponent quotes you a low cost and a high number of riders but never tells you the subsidy, the subsidy is simply the part of the bill they haven’t shown you — it doesn’t disappear. Our whole method is just: fill in every blank on the bill using independent evidence, and see what the missing number turns out to be.
Read in full
A Framework for Independent Evaluation of the ALTO HSR Project
The complete methodology, every rubric and dataset, and a slide deck version — all published and reproducible
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.
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?
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?
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
Citizen Research Initiative · Modal Shift Analysis · Note 3
The Ridership Envelope for the ALTO Corridor, 2035–2080
What can the corridor actually carry? Population times trips-per-resident times modal share, scaled by a realistic phased opening — and measured against ALTO’s published 24-million target and every other independent forecast.
ALTO HSR Citizen Research Initiative · Modal Shift Note 3 · Published May 2026
⚠ What This Note Examines
This note builds a 45-year ridership envelope from three multiplicands — corridor population, per-capita intercity trips, and ALTO’s modal share under three fare-and-subsidy regimes — using the modal-shift machinery from the two companion notes on rail–air and rail–car substitution, and scaling the result by ALTO’s announced three-phase opening.
The resulting envelope is then compared against ALTO’s published forecasts, the McGill TRAM stated-preference projection, the Munk School GEPL model, the C.D. Howe scenario analysis, and the federal government’s own 2021 Joint Project Office business case.
Summary
The corridor population baseline is about 14.9 million across the directly-served CMAs in 2025. The 2024–25 federal cap on non-permanent residents produced a structural inflection — Toronto’s CMA shrank by ~1,000 people in 2024–25 after gaining 269,000 the year before — creating a credible lower trajectory (0.5%/yr) that did not exist in pre-2024 forecasts and bounding the upper trajectory (1.6%/yr) below pre-2024 expectations.
Three regimes span the policy envelope: heavy subsidy ($2.5–4.5B/yr, ~38–42% capture), moderate subsidy at parity with air ($1.5–2.5B/yr, ~28–32% — the canonical business-case configuration), and minimal subsidy under P3 yield management ($0.5–1.5B/yr, ~20–23%). The combined envelope at mature operation runs from 6.1 to 25.7 million by 2080, central case 12.5 million. The 2055 reading — ALTO’s headline year — is 3.7 to 17.2 million, central case 9.2 million; the corridor is not yet at mature operation in 2055 under the announced phasing.
ALTO’s published 24-million-by-2055 figure sits ~40% above the upper bound for 2055 and is incompatible with the announced phasing under any plausible ramp curve. Every forecast built from a disclosed methodology — TRAM, Munk GEPL, the federal JPO — sits within or close to the CRI envelope. ALTO’s published targets are the outlier against every other forecast for the corridor.
Download
Modal Shift Note 3 — Ridership Envelope Research Note (PDF)
The full note with all figures and tables: the population trajectories, the three regimes, the phasing and ramp framework, the 2035–2080 envelope, and the comparison with every published forecast
ALTO’s annual ridership in any year is the product of three quantities: the corridor population served, the average number of intercity trips each resident makes per year across air, rail and car, and ALTO’s share of those trips. Forecasting ridership therefore means forecasting each multiplicand and combining their realistic ranges into an envelope of outcomes.
The two companion notes supply the modal-share machinery. Note 1 derives the air-substitution S-curve and locates the corridor’s three rail scenarios on it at travel time and price. Note 2 extends the framework to road–rail under a North American calibration anchored on VIA’s 13% rail share against road, and develops the price-ratio, group-size, gas-price and reliability sensitivities. What the two notes do not provide is the population denominator that converts share into absolute volume, the per-capita trip generation that scales the market with demographic change, the temporal phasing that distinguishes opening-year from mature ridership, and the explicit fare-and-subsidy regimes. This note adds those four pieces.
Ridership = corridor population × intercity trips per capita × ALTO modal share, scaled by ramp-up. Each multiplicand has a defensible range. The envelope combines them.
2 · Population
The baseline and the 2024 demographic break
ALTO directly serves CMAs from Toronto to Québec City. The 2025 baseline is about 14.9 million — Toronto (7.10M), Montréal (4.62M), Ottawa-Gatineau (1.55M), Québec City (0.86M), plus the smaller served centres (~0.8M combined).
The 2024–25 demographic year produced a structural inflection. The federal Immigration Levels Plan announced in October 2024 was the first to cap temporary residents, requiring a multi-year drawdown. The effect on the two largest CMAs was immediate: Toronto’s CMA shrank by ~1,000 people in 2024–25, following a gain of 269,000 the year before, and Greater Golden Horseshoe growth collapsed from ~313,000/yr to ~40,000. This is a structural break from the baseline pre-2024 forecasts assumed — it invalidates the linear extrapolation of the 2022–24 surge.
Table 1. Three population trajectories for the directly-served corridor CMAs, anchored on the 2025 baseline of ~14.9M. The central trajectory is the working assumption for the envelope; the upper and lower trajectories define the population-side bounds. Anchored on StatCan’s January 2026 projections (LG / M1 / HG scenarios) with a ~0.4-point corridor-CMA growth premium.
Trajectory
Annual growth
2050
2080
Driver
Lower
0.5%
16.9M
19.6M
NPR drawdown is structural; aging accelerates
Central
1.0%
19.1M
25.7M
NPR drawdown is one-off; immigration normalises
Upper
1.6%
22.2M
35.6M
Pre-2024 pace partly resumes after political cycle
Figure 1. Corridor population trajectories, 2025–2080, comparing pre-2024 (dashed) and post-2024 (solid) demographic assumptions on the same axis. The dashed lines represent the population input comparable published forecasts used; the solid lines reflect the 2024 federal cap and the StatCan data released January 2026. By 2080 the gap is striking — ~50M vs 35.6M (upper), 33.8M vs 25.7M (central), 23.1M vs 19.6M (lower). The post-2024 upper trajectory sits below the pre-2024 central across much of the horizon. Roughly 15 to 25% of the gap between the CRI envelope and the other forecasts is attributable to this single demographic correction alone.
The trajectories are anchored on Statistics Canada’s official projections (released 27 January 2026), with a ~0.4-point corridor-CMA growth premium reflecting the directly-served CMAs’ historically faster growth — population-weighted ~1.8%/yr over 2000–2025 against the national 1.23%, moderated for Quebec’s projected demographic-weight decline and the Western redirection of interprovincial migration. The 0.4-point premium is a deliberately conservative reading, chosen so the envelope is not vulnerable to the argument that it underweights the corridor’s growth advantage.
3 · Trip Generation
Per-capita intercity trips
The three principal pairs together carry ~19.9 million annual person-trips across air, rail and car (Note 2). Adding the secondary pairs and intermediate-station traffic brings the addressable market to about 25 million annual person-trips — against a 2025 population of 14.9 million, a per-capita rate of about 1.68 trips per resident per year.
Over a 45-year horizon, competing effects roughly cancel. Hybrid work has structurally reduced corridor business travel below the pre-pandemic baseline, and AI-mediated meetings continue to erode marginal demand for in-person business travel — the literature consistently finds business travel adjusts more elastically to communication technology than leisure travel does. On the supporting side, urbanisation, economic concentration into the corridor, and rising affluence in the secondary centres lift demand. The net effect is roughly stable to mildly declining; this note uses a range of 1.6 to 1.8 trips per capita, central case ~1.7.
4 · Modal Share by Regime
Three fare-and-subsidy regimes
ALTO’s share of the addressable market is the third multiplicand — and the dimension on which the corridor decision turns most directly. The aggregate share is a weighted blend across air, current rail and car markets on the three principal pairs, with realistic group composition (a mix of solo, couple and family travellers) rather than the solo-traveller readings that anchor the time-and-price geometry.
A
Heavy operating subsidy — low fares
Fares at VIA-equivalent levels (rail-to-air ratio 0.4–0.5; per-person rail-to-car ~1.0 solo), capital absorbed into the public account. Annual subsidy $2.5–4.5 billion. Captures ~85% of the air market, ~100% of existing VIA demand, ~22% of the rail+car market on a group-weighted basis. Aggregate share: ~38–42%.
B
Moderate subsidy — parity with air (canonical)
Fares at parity with air (rail-to-air ratio ~1.0; per-person rail-to-car ~2.0–2.4 solo). Annual subsidy $1.5–2.5 billion. Captures ~70% of air, ~95% of existing VIA demand, ~9–11% of rail+car. Aggregate share: ~28–32%. This is the configuration under which the 24-million headline is implicitly framed.
C
Minimal subsidy — P3 yield management
Fares above air parity (rail-to-air ratio 1.1–1.4; per-person rail-to-car 3–4 solo, above 12 for a family of four). Annual subsidy $0.5–1.5 billion — still positive, because the fully self-funded P3 model is not survivable arithmetic at any modal share consistent with the framework. Captures ~50% of air, ~80% of existing VIA demand, ~4% of rail+car. Aggregate share: ~20–23%.
Table 2. Three fare-and-subsidy regimes, with implied modal capture and aggregate share of corridor person-trips. The factor-of-two range across regimes operates independently of the infrastructure choice — the same physical asset produces double or half the ridership depending on the fare-and-subsidy decision. No regime delivers self-funding at any modal share consistent with the framework.
Regime
Fare structure
Annual subsidy
Air capture
Car capture
Aggregate share
A — Heavy
T–Mtl ~$80–130; rair ≈ 0.4–0.5
$2.5–4.5B/yr
~85%
~22%
38–42%
B — Moderate
T–Mtl ~$150–220; rair ≈ 0.9–1.0
$1.5–2.5B/yr
~70%
~9–11%
28–32%
C — Minimal
T–Mtl ~$220–350+; rair ≈ 1.1–1.4
$0.5–1.5B/yr
~50%
~4%
20–23%
5 · Phasing & Ramp
Opening-year is not mature-year
Ridership in any specific year depends on three timing variables: the construction schedule, the segment opening sequence, and the ramp curve on each opened segment. The 2026–2034 period is consumed by consultation, environmental assessment, expropriation, design, P3 negotiation and enabling works — none of it revenue service. Canadian P3 megaproject experience (Eglinton Crosstown, Confederation Line, Ontario Line) suggests timelines slip rather than compress; the earliest plausible phased opening is ~2038, central scenario closer to 2040.
