Tag: HSR construction

  • 50000 jobs

    ALTO HSR Citizen Research Initiative · Plain Language Brief

    Where do 50,000 jobs come from?

    Alto says building the railway will support about 50,000 jobs. We checked that figure against two railways that publish both what they spend and who they employ.

    50,000

    Jobs Alto says the project will support during construction. Its report defines the figure once, in an appendix.

    ~18,000

    People actually working on the railway, on our estimate, at Alto’s own budget and schedule.

    The number is not wrong. It is a standard output of a standard economic model, and when we rebuilt it from scratch we got almost exactly the same answer. But roughly two thirds of it is not people building a railway, and Alto’s report says so in only one place.

    What Alto says

    Alto’s report Canada’s Moment: The Economic Opportunity of High-Speed Rail, published in August 2026, says the Québec City–Toronto line will support approximately 50,000 jobs while it is being built, and more than 5,000 once it is running. The figure has been repeated in federal announcements and in news coverage since. Almost everywhere it appears, it appears on its own: 50,000 jobs during construction.

    An earlier version of the number was slightly different. The federal announcement of 19 February 2025 gave over 51,000 jobs and a GDP gain of up to $35 billion a year. Transport Canada was still publishing that pairing in its 12 December 2025 release. Canada’s Moment, eight months later, gives 50,000 jobs and $24.5 billion. The report does not explain the difference between the two GDP figures, which is about 43 per cent.

    What the report actually says

    Further into the report, in section 4.3.3 and in two identical tables — Table 7 in the body and Table A4 in the appendix — the figure is described much more fully. There it is:

    • 50,000 full-time equivalent jobs. A full-time equivalent is work converted to a standard full-time measure. It is not a count of people.
    • Spread across a ten-year construction period.
    • Three kinds of work counted together. Direct work on the project; supply chain work at the firms that supply it; and induced work, meaning jobs supported when those workers spend their wages in shops, restaurants and everywhere else.
    • Produced by the 2019 Statistics Canada input-output model. This is a standard tool that estimates how spending in one part of the economy ripples through the rest of it.
    • Labelled an upper estimate.

    The appendix is careful about what this does and does not mean. It says the results describe economic activity supported by spending rather than a net gain to the country. It leaves them out of the project’s benefit-cost ratio. And it notes that the method does not allow for labour shortages or other limits on how much the economy can absorb.

    That is a fair and reasonably candid description. The difficulty is where it sits. Those two pages of an eighty-four page report carry it, and nothing else does. The summary at the front, the table comparing high-speed rail with the alternative, Alto’s website, the government announcements and the news coverage all carry the number without any of it.

    The number reaching the public is not the number the appendix defines. It is the same figure with its definition left behind.

    How we checked it

    Two railways publish both halves of the equation — how much they spend in a year, and how many people that spending puts to work.

    • HS2 in Britain publishes audited capital spending and a programme workforce figure every year.
    • The Réseau express métropolitain in Montréal, built by CDPQ Infra, published a jobs claim and periodic counts of workers on site. It is also the closest match anywhere to the way Alto has been set up.

    Both land in the same place: roughly 2,200 to 3,300 people working for every billion dollars spent in a year.

    Alto’s own published figures are $60 to $90 billion of capital over ten to fourteen years. That works out to $4.3 to $9.0 billion a year, which is around half the rate HS2 is spending at present. Applying the observed rate from those two projects to Alto’s own budget and schedule gives 13,000 to 21,000 people working on the programme in the central cases, and a ceiling near 30,000 if the project spends at the top of its range on the fastest possible build.

    We then rebuilt the whole 50,000 the way the appendix says it is built — adding supply chain and induced work on top of the people on site, using standard multiplier ratios.