Phase 1 — Montréal–Ottawa
Opens first: shortest (~190 km), simplest engineering, but the smallest pair. Serves only the Ottawa–Montréal demand pool (~20% of corridor) — it cannot draw Toronto flows because Toronto isn’t connected yet. Early-year ridership is structurally small.
Phase 2 — Toronto extension
The demand inflection point. Adds ~450 km and unlocks Toronto–Ottawa and Toronto–Montréal — ~60% of corridor demand. Cumulative Phase 1+2 coverage is ~80%: the full Toronto–Ottawa–Montréal triangle. Plausible window 2042–2046.
Phase 3 — Québec City extension
The most schedule-vulnerable: the St-Lawrence crossing, Leda clay risk, an unsettled routing, and an unresolved federal-provincial cost-share with Québec. Adds the final ~20%. Window 2047–2052, with a credible permanently-deferred scenario.
The ramp curve in the North American context is meaningfully slower than European comparators. Madrid–Barcelona took ~4 years to decisively overtake the air bridge, under conditions far more favourable to rail than ALTO faces; Brightline Miami–Orlando remains in financial ramp-up with bond ratings downgraded to CCC+. The envelope is calibrated against the Brightline profile for the lower and central cases and Madrid–Barcelona for the upper case.
Table 3. Ramp factors applied to each opened segment — the fraction of that segment’s mature ridership realised in each year post-opening. Regime C (yield management) ramps slowest; Regime A (low fares) fastest. Applied separately to each phase, with each segment’s clock starting from its own opening year.
Years post-opening
Lower (Regime C)
Central (Regime B)
Upper (Regime A)
Year 1
15%
25%
35%
Year 3
35%
50%
65%
Year 5
55%
70%
80%
Year 8
75%
85%
92%
Year 10+
90%
95%
100%
Table 4. Phase opening schedule by scenario. The fare-and-subsidy regime correlates with delivery pace: heavily-funded projects face political pressure for early openings and federal cost-overrun absorption removes renegotiation friction; lean P3 structures slip. Phase 3 moves most widely because of the St-Lawrence crossing and the Québec cost-share. Defensible bounds extend each year by ±2–3.
Scenario
Regime
Phase 1 (Mtl–Ott)
Phase 2 (Ott–Tor)
Phase 3 (Mtl–QC)
Lower
C — minimal
2042
2048
2055
Central
B — moderate
2040
2045
2050
Upper
A — heavy
2038
2042
2046
Under the central scenario, the corridor is at ~29% of mature potential in 2045, ~65% in 2050, and ~88% in 2055 — genuine full-corridor maturity is not reached until around 2060. ALTO’s 24-million-by-2055 figure is incompatible with the announced phasing under any plausible ramp curve: the corridor cannot be mature in 2055 if Phase 3 only opens in 2050. If Phase 3 is permanently deferred but Phases 1–2 complete, mature ridership is ~4.9 to 20.5 million across regimes — the more credible of the downside readings given Québec’s negotiating position.
6 · The Envelope
Ridership, 2035–2080
Combining population, trip generation, regime and phasing produces the envelope below. The lower bound combines Regime C with the lower population trajectory and 1.6 trips/capita; the central case combines Regime B with the central trajectory and 1.7; the upper bound combines Regime A with the upper trajectory and 1.8 — each paired with its corresponding ramp curve and opening schedule.
9.2M
CRI central case at 2055 (Regime B)
3.7–17.2M
Full 2055 envelope across regimes and demographics
24M
ALTO’s published 2055 target — ~40% above the upper bound
Table 5. ALTO annual ridership envelope, 2035–2080, in millions, with the three-phase opening sequence and ramp applied. Lower: Regime C × lower population × 1.6 trips/cap. Central: Regime B × central × 1.7. Upper: Regime A × upper × 1.8. The 2040 figures reflect Phase 1 alone; 2045 reflects Phase 2 just opening; 2050 reflects Phase 3 just opening. Full-corridor maturity is reached around 2060, not 2055.
Year
Status
Lower (M)
Central (M)
Upper (M)
2035
Construction; no revenue service
0
0
0
2040
Phase 1 (Mtl–Ott) opening years
0
0.4
1.8
2045
Phase 1 maturing; Phase 2 opens
0.5
2.8
9.2
2050
Phase 1+2 maturing; Phase 3 opens
1.9
6.7
14.8
2055
Phase 1+2 mature; Phase 3 ramping
3.7
9.2
17.2
2060
All phases near-mature plus growth
4.8
10.2
18.7
2070
Mature plus sustained growth
5.8
11.3
21.9
2080
Mature plus full forecast growth
6.1
12.5
25.7
Figures 2a–2c plot the year-by-year trajectory under each regime separately. Within each figure, the three lines are the demographic trajectories; the spread within a figure shows demographic uncertainty, and the spread across the figures shows the fare-and-subsidy choice — a policy decision, not an infrastructure one. The 24-million target is marked on each as a reference.
Figure 2a. Regime A (heavy subsidy, VIA-equivalent fares, $2.5–4.5B/yr). Aggregate share 38–42%. Phase openings 2038/2042/2046. The 2055 readings are 11.0 / 13.6 / 17.2M; the 2080 readings 12.5 / 17.5 / 25.7M. Even the most favourable combination — Regime A with upper demographic growth — leaves the 24M target ~40% above the trajectory at 2055.Figure 2b. Regime B (moderate subsidy, parity with air, $1.5–2.5B/yr) — the canonical configuration under which the published business case is implicitly framed. Aggregate share 28–32%. Phase openings 2040/2045/2050. The 2055 readings are 7.4 / 9.2 / 11.6M; the 2080 readings 8.9 / 12.5 / 18.3M. The target sits above the achievable range by a factor of ~2.1 to 3.2 at 2055.Figure 2c. Regime C (minimal subsidy, P3 yield management, fares above air parity, $0.5–1.5B/yr) — the configuration most consistent with the consortium’s announced commercial structure. Aggregate share 20–23%. Phase openings 2042/2048/2055. The 2055 readings are 3.7 / 4.6 / 5.8M; the 2080 readings 6.1 / 8.5 / 12.4M. Even the upper demographic falls below the McGill TRAM projection at 2055.
Three patterns emerge. The regime choice (a policy lever) shifts 2080 central ridership by a factor of ~2 — 17.5M (A), 12.5M (B), 8.5M (C). The demographic choice shifts it by another factor of ~2 — 12.5M (lower) to 25.7M (upper) under Regime A. And the 24-million target sits above every plausible 2055 trajectory in every figure: the closest reading, Regime A with upper growth, produces 17.2M — 28% below the target. Reaching 24M by 2055 requires the most favourable regime, a demographic trajectory above the upper case, and a corridor fully mature by 2055 — three conditions that cannot all hold under the announced phasing. The Regime A upper trajectory does reach the 24M neighbourhood — but a full quarter-century later, in 2080.
7 · Comparison
ALTO’s target is the outlier
The CRI envelope can be placed alongside the other published forecasts for the same corridor. The pattern is unambiguous: every forecast built from a disclosed methodology clusters near the CRI envelope, and ALTO’s public targets stand alone above all of them.
Table 6. Published and modelled ridership forecasts for the corridor. Not strictly comparable across columns — ALTO’s 2055 figure assumes full-corridor completion well before 2055; the Munk GEPL figures are Toronto–Montréal scaled to a corridor equivalent; C.D. Howe applies sensitivity analysis to VIA’s forecasts; the JPO 2021 figure is for the predecessor HFR 177 km/h spec. The pattern is robust: every disclosed-methodology forecast sits within or close to the upper end of the CRI envelope, and well below the ALTO public targets.
Source
Method
By 2050
By 2055
By ~2080–85
ALTO public targets
Not disclosed
—
24M (2055)
43M (2084)
ALTO Corporate Plan
Treasury Board filing (incl. Local Services)
—
17M (2059)
—
McGill TRAM
Stated-preference survey, n ≈ 8,300
10.5M
—
~19.7M (yr 50)
Munk School GEPL
Disclosed logit with induced demand
~16–17M
~18–19M
—
C.D. Howe
Scenario analysis on VIA’s forecasts
12–21M
—
—
Federal JPO 2021
Pre-procurement business case (HFR spec)
~13.5M
—
—
Flyvbjerg adjustment
ALTO −65% reference class
—
8.4M (from 24M)
15M (from 43M)
CRI envelope
Modal-shift × population × regime
1.9 / 6.7 / 14.8
3.7 / 9.2 / 17.2
6.1 / 12.5 / 25.7
The dispersion among the disclosed-methodology forecasts is narrow — TRAM at 10.5M by 2050, Munk GEPL at 16–17M corridor-equivalent, the JPO 2021 at 13.5M, and C.D. Howe’s 12–21M range all sit in the same zone. The CRI central case sits on the conservative side of this cluster; the CRI upper bound sits centrally within it. The dispersion between the cluster and ALTO’s public targets, by contrast, is wide: the 24-million figure is ~40% above the CRI upper bound for that year, more than double the TRAM number, and 14% above the top of the C.D. Howe range. Notably, ALTO’s own Corporate Plan figure of 17M by 2059 — filed with Treasury Board — is ~30% below its public 24M figure and closer to the CRI upper bound; the reconciliation of the two ALTO figures is not publicly disclosed.
Every forecast for the corridor built from a disclosed methodology — TRAM survey, Munk GEPL logit, federal JPO business case — sits within or close to the CRI envelope. ALTO’s 24-million public target sits 40 per cent above the upper bound at 2055 and is the outlier in the published literature.
8 · Why the Gap
Why the CRI envelope sits below the cluster
The CRI central case sits below the disclosed-methodology cluster, and its upper bound sits centrally within it. This is not a forecasting error in those studies — they were built for different purposes, finalised on different timelines, and applied different assumptions where the modal-shift literature offers latitude. Six factors account for the bulk of the divergence, in roughly descending order of impact.
1. The 2024 demographic inflection is post-cutoff for every other forecast
The single largest source. Every published forecast was finalised before the federal NPR caps produced observable effects. The January 2026 StatCan data was not available to any of them. ~15–25% of the gap, before any other consideration.
2. North-American modal-shift recalibration
The comparators use European-anchored elasticities. Note 2 recalibrates the rail–car curve against VIA’s ~13% road share, shifting the inflection from τ₀ = 0.65 to 0.46. ~15–25% of the gap, largest on the road-substitutable share.
3. Explicit phased opening
The CRI envelope models each phase’s own opening date and ramp; the comparators assume an implicit step-change to maturity. ~30–40% of the gap at the 2050–2055 horizon specifically, converging by 2070–2080.
4. Group-composition weighting
Family and 3+ travel essentially cannot be captured by rail at any defensible fare. Most models use an average traveller; the CRI weights across realistic solo/couple/family proportions. ~5–15% of the gap, largest on the car-substitutable share.
5. Canadian P3 vs European open-access pricing
Madrid–Barcelona’s gains came from open-access competition (25–50% fare cuts). The Cadence monopoly concession, with Air Canada’s equity stake, eliminates that mechanism. ~10–20% of the gap, largest on the lower-end scenarios.
6. Bottom-up vs top-down or stated-preference
ALTO’s targets are top-down (subject to the Flyvbjerg ~65% optimism bias); TRAM is stated-preference (overstates realised behaviour). The CRI is built bottom-up from observed VIA shares. ~5–15% of the gap, operating as a multiplier on the rest.
Taken together, the six factors are not independent surprises pushing the same way — they are mostly visible to the other forecasts too, but each embedded different assumptions where the literature offers latitude. The CRI envelope’s central case sits below the cluster because it applies all six defensible positions at once; its upper bound, by construction, relaxes the unfavourable end of each while staying internally consistent, and sits centrally within the cluster. By 2080, when the demographic, phasing and ramp factors have all played out, the CRI upper bound of 20.7M sits in the centre of the published cluster’s mature-state range. None of the comparators is wrong; each answers a different question. The CRI envelope answers a sixth: what realised annual ridership is consistent with current empirical evidence, the announced phasing, and the modal-shift literature applied to the Canadian context.
Download Full Note
Modal Shift Note 3 — Ridership Envelope Research Note (PDF)
Reference document with the full framework, all six tables, the four figures, and the complete source list
Statistics Canada (27 January 2026). Population projections for Canada (catalogue 17-20-0003; dashboard 71-607-X-2022015), LG / M1 / HG scenarios. — and the 2024–25 demographic estimates and the federal Immigration Levels Plan (October 2024) cap on non-permanent residents.
2.
El-Geneidy, A. et al. — Transportation Research at McGill (TRAM), stated-preference corridor projection (March 2026), n ≈ 8,300. tram.mcgill.ca
3.
Munk School Global Economic Policy Lab, University of Toronto — disclosed logit corridor model with induced demand.
4.
Jones & Fariha (February 2025). All Aboard. C.D. Howe Institute scenario analysis. cdhowe.org
5.
Federal Joint Project Office (2021) pre-procurement business case (HFR 177 km/h specification), released through Access to Information, November 2025.
6.
Flyvbjerg, B., Holm, M.S. & Buhl, S. — meta-analysis of rail-project ridership forecast accuracy (mean ~65% overstatement).
7.
VIA Rail Canada Annual Report 2023; corridor person-trip volumes and modal shares as developed in Note 2, Table 1. — and Brightline Florida (2024–2026) ridership reports and KBRA bond rating actions; Madrid–Barcelona AVE ramp and open-access pricing record.
8.
ALTO public communications (the Imbleau / Fast Forward 24- and 43-million figures) and the ALTO Corporate Plan filed with Treasury Board (17M by 2059, including Local Services).
What the published 24-million target implies for how many travellers must abandon air and car for the train — and what the modal-shift evidence, the demographic baseline, and the operating-subsidy frontier say is actually reachable on the corridor.
ALTO HSR Citizen Research Initiative · Modal Shift & Ridership Brief · Published May 2026
⚠ What This Brief Synthesises
This brief draws together four CRI research notes — on rail–air substitution (Note 1), rail–car substitution (Note 2), the ALTO ridership envelope (Note 3), and the operating-subsidy frontier (Note 4) — into a single test of one number: ALTO’s published target of 24 million annual passengers by 2055.
Each note is built from the same starting point as the proponent’s own forecasts, but corrected for two things older studies omit: the North-American calibration of modal-shift behaviour, and the 2024 federal cap on non-permanent residents that broke the corridor’s demographic trajectory.
Headline Finding
ALTO’s published target of 24 million annual passengers by 2055 sits 2.6× above the CRI central case of 9.2 million, and is incompatible with every other independent forecast for the corridor.
The gap is not a matter of optimism versus pessimism. Reaching 24M requires a modal share above the ceiling the modal-shift curves allow in a North-American setting; it assumes a population trajectory the federal government’s own immigration policy has already foreclosed; and pushing ridership toward the target through deeply discounted fares drives operating subsidy past $5 billion a year. The target fails three independent feasibility tests at once.
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
Note 4The operating-subsidy frontier — the trilemma of ridership, subsidy and P3 break-even, and why 24M sits off the frontier
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.
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.
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?
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?
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.
Download Full Deck
ALTO Ridership Against the Modal-Shift Evidence (PDF)
Reference deck for federal decision-makers, parliamentarians, journalists, and residents along the corridor
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.
Citizen Research Initiative · Modal Shift Analysis · Note 1
Modal Shift Between High-Speed Rail and Air on the ALTO Corridor
When does rail substitute for air — and how much of that substitution does ALTO’s 300+ km/h capability actually buy, once the price of the ticket is admitted into the analysis?
ALTO HSR Citizen Research Initiative · Modal Shift Note 1 · Published May 2026
⚠ What This Note Examines
This note applies the international evidence on rail–air substitution to the two corridor pairs that account for the bulk of air-substitutable demand — Toronto–Ottawa and Toronto–Montréal — and compares three scenarios on both travel time and price: current VIA Rail service, a High Performance Rail (HPR) alternative at 200 km/h, and ALTO at 300+ km/h.
The headline question is not whether modal shift happens — the evidence is clear that it does — but where the modal-shift returns sit on the curve, and whether ALTO’s incremental speed is a cost-effective way to capture them.
Summary
The international literature converges on a logistic S-curve: rail captures the majority of the combined rail+air market on city pairs with station-to-station times of two to four hours, and rail’s share collapses rapidly above five hours. Both principal Toronto pairs fall inside that competitive zone under any modern dedicated-track scenario.
The majority of the achievable modal shift on each pair is captured by moving from VIA’s current shared-track service to a dedicated, electrified HPR corridor at conventional 200 km/h speeds. ALTO’s additional 300+ km/h capability captures a further 19 to 20 percentage points at price parity — a real but residual gain.
Once price enters the analysis, the picture shifts. Under canonical price assumptions — VIA at r ≈ 0.5, HPR at r ≈ 0.7, ALTO at r ≈ 1.0 — ALTO’s apparent 19–20-point time-only advantage shrinks to 11–13 points on the principal Toronto pairs. The cost-per-point of that incremental modal shift is several billion dollars; the cost-per-point of the larger HPR step that precedes it is much lower.
Download
Modal Shift Note 1 — Air–Rail Research Note (PDF)
The full 16-page note with all seven figures, the segment-level travel-time and price analysis, and the methodology and sources
The empirical literature on rail–air substitution converges on a consistent set of travel-time thresholds. Studies in Europe, China and Japan identify a competitive break-even of roughly 400 to 600 km (about 2 to 3 hours door-to-door) for short-haul routes, beyond which aviation begins to regain a time advantage. Medium-distance corridors of 600 to 1,100 km show the greatest demand elasticity. Long-haul segments above 1,400 km show minimal substitution — typically below 10 per cent.
The mechanism is the door-to-door time calculation. Below roughly 700 km, the overhead of reaching the airport, checking in, clearing security, boarding, taxiing and reaching the destination city centre adds enough that total air journey time matches or exceeds high-speed rail. Above this distance, air’s faster line-haul speed begins to dominate, and rail’s share falls steeply once journeys exceed about 4.5 hours.
This relationship is conventionally modelled as a logistic S-curve. The shape is characteristic: under two hours rail captures essentially the entire air market; between three and four hours rail typically captures 60 to 80 per cent; between four and five hours rail’s share collapses; above five hours rail captures only a residual share. Frequency, station centrality, fare structure and reliability shift the curve up or down by several points but do not change its overall shape.
Figure 1. Modal-shift S-curve showing rail’s share of the combined rail+air market as a function of station-to-station rail journey time. Logistic curve fitted with inflection at 3.5 hours and steepness parameter k = 1.3. A short-haul band below 2 hours where rail dominates; a competitive zone between 2 and 4 hours where infrastructure investment can decisively shift modal share; and a long-haul band above 4 hours where rail’s share collapses. All major HSR services in the competitive zone achieve rail shares of 70 to 85 per cent on the rail-vs-air pair.
Empirical anchors
Three European routes anchor the baseline. On Paris–Lyon, the TGV cut travel time from almost four hours to about two; rail’s share of the rail+air market rose from 40 to 72 per cent, while air collapsed from 31 to 7 per cent. On Madrid–Seville (471 km, completed 1992), rail share rose from 16 to 52 per cent of all modes. The Madrid–Barcelona AVE — at 621 km and 2 h 30 min the cleanest modern parallel to ALTO’s longer pairs — now carries roughly 75 per cent of travellers on the rail-vs-air pair.