    Rebuilding the 50,000 — ten-year build at the top of Alto’s capital range
    LayerWhat it meansPeople
    Owner and engineeringAlto’s own staff and the designers700 – 2,000
    Site and contractorPeople building the railway16,000 – 17,300
    Supply chainStaff at firms supplying the project14,400
    InducedJobs supported when those wages are spent18,200
    TotalAlto publishes 50,00050,600

    Initiative estimate, built from HS2 and REM published spending and workforce figures and standard supply-chain and induced multiplier ratios, applied to Alto’s own published capital range and schedule.

    What the check found

    50,600, against Alto’s published 50,000. The two agree to within one per cent, using the same three categories Alto names in its own appendix, by a route that borrows nothing from Alto’s model. On that basis the figure stands up as an output of the model that produced it.

    What the agreement also does is fix what is inside the number. On Alto’s own budget, roughly 18,000 of the 50,000 are people working on the railway. The rest — nearly two thirds — are jobs at supplier firms and jobs supported when wages are spent again. Fewer than four in ten are on the railway itself.

    A second and completely separate check gives the same answer. Direct labour usually accounts for 30 to 40 per cent of spending on heavy civil construction. Applied to $75 billion over ten to twelve years, at a fully loaded cost of $100,000 to $140,000 per worker-year, that supports somewhere between 13,400 and 30,000 people, centred near 19,000. Two methods that share no inputs bracket the same range.

    The other way of reading it

    Turn the question round and the arithmetic bites. If 50,000 really meant 50,000 people working on the railway, the project would need to spend $15.2 to $22.7 billion every year — a programme of $152 to $273 billion, against the $60 to $90 billion Alto has published. That is close to the $142 billion the Initiative’s own cost model predicts for this corridor. On the arithmetic set out here, Alto’s employment claim implies a more expensive railway than the one Alto has costed.

    The question the report leaves open

    “50,000 full-time equivalent jobs during a ten-year construction period” can be read two ways. It can mean 50,000 full-time equivalents working in each year of the decade. Or it can mean 50,000 years of work in total, spread across the decade. The two readings are ten times apart, and the report does not say which is meant.

    Only the first works arithmetically. The second would put the project at 0.67 job-years for every $1 million spent, against 2.6 at HS2 and 2.6 to 3.3 at the REM — roughly a quarter of the labour intensity of any comparable railway now being built. So this analysis treats the figure as an annual average, which is the reading that makes it defensible. A reader has no way to know without being told.

    Two more things in the tables

    Upper, not central

    Both tables head their value column “upper estimate”. One appendix earlier, the $24.5 billion GDP figure is labelled a central estimate, drawn from a stated range of sensitivity tests. So a range exists behind the 50,000 as well. What has been published is its top. The Initiative has recorded the same pattern twice before in this report: ranges that appear in the commissioned studies but not in the public summaries.

    The comparison figures have no source

    Table 2 sets high-speed rail against the alternative, “high-frequency rail”, and credits that alternative with 44,000 construction jobs at a capital cost of $45 to $75 billion. Neither figure carries a footnote, a source or a method anywhere in the document. The implied job intensity is internally consistent with the high-speed figures, so the numbers do not look wrong. The point is that a reader has no way to check them.

    This has been released before

    Employment modelling for this corridor has been published once already, and what happened to it is worth knowing. The Joint Project Office — VIA Rail and the Canada Infrastructure Bank — produced a business case for High Frequency Rail, the slower predecessor to this project, in December 2021. It gives construction employment as 71,000 to 96,000 annual equivalent jobs. That is a third unit of measure again, different from Alto’s 50,000 and from the 51,000 in the 2025 announcement, but stated plainly enough that a reader knows what is being counted.

    The Canada Infrastructure Bank released that document in full in November 2025. The same document, released under a separate access request, cuts the identical sentence: “an estimated ___ annual equivalent jobs could be created,” with the sentence left grammatical around the missing number and no exemption provision marked against it. We hold both versions.

    So the same employment figure, for the same corridor, has been treated as releasable by one federal body and withheld by another. That is worth putting on the record now, before anyone argues that the modelling behind the 50,000 is too commercially sensitive to publish.