Asian comparators reach further. The 2019 World Bank review found Chinese 350 km/h services remain competitive with air up to about 1,200 km. Beijing–Shanghai (1,318 km, 4 h 18 min) is the canonical case where high frequency and operating speed maintain rail dominance at distances that would normally favour air; Tokyo–Osaka (552 km, 2 h 22 min) is another textbook 80+ per cent rail-dominant pair.
Rail wins decisively under three hours, competes strongly at three to four hours, and degrades rapidly after that — with high frequency and central-station access being decisive variables alongside line-haul time.
2 · Price
The elasticity factor
The S-curve in Figure 1 holds prices implicitly at parity. Real modal choice is two-dimensional: passengers weigh both time and price, and the relative price of rail to air shifts the entire curve up or down. A logit choice model with a price-utility term captures this directly — each doubling of the rail-to-air price ratio shifts the curve’s inflection point earlier by an amount that depends on the price coefficient.
Figure 2. Family of modal-shift S-curves at six rail-to-air price ratios (r = rail price ÷ air price). The middle navy curve is the r = 1.0 parity case from Figure 1. Curves above it show rail priced below air — the whole curve lifts; curves below show rail priced above air, and a corresponding loss of share. The shift is symmetric in log-price.
How to read the chart
The simplest use of Figure 2 is as a lookup. Pick a travel time, pick the curve matching the route’s price ratio, and read off the predicted share. A 3-hour journey at parity (r = 1.0) sits at roughly 60 per cent; the same journey at half the air fare (r = 0.5) sits closer to 75 per cent; at 1.5× the air fare (r = 1.5) it drops to around 45 per cent. A faster service at a higher price can deliver lower share than a slower service at a lower price — the family shows how the two effects combine.
Price sensitivity differs by traveller
Business travellers show much lower price sensitivity than leisure travellers — elasticities of roughly −0.4 to −0.7 for business against −1.0 to −1.6 for leisure. Each curve is really a weighted average of a flatter business curve and a steeper leisure one.
Air’s connecting-flight advantage
Air retains a structural edge the simple model misses: the connecting-flight network. Travellers continuing to long-haul destinations face mode-switching friction at the hub. The modal-share envelope should be read as a ceiling for the rail-substitutable portion of the market, not the air market as a whole.
On the empirical side, the high-share international routes combine competitive times with rail fares well below air: Madrid–Barcelona AVE Básico fares of €40–70 against air fares of €100–200 put the price ratio in the 0.4–0.6 band. Tokyo–Osaka is the contrasting case — prices roughly comparable (0.7–0.9), but central-station access and reliability sustain rail dominance without a price advantage.
Modal share depends on time, price, traveller type, and itinerary structure. The family of S-curves captures the first two; the third and fourth shift the realistic envelope further.
3 · Travel Time on the Corridor
Where the corridor sits on the curve
The corridor is not a single market. It is a sequence of overlapping city pairs whose distances place each segment in a different position on the curve. The bulk of air-substitutable demand is concentrated in two pairs: Toronto–Ottawa and Toronto–Montréal. The Toronto–Montréal air market alone runs 900,000+ annual seats. ALTO’s published target times — about 2 hours Toronto–Ottawa and just over 3 hours Toronto–Montréal — both fall inside the zone where international comparators capture 70 to 90 per cent of the rail+air market.
VIA’s existing Corridor service sits well outside that zone. Toronto–Montréal averages 5 h 13 min over 538 km; Toronto–Ottawa runs 4 to 4.5 hours. Trains are limited to 160 km/h on track shared with CN freight — the principal cause of both slow line-haul speed and poor reliability (on-time performance around 67 per cent as of 2021). Yet the Corridor is VIA’s commercial backbone, contributing 81 per cent of revenue and 95 per cent of ridership.
Table 1. Indicative travel times for the principal corridor city pairs under each scenario. HPR values are Express journey times published in the CRI HPR Strategy (a dedicated, electrified 401-corridor mainline at 200 km/h); ALTO values are the published targets for the 300+ km/h network. *Toronto–Montréal under current VIA service runs 5 h 13 min on the 538 km direct routing.
City pair
Distance
VIA current
HPR (200 km/h)
ALTO (300+ km/h)
Toronto–Ottawa
~450 km
~4 h 30 min
~2 h 55 min
~2 h
Toronto–Montréal
~540 km
5 h 13 min*
~3 h 38 min
~3 h
Ottawa–Montréal
~190 km
~1 h 55 min
~1 h 30 min
~1 h
Plotted onto the S-curve, these times produce three pictures. Each panel highlights the two principal Toronto pairs under one scenario; the contrast between panels traces the modal-shift trajectory at price parity as corridor infrastructure improves.
Figure 3a. Current VIA Rail service. Both principal Toronto pairs sit well below the inflection point: Toronto–Ottawa at ~4 h 30 min captures around 21% of the rail+air market, and Toronto–Montréal at 5 h 13 min around 10%. The corridor’s air-substitutable demand is structurally outside the competitive zone.Figure 3b. High Performance Rail at 200 km/h on a dedicated, electrified 401-corridor mainline (CRI HPR Strategy Express times). Toronto–Ottawa moves to ~68% rail share at price parity; Toronto–Montréal to ~46% — across the inflection but still in the steeper portion of the curve.Figure 3c. ALTO at 300+ km/h on a dedicated 1,000 km HSR network (published targets). Toronto–Ottawa moves onto the upper plateau at ~88% rail share at price parity; Toronto–Montréal to ~66% — still on the steeper portion, where additional time savings continue to produce meaningful gains.
Table 2. Predicted rail share of the combined rail+air market on each principal pair under each scenario, derived from the logistic curve in Figure 1 with prices held at parity. Order-of-magnitude estimates; actual shares would also depend on fare structure, frequency, reliability, station accessibility, and traveller mix.
City pair
VIA current
HPR (200 km/h)
ALTO (300+ km/h)
Toronto–Ottawa
~21%
~68%
~88%
Toronto–Montréal
~10%
~46%
~66%
These are the time-only readings — what each scenario would deliver if its fares matched air. In practice, fares depend on capital structure, and the three scenarios sit at quite different points on the price axis.
4 · Price on the Corridor
Where the corridor sits on the price axis
Current VIA Toronto–Montréal Economy fares of $80–120 against Air Canada fares of $200–400 put VIA at a price ratio of roughly 0.5 — the same band as Madrid–Barcelona. The structural fare advantage is already in place; the binding constraint on current rail share is travel time, not price.
Whether each new-build scenario preserves a fare advantage depends on capital-cost recovery. The CRI HPR Strategy estimates corridor capital in the order of $19 million/km — roughly $19–25 billion for the full Windsor–Montréal programme — producing annual debt service of $1.0–1.3 billion. Under the standard public-infrastructure subsidy model, HPR fares could plausibly sit at a modest premium over current VIA, placing HPR at r ≈ 0.7. ALTO’s $60–90 billion envelope produces debt service three to four times higher; under a fare cap holding the ratio at parity, ALTO settles at r ≈ 1.0, with subsidy absorbing the capital-cost gap.
For the corridor’s three scenarios, plausible operating price ratios are: VIA at r ≈ 0.5 (current subsidised rail), HPR at r ≈ 0.7 (modest premium, partial capital recovery), ALTO at r ≈ 1.0 (parity with air, subsidy absorbing the larger debt-service gap).
Figure 4. Modal share as a function of rail-to-air price ratio, with each scenario’s travel time held fixed at its published value. Markers indicate the canonical operating ratio: VIA at r = 0.5, HPR at r = 0.7, ALTO at r = 1.0. The vertical separation between lines shows how much share is driven by infrastructure; the slope of each line shows how price-sensitive that scenario is at its operating point.
At their canonical ratios, the Toronto–Montréal scenarios deliver 18 per cent (VIA), 55 per cent (HPR) and 66 per cent (ALTO). ALTO retains an 11-point advantage over HPR — markedly smaller than the 20-point gap the price-parity readings imply, because ALTO’s higher capital cost drags its price ratio up the curve while HPR keeps a price advantage. On Toronto–Ottawa, both new-build scenarios sit high on the curve where price effects are smaller: ALTO ~88%, HPR ~75% — a 13-point gap. If HPR were held at the current VIA ratio (r ≈ 0.5), the gaps would close to 3 and 7 points respectively.
The HPR pricing lever, with ALTO held at parity
Fixing ALTO at parity and varying HPR’s fare relative to it puts the pricing decision directly in front of the reader.
Figure 5. HPR and ALTO modal share as a function of the HPR-to-ALTO fare ratio, ALTO fixed at parity (r = 1.0). ALTO’s share appears as a flat reference; HPR’s varies along the gold curve. Markers show the canonical HPR/ALTO = 0.7 operating point.Figure 6. ALTO − HPR modal-share differential. The gap rises from ~7 points (Toronto–Ottawa) and 3 points (Toronto–Montréal) at HPR/ALTO = 0.5, to 19–20 points at parity. The diamond marks the canonical 0.7 point: 12 points on Toronto–Ottawa, 11 on Toronto–Montréal.
The two figures make explicit what the canonical readings imply: ALTO’s modal-shift advantage is highly contingent on HPR’s pricing model. Hold HPR fares near current VIA levels and the gap is 3 to 7 points; let them drift to 70 per cent of ALTO’s and the gap is 11 to 13; let them converge entirely and the full 19–20-point time-only advantage returns. The corridor decision is as much a question about HPR’s intended subsidy structure as about the choice of infrastructure — a question in the operator’s hands, not the engineer’s.
5 · Where the Returns Sit
Where the modal-shift returns sit on the curve
Because the curve is logistic — flat at the top, steep in the middle, flat at the bottom — the value of additional time savings depends critically on where a route starts. On Toronto–Montréal, moving from VIA’s 5 h 13 min to HPR’s 3 h 38 min crosses much of the steep middle and delivers a large gain; the further move to ALTO’s 3-hour service stays in the steeper portion and adds a meaningful increment. On Toronto–Ottawa, HPR’s 2 h 55 min already places the route high on the curve, so ALTO’s 2-hour service produces smaller share gains.
Figure 7. Decomposition of modal-shift gain by investment step. Gold bars show the percentage-point gain from VIA to HPR; terracotta bars show the additional gain from HPR to ALTO. At price parity, the HPR step delivers 36–47 points across the two pairs; the additional ALTO step delivers 19–20 points.
On Toronto–Ottawa, the VIA-to-HPR move captures an estimated 47 points of modal shift; the further HPR-to-ALTO move adds 19. On Toronto–Montréal, HPR captures 36 and ALTO adds 20. The HPR step delivers the majority of the achievable shift on both pairs (roughly 65 to 70 per cent of the total), but the residual ALTO increment is real at price parity.
36–47
Percentage points captured by the VIA → HPR step (at parity)
19–20
Additional points from HPR → ALTO at parity — 11–13 once priced
$3–6B
Incremental capital cost per percentage point of ALTO-only modal shift
HPR delivers the majority of the achievable modal shift on both Toronto pairs at price parity. ALTO’s additional speed adds 19 to 20 percentage points — a residual that shrinks to 11 to 13 once the canonical price assumptions are applied.
The cost-effectiveness comparison sharpens this. ALTO’s $60–90 billion envelope is an incremental investment of $40–70 billion above the HPR option. Spread across the 11 to 13 incremental points ALTO captures over HPR under realistic pricing, that works out to roughly $3 billion to $6 billion per percentage point — several times worse than the HPR step that precedes it.
6 · Implications
What this means for the corridor decision
Four conclusions follow from putting the international literature, segment-level travel times, and the price dimension alongside one another.
The opportunity is real and concentrated
The corridor’s modal-shift potential is well-supported by international evidence and concentrated in two pairs — Toronto–Ottawa and Toronto–Montréal. Modelling the corridor as a single 1,000 km market obscures this. The real question is segment-level time and price, not headline line-haul speed.
HPR does the larger part of the work
On time alone, HPR’s Express times place both principal pairs into the upper portion of the curve. ALTO captures a real 19–20-point incremental gain — but residual relative to the larger HPR step, and several times more expensive per point of shift purchased.
Price reduces ALTO’s advantage
Under canonical ratios, ALTO’s advantage narrows from 20 points at parity to 11 points on Toronto–Montréal and 13 on Toronto–Ottawa. If HPR ran at the current VIA ratio, the gap would close further still — to 3 and 7 points.
This is the HPR regime
This is precisely where the literature finds frequency, reliability, station-centrality and price to matter more than headline speed. Capturing the bulk of the opportunity does not require operating at the global frontier of high-speed technology.
The corridor is a textbook case of why high-speed-rail claims need to be unbundled. The modal-shift opportunity is genuine. The majority of it is captured by conventional high-performance speeds on a dedicated, electrified, reliable corridor priced competitively against air. ALTO’s additional 300+ km/h capability buys a real but reduced gain once realistic pricing is admitted — between 11 and 13 percentage points on the principal Toronto pairs, at an incremental capital cost of $40–70 billion. Whether the corridor decision turns on the right framework — segment-level, two-dimensional analysis of time and price — is what determines whether the public investment achieves the modal-shift outcome it is intended to produce.
Download Full Note
Modal Shift Note 1 — Air–Rail Research Note (PDF)
Reference document with the full methodology, sensitivity analysis, and the complete source list
The S-curve is a standard logistic of the form S(t) = 1 / (1 + exp(k·(t − t₀))), where S(t) is rail’s share of the combined rail+air market as a function of station-to-station journey time t. The parameters are k = 1.3 and t₀ = 3.5 hours, calibrated by visual fit to the international comparator data. The family of curves adds a price-utility term: S(t, r) = 1 / (1 + exp(k·(t − t₀) + γ·ln r)), where r is the rail-to-air price ratio and γ = 1.0 the price coefficient.
This binary-logit specification is the simplest defensible form of the time–price modal-choice model used routinely in transport demand work. More elaborate discrete-choice models add regressors for frequency, station access, reliability and demographics, but tend to confirm the same S-shaped relationship and the same direction of the price effect. The parameters here should be treated as illustrative rather than predictive; sensitivity analysis at k between 1.0 and 1.6, t₀ between 3.0 and 4.0 hours, and γ between 0.6 and 1.4 produces the same qualitative conclusions about HPR’s performance and ALTO’s price-driven degradation of the time advantage.
Sources
Principal sources
1.
ALTO HSR Citizen Research Initiative (2026). HPR Strategy, Chapter 4 — High Performance Passenger Rail (Express journey times). citizenresearch.ca
2.
International Council on Clean Transportation (2022). The bullet train to lower-carbon travel.
3.
Mineta Transportation Institute (2017). Modal Shift and High-Speed Rail: A Review of the Current Literature. P. Haas.
4.
World Bank Group (2019). China’s High-Speed Rail Development.
5.
Bergantino, A. & Madio, L. (2020). Intermodal competition and substitution: HSR versus air transport. Research in Transportation Economics, 79.
6.
AECOM (2011). High-Speed Rail Overseas Experience Report. C. Nash.
7.
Sun, X. et al. (2024). A review on research regarding HSR interactions with air transport. Transport Policy, 157.
8.
Wardman, M. (2014). Price Elasticities of Surface Travel Demand: A Meta-analysis of UK Evidence. Journal of Transport Economics and Policy, 48.
9.
Ben-Akiva, M. & Lerman, S. (1985). Discrete Choice Analysis: Theory and Application to Travel Demand. MIT Press. — and Train, K. (2009). Discrete Choice Methods with Simulation, 2nd ed. Cambridge University Press.
10.
Comisión Nacional de los Mercados y la Competencia (CNMC), annual rail market reports for Spain; VIA Rail Canada Annual Report 2023 and published timetables, travel times and Economy fare ranges; Alto Inc. published travel-time targets and corridor descriptions (February 2025 announcement).
11.
Energies (2025). Emission Reductions in the Aviation Sector: A Systematic Review of the Sustainability Impacts of Modal Shifts.
12.
ALTO HSR Citizen Research Initiative companion material: the Modal Shift & Ridership synthesis brief, which sets this note alongside Notes 2–4 (rail–car substitution, the ridership envelope, and the operating-subsidy frontier).
The single equation every operating rail corridor has to balance — and what it tells us about ALTO.
ALTO HSR Citizen Research Initiative · Methodology Brief · Published May 2026
◆ 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
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.
What the government tells Parliament about ALTO’s cost, ridership and subsidies — and what two independent academic studies show.
ALTO HSR Citizen Research Initiative · Cost & Ridership Brief · Published May 2026
⚠ Document Under Analysis
On April 22, 2026, the Minister of Transport tabled the answer to Order Paper Question Q-923, asked by Philip Lawrence (MP for Northumberland–Clarke). Three numerical claims sit at the heart of that answer.
Two independent academic analyses of the same corridor have been published by Canadian universities — one in 2025, one in 2021. Both reach quantitatively different conclusions. This brief sets them side by side.
Critical Finding
None of the three claims in Q-923 is factually inaccurate. Each is constructed using the most favourable available definition, range, or horizon. The result is a headline picture meaningfully different from the academic record on the same project.
The brief looks at each claim in turn, sets the government’s wording next to the academic finding, and asks the simple question: is the government’s framing realistic?
Download
Reading the Answer — Full Brief (PDF)
The three numerical claims in Q-923 (cost, ridership, subsidies), set side by side with the published academic record from McGill and the Munk School Global Economic Policy Lab
On March 5, 2026, MP Philip Lawrence submitted Order Paper Question Q-923, asking the government about the financial viability of the ALTO project. The Minister of Transport’s answer, tabled in the House of Commons on April 22, 2026, contained three specific numerical statements.
On subsidies
“Self-sustaining”
operations expected to cover their own costs — “no need for ongoing operating subsidies”
On cost
$60–90 B
stated range for total project cost — classified by ALTO as AACE Class 5 (−50%/+100% accuracy band)
On ridership
43 M / year
forecast for 2084 — year 55 of operations, if construction begins in 2029 as planned
Each of these three propositions is the subject of this brief. Each is technically defensible. Neither is, on the academic record now publicly available, the only available framing of what is being described.
The Academic Record
Two independent studies of the same corridor
Two academic analyses of the ALTO corridor are publicly available. They differ in age, scope, methodology and authority. They reach quantitatively similar conclusions on the questions both address.
McGill University — Transportation Research at McGill (2025)
The primary academic comparator. Zhang, Negm and El-Geneidy, High-Speed Rail in Canada: Insights from a corridorwide survey and a financial analysis. Combines a 6,738-respondent travel-demand survey across six Census Metropolitan Areas with a 50-year financial model that uses ALTO’s own published cost assumptions as its inputs. Funded by Queen’s University and NSERC. Describes high-speed rail throughout in favourable terms — the study is not advocacy against the project.
Munk School (Toronto) — Global Economic Policy Lab (2021)
An earlier independent reference point. Bien, Iqbal, Li and Stecher, under Lab Director Professor Mark Manger. High-Speed Rail: Toronto – Montreal Economic Analysis. Prepared by graduate-level “Clean Energy Analysts” within the Lab. Not a peer-reviewed publication. Covers the Toronto–Montreal segment only (540 km), not the full corridor; figures in 2021 dollars. Written four years before the formal ALTO process began. Its value here is as an early, independent reference point reaching conclusions consistent with the more recent McGill work.
The brief below treats McGill as the primary academic comparator. Munk is cited where it provides confirming or complementary evidence on the questions both studies address.
Claim by Claim
The government’s framing, beside the academic finding
For each of the three claims in Q-923, the wording of the parliamentary answer is set beside what the McGill and Munk studies show. The pattern at all three points is the same.
Claim 01On subsidies
The government says
“Operations are expected to be financially self-sustaining, with revenues covering operations and maintenance costs and eliminating the need for ongoing operating subsidies.”
Minister of Transport, response to Q-923 (April 22, 2026)
The academic record shows
McGill (2025): Operations cover their own costs at full ridership. Capital must be repaid by public funds at ~C$1.23 billion per year for 47 years, totalling approximately C$61.62 billion before full cost recovery in year 48.
Munk (2021): Operations cover their costs at a breakeven ticket of C$109. At a more affordable C$75 ticket, the Toronto–Montreal segment alone requires C$5.08 billion in subsidy. The construction phase is publicly financed in both models.
Why this matters The government defines “subsidy” narrowly — the operating cash transfer required to keep trains running once they are running. The academic studies extend the analysis to capital servicing, which is the much larger lifetime public obligation. A useful way to think about it: a homeowner who rents out a basement suite can truthfully say the rental income covers their utilities and property tax. But the mortgage is still being paid every month, from a different account, on a different schedule. “The suite pays for itself” is technically accurate; it is also not a complete description of the cost of owning the house. ALTO operations being “self-sustaining” is the same kind of statement. The mortgage — roughly C$1.23 billion per year, for 47 years — is still being paid by the public. A reader who treats “self-sustaining” as a description of the project’s lifetime public cost is reading it against the narrowest available technical definition.
Claim 02On cost
The government says
“Between $60 and $90 billion.”
Q-923 (April 22, 2026). ALTO’s May 8, 2026 blog post classifies the same figure as an AACE Class 5 estimate — an accuracy range of −50% to +100%.
The academic record shows
McGill (2025): Total construction cost C$79.8 billion in 2025 dollars for the full corridor — sits in the upper portion of the government’s range.
Munk (2021):C$11.94 billion in 2021 dollars for the Toronto–Montreal segment alone, with a 66% contingency already built in. Methodologies and scopes are not directly comparable; neither extrapolates straightforwardly to the other.
Why this matters The government’s stated range is wide enough to encompass quite different methodological approaches. The accuracy band attached to the underlying Class 5 classification — addressed in the Initiative’s companion brief Reading the Footnote — extends the realistic outturn substantially beyond the stated upper bound. “$60 to $90 billion” is doing the work of multiple very different underlying assumptions. Access to Information documents published by The Canadian Press on May 28, 2025 also show that the corporation now answering for the $60–90 billion figure was, beginning in September 2023, paying a marketing firm to rebrand the project from HFR to HSR — eighteen months before any HSR-specific cost analysis had been tabled to Parliament. The companion brief The Report That Vanished sets out that record in detail.
Claim 03On ridership
The government says
“43 million annual riders by 2084.”
Q-923 (April 22, 2026). With construction beginning in 2029, this corresponds to approximately year 55 of operations.
The academic record shows
McGill (2025):20.8 million annual riders on the full corridor by year 50 of operations.
Munk (2021): 10.45 million annual riders on the Toronto–Montreal segment by year 30. Using Munk’s own observation that this segment generates ~57% of full-corridor ridership, this implies ~18 million annual full-corridor riders by year 30. The two academic projections converge within 15%; both are approximately half the government figure.
Why this matters The government’s 43 million figure is roughly twice the academic consensus and is attached to a horizon two to three decades later than the academic projections. By selecting the latest available year and roughly doubling the mature-corridor ridership the academic studies support, the answer constructs a number that is neither directly comparable to the published analyses nor easily falsifiable for several more decades.
How the Project Changed
A short chronology
The three numerical claims in Q-923 are the most recent point in a project whose definition has shifted substantially over eight years. Understanding why the government’s figures differ from the academic record requires understanding how the thing being costed and forecast changed shape along the way. The sequence below is drawn from the public parliamentary record, principally the September 2024 committee report and the Government Response tabled in October 2025.
2016–2021 — A VIA Rail proposal for higher frequency, not higher speed. The project began as a VIA Rail concept assessed under Budget 2018. Its defining objective was frequency and reliability on dedicated track, not top speed. A witness who had worked on the original proposal told the committee it was “decision-ready by summer of 2018” and could have been in service by 2025. The estimate publicly associated with that early concept was approximately $12 billion.
2022–2023 — Procurement, with the scope deliberately left open. A federal Crown corporation was incorporated in late 2022 to manage the project, and a procurement phase launched. Three consortia were invited to bid. Crucially, bidders were asked to submit two options: one running at up to 200 km/h, and one with some high-speed segments to reduce overall travel time. The corporation’s own leadership repeatedly told the committee that the scope, technology, and route were not yet defined, and that it would be “imprudent to throw numbers out, because the scope is not defined.” The 2021 $12 billion figure was confirmed to the committee as “probably not adequate anymore,” but no replacement figure was offered.
September 2024 — The committee reports, still on the frequency-first premise. The committee tabled its 18-recommendation report under the title Issues and Opportunities: High Frequency Rail in the Toronto to Quebec City Corridor. The report is framed throughout around high-frequency rail. Its recommendations asked the government to define cost and timetable (including an explicit analysis of the incremental cost between the higher-frequency and high-speed options), to release the unredacted Joint Project Office report, and to analyse the effect of a dedicated line on existing VIA Rail service. The premise of the report was that the speed question remained open and that the cost difference between the two options had not been established.
February 2025 — The pivot to high-speed rail. The government announced on February 19, 2025 that the scope of the project would shift to delivering high-speed rail. This is the decision that resolves the speed question the committee had treated as open — and it resolves it toward the more expensive of the two procurement options, the one requiring a fully protected, fenced right-of-way without at-grade crossings. The decision was made before the committee’s requested incremental-cost analysis had been produced. Access to Information records indicate the rebranding toward this framing had been operationally under way since September 2023, some seventeen months before the public announcement.
March–September 2025 — Partner selected, timeline halved. The procurement concluded with the selection of a private developer partner, and a Pre-Development Agreement was signed on March 19, 2025, launching a multi-year co-development phase. On September 11, 2025, the government announced that construction would now be accelerated to begin in four years rather than the original eight — even as the Government Response would shortly confirm that “all costing information remains subject to change” through co-development.
October 2025–April 2026 — The Response, then the figures. The Government Response to the committee’s report was finally tabled on October 10, 2025, more than a year after the report itself. It agreed with the intent of all 18 recommendations but downgraded several of the most consequential — including the cost-and-timetable recommendation and the release of the unredacted Joint Project Office report — to support “in principle,” deferring substance to the co-development phase. The incremental HFR-versus-HSR cost analysis the committee had asked for was never produced as such. Q-923, answered on April 22, 2026, then placed firm-sounding figures — $60 to $90 billion, 43 million riders, no operating subsidy — on a project whose own governing documents still described its costs as undefined.
The throughline is this: the project began as a frequency-first concept with a roughly $12 billion estimate, was procured with its scope deliberately undefined, was redirected to high-speed rail before the cost comparison the committee requested had been done, had its construction timeline halved while its costs were still officially “subject to change,” and only then acquired the specific $60–90 billion and 43-million-rider figures that Q-923 presents. The figures did not emerge from a defined scope; the scope was redefined around an ambition, and the figures followed. That is the context the academic comparison in this brief is read against.
The Disclosure Context
The parliamentary record Q-923 sits in
Q-923 was answered on April 22, 2026. As the chronology above sets out, the parliamentary record on ALTO that surrounds it is materially thinner than it might otherwise have been. The committee’s 18-recommendation report asked specifically for an HFR-versus-HSR cost analysis (Recommendation 4), the release of the Joint Project Office’s full unredacted report (Recommendation 6), and an analysis of the impact of a dedicated rail line on existing VIA Rail service (Recommendation 8). The first of these was never produced as such; the second was downgraded to release “in principle” in redacted form. The $60–90 billion figure cited in Q-923 therefore sits within a disclosure context in which the central cost question the committee posed was redirected rather than answered.
The Initiative’s companion brief The Report That Vanished sets out this parliamentary-process record in detail — the documentary evidence on the marketing-led pivot, the procedural mechanics of prorogation, and the parliamentary mechanisms by which the unanswered recommendations remain available to be revived. The two briefs are intended to be read together: Reading the Answer documents the headline framing of the three specific numerical claims in Q-923, and The Report That Vanished documents the parliamentary record into which those claims were placed.
Side by Side
Same project, three different pictures
Read as one comparison, the three claim cards point in the same direction at every turn. The government’s number describes the largest, latest, or narrowest-defined version of each quantity. The academic record describes a more constrained or more comprehensively defined version.
Subsidies
Gov:No operating subsidies
Acad:~C$61.6 B over 47 yrs (capital)
Cost
Gov:$60–90 B (Class 5)
Acad:C$11.9 B (T–M) — C$79.8 B (full)
Ridership
Gov:43 M/yr by 2084 (yr 55)
Acad:~18–21 M/yr (yr 30–50)
No single divergence, taken alone, would carry the weight of an argument. Stacked together — cost, ridership, subsidies, all framed in the most favourable way each can be framed — they describe a pattern. The pattern is the brief’s subject.
The honest answer
Is the government’s framing realistic?
The answer depends on what “realistic” is asked to mean.
If realistic means technically defensible — yes. Each of the three figures in Q-923 can be constructed using some defensible technical methodology. The Minister’s answer is a carefully drafted parliamentary response that would survive most reasonable tests of literal accuracy.
If realistic means consistent with the picture an informed reader would expect — the answer is more complicated. Two independent academic studies, written by different teams under different funding, with no involvement in the ALTO process, converge on a project that:
carries roughly half the ridership the government’s 2084 figure implies, at a horizon two to three decades earlier;
requires substantial sustained public capital subsidy over four to five decades, even when operations cover their own costs;
could plausibly cost as much as the upper end of the government’s range, or, depending on methodology, materially less.
The framing in Q-923 is technically defensible. It is not the only available framing of the same underlying material. It is the framing that produces the most favourable headline impression at each of the three points where a choice could be made. Whether to characterise it as “realistic” is finally a judgment for the reader. What this brief documents is that the framing is a choice, and that the academic record provides the basis for reading what each statement leaves out.
For the next federal statement
Three questions to ask
Where the next federal statement on ALTO is concerned — whether in a future Order Paper answer, a ministerial statement, a corporate plan summary, or a public communication from ALTO itself — three questions follow naturally.
On subsidies: What definition is being applied? Does the figure cover operations only, or operations and capital servicing? If capital servicing is excluded, what is its size and duration, and over what time horizon is the public obligation expected to extend?
On cost: What is the basis of the figure? Bottom-up engineering estimate, reference-class-adjusted estimate, or some other methodology? What accuracy band does it carry? Where does the figure sit relative to comparable international HSR projects, adjusted for distance, geography, and construction context?
On ridership: At what horizon is the figure cited? How does it compare to the academic projections at the same horizon? If the comparison is unfavourable, on what basis is the higher figure defended? What sensitivity analysis has been conducted, and what does it show?
None of these questions presupposes opposition to the project. 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.
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Reading the Answer (PDF)
Reference document for federal decision-makers, parliamentarians, journalists, and constituents tracking the file
Order Paper Question Q-923, 45th Parliament, 1st session. Asked by Philip Lawrence (MP for Northumberland–Clarke), March 5, 2026; answered by the Minister of Transport and Leader of the Government in the House of Commons, April 22, 2026. ourcommons.ca
2.
The Canadian Press, “Via Rail subsidiary paid Quebec marketing firm $330K as it pivoted to high-speed rail,” May 28, 2025. The Globe and Mail published a parallel report on the same Access to Information disclosures the same day. theglobeandmail.com
3.
Zhang, B., Negm, H., & El-Geneidy, A. (2025). High-Speed Rail in Canada: Insights from a corridorwide survey and a financial analysis. Transportation Research at McGill, McGill University. Funded by Queen’s University and the Natural Sciences and Engineering Research Council of Canada (NSERC).
4.
Bien, P., Iqbal, S., Li, A., & Stecher, I. (2021). High-Speed Rail: Toronto – Montreal Economic Analysis. Global Economic Policy Lab, Munk School of Global Affairs & Public Policy, University of Toronto. Lab Director: Professor Mark Manger.
5.
ALTO, “How Much Will Alto’s High-Speed Rail Cost Canadians and how is it Funded?”, blog post published May 8, 2026 — source of the AACE Class 5 classification of the $60–90 billion figure. altotrain.ca
6.
ALTO HSR Citizen Research Initiative, Reading the Footnote (Cost Estimation Brief), May 2026 — the companion brief analysing the AACE Class 5 footnote in detail.
7.
ALTO HSR Citizen Research Initiative, The Report That Vanished (Parliamentary Process Brief), May 2026 — the companion brief setting out the TRAN Report 18 record, the documented marketing-led HFR-to-HSR pivot, and the procedural mechanisms by which the committee’s recommendations remain unanswered.
Ridership figures in ALTO’s 2025-26 Corporate Plan and current public materials, side by side.
ALTO HSR Citizen Research Initiative · Ridership Brief · Published May 6, 2026 · Public consultation closed April 24, 2026
In current ALTO materials
ALTO’s Corporate Plan Summary 2025-2026 to 2029-30 — the formal accountability document submitted to the Minister of Transport for Treasury Board approval, signed by the Chief Financial Officer in January 2025 — cites a Project Outcome of at least 17 million annual passenger trips by 2059, defined to include “both Alto Passenger Rail Services and Local Services.”
ALTO’s consultation website, as of May 6, 2026, continues to host a CEO opinion piece projecting 24 million passengers annually by 2055, “fully consistent with international outcomes.” A Globe and Mail editorial citing the same source extended this to 43 million by the 2080s. altotrain.ca
Summary
Two ridership figures currently appear in ALTO documents. The figure listed as Project Outcome #1 in the Corporate Plan submitted for Treasury Board approval is 17 million by 2059, defined to include both Alto Passenger Rail Services and the continuation of VIA Rail’s conventional Local Services. The figure in current public-facing materials is 24 million by 2055, rising to 43 million by 2084, presented in reference to Alto.
The 17 million figure is the same target set in the 2023 Request for Qualifications, when the project was specified as 177 km/h High Frequency Rail at an estimated capital cost of $27.7 billion. It carries forward into the current Corporate Plan, which describes the project as 300 km/h high-speed rail at a Class 4 capital cost estimate of $60–90 billion. The Corporate Plan does not record a formal revision of the figure when the specification changed.
This brief sets out what each document says, when each figure was published, and what other publicly available evidence indicates about ridership at the corridor scale. It does not draw conclusions about which figure is the operative one. The purpose is to make the documentary record visible.
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Two Targets — Full Brief (PDF)
Documentary record of ALTO ridership figures across 2021–2026 publications
A megaproject’s ridership projection anchors several other figures: the revenue model, the benefit-cost ratio, the modal-shift carbon argument, and the agglomeration economic case. When a ridership projection moves, related figures move with it.
For ALTO, two ridership figures are currently visible in the public record. They appear in different documents, communicated to different audiences. This brief sets the two figures alongside each other, with the document trail and the available comparator evidence, and identifies the questions that would resolve which figure is the operative one.
The brief is not an assessment of either figure on the merits. It is an assemblage of what has been published, in chronological order, with the structural definitions of each figure made explicit. Readers are invited to draw their own conclusions.
A note on dating the Corporate Plan
The Corporate Plan Summary 2025-26 to 2029-30 carries a CFO attestation dated January 7, 2025. Several elements of its content, however, post-date that signature: it describes the February 2025 HSR announcement and Cadence selection, the March 2025 PDA execution, Stage 1 of Co-Development as having “occurred from April 2025 to July 2025,” and workforce figures “as of May 2025.” Appendix 12’s chronology ends with August 2025. The document was therefore finalised in approximately mid-2025, with the CFO attestation date preserved as the formal accountability anchor. References in this brief to the Corporate Plan should be read with that timing in mind.
Side by Side
The two figures, in their own words
Both figures appear in current ALTO materials. Both are being communicated to different audiences in May 2026.
Public Materials · May 6, 2026
Corporate Plan to Treasury Board · 2025-26
24 million by 2055, rising to 43 million by 2084
From the Imbleau opinion piece originally published in the Toronto Star and La Presse on April 17, 2026, reposted on the consultation site as of May 6, 2026:
“Alto’s projected 24 million passengers annually by 2055 is fully consistent with international outcomes, based on the modelling used worldwide.”
The Globe and Mail editorial citing the same source extended this to “43 million by the 2080s, up from three million today.”
This figure is referenced in connection with the project’s benefit-cost claims, the 1.1% GDP uplift estimate, and the 50,000-job projection.
At least 17 million by 2059
From the Corporate Plan Summary 2025-26 to 2029-30, Project Outcome #1, signed by the CFO January 7, 2025:
“Significantly Increase Intercity Rail Passengers to at least 17 million by 2059 through both the new passenger rail services (NPRS Services) and Local Services through increased annual seat capacity.”
The same figure appears in Appendix 9 (Long-term Outcomes) as: “up from 4.8 million in 2019, including both Alto Passenger Rail Services and Local Services.”
This is the figure listed as a Project Outcome in the document submitted for Treasury Board approval.
Three observations about the two figures, drawn from the documents themselves:
The 17 million figure includes Local Services
The Corporate Plan target counts “Alto Passenger Rail Services and Local Services” together. Local Services is the planning term, defined in the Corporate Plan’s glossary, for VIA Rail’s continuing conventional service in the Quebec City–Windsor corridor. The 24 million public figure, as presented, is referenced in connection with Alto. The two figures therefore measure across different scopes.
The 17 million figure carries forward unchanged from the 2023 RFQ
17 million by 2059 was the Project Outcome attached to the 2023 Request for Qualifications, when the project was specified as 177 km/h High Frequency Rail at an estimated capital cost of $27.7 billion. The same figure, with the same target year, appears in the Corporate Plan that describes the project as 300 km/h high-speed rail at a Class 4 cost estimate of $60–90 billion. Project Outcomes are formally established in procurement documents and are not trivially revised; the Corporate Plan does not record a revision to this figure on either the specification change or the cost-envelope change.
The two figures use different baseline years
The Corporate Plan cites a 4.8 million baseline from 2019 (pre-COVID). The Imbleau opinion piece cites “three million today.” VIA Rail’s 2024 Annual Report records 4.19 million corridor passengers, of which 3.34 million on Corridor East. The growth multiplier from each baseline to its corresponding target therefore differs.
Document Trail
When each figure was published
The chronology below sets out the principal ALTO ridership figures in the public record, in order of publication.
Date
Document
Headline ridership figure
December 2021
JPO Business Case Update v.002 VIA / CIB internal (released via ATI, November 2025)
405M cumulative30-year cumulative trips 2030–2059 for HFR Electric scenario, an average of approximately 13.5 million per year. BCR ~ 0.4. NPV −$21.1 billion.
February 2023
Request for Qualifications (HFR) PSPC, 126 pp.
17M by 2059The Project Outcome attached to the 177 km/h HFR specification at an approximate $27.7B capital cost. Zero operating subsidy was a parallel commitment.
February 2025
HSR announcement Government of Canada
Specification changeProject rebranded from 177 km/h HFR to 300 km/h HSR. Cadence selected as Private Developer Partner. $3.9B Co-Development Phase funding announced.
March 2025
Fast Forward: Shaping Canada’s Future ALTO public document
24M by 2055 43M by 2084Stated baseline of “3 million today.” Used in subsequent ALTO public materials and consultation graphics; cited in the Globe and Mail editorial.
CFO signature Jan 7, 2025 (finalised mid-2025)
Corporate Plan Summary 2025-26 to 2029-30 Treasury Board submission
17M by 2059Listed as Project Outcome #1. Defined to include “both Alto Passenger Rail Services and Local Services.” 4.8M (2019) baseline. CFO attestation dated January 7, 2025; document content references events through summer 2025.
April 17, 2026
Imbleau opinion piece Toronto Star · La Presse · ALTO website
24M by 2055Published one week before the consultation deadline. Described as “fully consistent with international outcomes, based on the modelling used worldwide.” Reposted on ALTO’s consultation site, where it remains as of May 6, 2026.
The chronology has a feature worth surfacing on its own. The 24 million and 43 million figures first appear in the Fast Forward document of March 2025. The Corporate Plan, finalised in approximately mid-2025, references only the 17 million figure as a Project Outcome and does not mention, footnote, or otherwise acknowledge the higher Fast Forward figures. The April 2026 Imbleau opinion piece reverts to the 24 million figure for public-facing communications.
In other words: since at least March 2025, the two figures have been running on parallel tracks. The lower figure has appeared in formal accountability documents (the Corporate Plan submitted for Treasury Board approval). The higher figure has appeared in public-facing communications (the Fast Forward document, the consultation website, the CEO’s opinion pieces, and external commentary citing them). Neither document has reconciled the two, and neither has stated which is the operative ridership target.
Adjacent Disclosure
The cost figure, in the same period
The Imbleau opinion piece of April 17, 2026 contains the following statement on the project’s capital cost:
“In order to finalize project cost, we need to know what is being built and where. We must choose the best alignment through consultation. Then comes detailed engineering for bridges, tunnels and the design; a 320 km/h train requires millimeter level precision.”
The publicly cited Class 4 capital cost estimate is $60–90 billion. The Co-Development Phase funding of $3.9 billion has been approved and is being expended over fiscal years 2024-25 to 2029-30 per the Corporate Plan. The CEO’s statement above appears in the same publication on the same day as the 24 million ridership figure cited earlier in this brief.
This brief makes no inference about the relationship between the cost statement and the ridership figures. They are presented here together because they appear in the same document and are part of the documentary record currently available to the public.
Comparator Evidence
Other publicly available ridership analyses for the corridor
For context, three additional sources of corridor ridership analysis are part of the public record. Each uses a different methodology and a different scope.
Munk School Global Economic Policy Lab (Toronto–Montréal segment only)
The University of Toronto’s Global Economic Policy Lab published an analysis projecting 9.44 million annual passengers by year 20 and 10.45 million by year 30 on the Toronto–Montréal segment, which the GEPL identified as generating 57% of total corridor ridership. Scaled to the full corridor on the GEPL’s own segment-share assumption, this implies approximately 16–17 million by year 20. This is the only independent academic modelling exercise for the corridor that has been published with a disclosed methodology.
JPO Business Case Update v.002 (December 2021, ATI release)
The Joint Project Office Business Case Update released through Access to Information by the Canada Infrastructure Bank in November 2025 projects 405 million cumulative trips over 30 years (2030–2059) for the HFR Electric scenario, an average of approximately 13.5 million per year. The same document records a benefit-cost ratio of approximately 0.4 and a 30-year NPV of −$21.1 billion against a $27.7B capital cost baseline.
VIA Rail Annual Report 2024 (current corridor baseline)
The most recent published actual corridor ridership figure is 4,191,080 passengers in 2024, of which 3,336,057 on Corridor East (Quebec City–Toronto). The Montréal–Ottawa–Toronto segment alone carried 2,314,024 passengers. These figures were achieved with on-time performance averaging 51% for the year.
No reconciliation between the ALTO 17 million Corporate Plan figure, the ALTO 24 million public figure, and these comparator analyses has been published.
From the Documentary Record
Five things visible in the public record
Without drawing inferences about motive or intent, five observations can be made directly from the documents reviewed for this brief.
1. The two figures have been running on parallel tracks since March 2025
The 24 million figure was introduced in the Fast Forward document of March 2025. The Corporate Plan was finalised in approximately mid-2025; it references only the 17 million figure as a Project Outcome and does not mention or footnote the Fast Forward figures. Both figures remain in active circulation in May 2026: the 17 million figure in the Corporate Plan, the 24 million figure in the consultation website and the CEO’s April 2026 opinion piece.
2. The two figures have different scopes
The 17 million figure is defined as “Alto Passenger Rail Services and Local Services” combined. The 24 million figure, as presented in the Imbleau opinion piece, references Alto. The Corporate Plan does not break the 17 million figure into Alto-component and Local-Services-component shares.
3. The 17 million figure was set under the previous specification
17 million by 2059 was the Project Outcome attached to the 2023 RFQ for the 177 km/h HFR specification at $27.7B. The same figure carries forward into the Corporate Plan that describes the project as 300 km/h HSR at $60–90B, without a recorded revision to the target.
4. The capital cost is also presented as a working figure
The CEO has publicly stated that “in order to finalize project cost, we need to know what is being built and where.” The Class 4 estimate of $60–90 billion is, on this account, a working figure pending corridor selection and detailed engineering. The Co-Development Phase funding of $3.9 billion has been approved and is being expended.
The Parliamentary Budget Officer has not published a review of either the cost or the ridership figures. The only independent academic modelling exercise for the corridor with a disclosed methodology, the Munk School GEPL analysis, projects approximately 16–17 million for the full corridor by year 20 of operation.
Where things stand · May 6, 2026
Disclosure ledger
The following items are, or are not, currently in the public record.
Disclosed
Corporate Plan ridership figure: 17 million by 2059, including Alto Passenger Rail Services and Local Services. Corporate Plan Summary 2025-26 to 2029-30, Project Outcome #1.
Disclosed
Public-facing ridership figure: 24 million by 2055, rising to 43 million by 2084. Fast Forward (March 2025); Imbleau opinion piece (April 2026); ALTO consultation website (current).
Partial
Definition of the 17M target. Disclosed in Appendix 9 of the Corporate Plan as including Local Services, but not surfaced in summary communications about the figure.
Not disclosed
Demand modelling methodology for either the 17 million or the 24 million figure. No model documentation, elasticity assumptions, modal-shift coefficients, or sensitivity analysis has been published for either figure.
Not disclosed
Reconciliation between the two figures. No public ALTO statement explaining the relationship between the Corporate Plan figure and the public-marketing figure, or stating which is intended to be the operative ridership target.
Not disclosed
The Alto-only share of the 17M target. The Corporate Plan does not break the 17 million into the share attributable to high-speed services and the share attributable to Local Services.
Not disclosed
Updated benefit-cost ratio for the current 300 km/h HSR specification at $60–90 billion capital cost against the 17M ridership target. The last published BCR (~0.4) was calculated against the $27.7B HFR specification.
Not disclosed
Door-to-door journey time projection from representative origin points, accounting for the now-likely suburban Toronto station and Tremblay Ottawa terminus. The 24M figure is presumed to assume downtown-to-downtown service that is no longer the operating reality.
Not disclosed
Independent demand audit results from the Parliamentary Budget Officer or comparable independent body, against either the 17M or the 24M figure.
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Two Targets (PDF)
Documentary record of ALTO ridership figures, with comparator analyses
Six questions that would resolve the disclosure gaps
The following questions, addressed to the Minister of Transport and to the Parliamentary Budget Officer, would surface the items currently undisclosed.
Question 1
“Which is ALTO’s operative ridership target: the 17 million by 2059 figure in the Corporate Plan submitted for Treasury Board approval, or the 24 million by 2055 figure in the Corporation’s consultation materials and the CEO’s opinion pieces?”
Question 2
“Will ALTO publish a breakdown of the 17 million Project Outcome figure into the share attributable to Alto Passenger Rail Services and the share attributable to Local Services?”
Question 3
“Will ALTO publish the demand modelling methodology, elasticity assumptions, modal-shift coefficients, and sensitivity ranges underpinning both the 17 million and the 24 million figures?”
Question 4
“What is the updated benefit-cost ratio for the current 300 km/h high-speed rail specification at the Class 4 capital cost estimate of $60–90 billion, calculated against the 17 million Treasury Board ridership target?”
Question 5
“Has the Parliamentary Budget Officer been asked to review the ridership and cost figures underpinning ALTO’s benefit-cost case, and if so, what is the expected timeline for publication of that review?”
Question 6
“Given the Corporation’s acknowledgment that ‘in order to finalize project cost, we need to know what is being built and where,’ what is the formal status of the $60–90 billion capital cost figure relative to the $3.9 billion in Co-Development Phase funding already committed?”
Sources
Primary documents
1.
VIA HFR–VIA TGF Inc. (Alto), “Corporate Plan Summary 2025-2026 to 2029-30,” submitted to the Minister of Transport for Treasury Board approval, signed by the Chief Financial Officer January 7, 2025. Project Outcome #1 (Executive Summary, Appendix 2, Appendix 9, Appendix 13).
2.
Martin Imbleau, “High-speed rail is not a leap of faith: Why it matters for Canada’s growth,” opinion piece published Toronto Star and La Presse, April 17, 2026; reposted on ALTO consultation website. altotrain.ca (retrieved May 6, 2026)
3.
ALTO, “Fast Forward: Shaping Canada’s Future with a High-Speed Rail Network,” explanatory document, March 2025.
4.
Public Services and Procurement Canada, “Request for Qualifications — High Frequency Rail Project (RFQ No. T8128-210188/C),” February 17, 2023. Project Outcomes including 17M ridership by 2059 and zero operating subsidy. 126 pages.
5.
VIA Rail Canada / Canada Infrastructure Bank, “JPO Business Case Update v.002,” December 2021. Released through Access to Information by CIB, November 2025. Source for 405M cumulative trips, BCR ~0.4, and 30-year NPV of −$21.1B for HFR Electric option.
6.
VIA Rail Canada, “Annual Report 2024,” published 2025. 2024 actual corridor ridership: 4,191,080 passengers; Corridor East subtotal: 3,336,057; Montréal–Ottawa–Toronto segment: 2,314,024.
7.
The Globe and Mail, editorial referencing ALTO ridership projections: “projected ridership numbers – 24 million trips annually, in the 2050s, rising to 43 million by the 2080s, up from three million today.”
8.
Munk School of Global Affairs and Public Policy, University of Toronto, Global Economic Policy Lab analysis of Toronto–Montréal HSR ridership: 9.44 million by year 20; 10.45 million by year 30 on Toronto–Montréal segment (57% of corridor).