    What we are asking Alto to publish

    Alto holds all of this already. None of it would cost anything the organisation does not have.

    1. Whether the 50,000 is an annual average, or a cumulative count of full-time-equivalent years.
    2. How it splits across the three categories Table A4 names: direct, supply chain and induced.
    3. The range the upper estimate was drawn from, and the central value within it.
    4. The year-by-year profile across the ten-year construction period.
    5. The assumption made about imports and Canadian content in the input-output run.
    6. The capital and operating spending profile that was fed into the model.
    7. The source of the 44,000 jobs and the $45 to $75 billion attributed to high-frequency rail in Table 2.

    And, more simply than any of that: carry the appendix definition alongside the number, wherever the number appears.

    How to read the numbers on this page

    Every figure attributed to Alto, HS2, CDPQ Infra, the California High-Speed Rail Authority or a Government of Canada release is quoted from the published source listed below, and can be checked there.

    Every other figure on this page is a calculation by the Initiative from those published inputs, and is described as an estimate where it appears. The reconstruction is an estimate rather than a measurement: it applies labour intensity observed on two comparator projects, together with standard supply-chain and induced multiplier ratios, to Alto’s own published capital range and schedule.

    Where Alto has not published something, this page says so rather than inferring it, and makes no claim about why any particular figure was or was not published.

    Read the full paper

    50,000 Jobs? — the research paper (PDF)

    Ten pages. Sets out the method in full, the year-by-year spending and workforce figures for HS2 and the Réseau express métropolitain, the layer-by-layer reconstruction, the job-years-per-dollar comparison against California and the US Federal Highway Administration, and the complete source list.

    Sources and notes

    1Alto, Canada’s Moment: The Economic Opportunity of High-Speed Rail, August 2026. Section 4.3.3 and Tables 7 and A4 (50,000 full-time equivalent jobs across direct, supply chain and induced effects, ten-year construction period, upper estimate; $86 billion value added; $23 billion tax revenue). Appendix A.2 methodology box (2019 Statistics Canada input-output model; static; excluded from the benefit-cost ratio; no account taken of labour shortages or capacity limits). Table A2 ($24.5 billion GDP, central estimate). Table 2 (44,000 construction jobs and $45 to $75 billion capital for high-frequency rail, unsourced). Section 4.3.3 sidebar (Canadian materials commitment).
    2Prime Minister of Canada, news release, 19 February 2025 (over 51,000 jobs during construction; GDP gain of up to $35 billion annually).
    3Transport Canada, news release, 12 December 2025, naming Ottawa–Montréal as the first segment (51,000 jobs during construction; up to $35 billion in GDP).
    4HS2 Ltd, Annual Report and Accounts 2022–23 to 2025–26 (capital expenditure and workforce), and six-monthly reports to Parliament, December 2024, July 2025 and May 2026 (jobs supported, supply chain businesses, spend to date, cost range and schedule).
    5CDPQ Infra, REM fact sheet and project pages; REM news releases of April 2018, November 2020 and June 2021 (34,000 jobs; over 30,000 direct and indirect jobs; more than 2,000 and then more than 3,000 workers on site).
    6California High-Speed Rail Authority, economic impact analyses for FY2023–24 and FY2024–25, and the March 2024 release on construction jobs and daily dispatch.
    7US Federal Highway Administration, Employment Impacts of Highway Infrastructure Investment (13,000 job-years per US$1 billion; 64/36 split between direct-and-indirect and induced).
    8Exchange rates: Bank of Canada daily rates, 1 September 2026. 1 GBP = C$1.8795; 1 USD = C$1.3896. Per-kilometre cost comparison uses the Initiative’s own ECI/CFI cost model.
    ALTO HSR Citizen Research Initiative Independent, non-partisan citizen research on the proposed Toronto–Québec City high-speed rail corridor. This page is a plain-language summary of the research paper 50,000 Jobs?, September 2026. The full paper sets out the method, the tables and the complete source list. Nothing on this page is a statement about the motives or conduct of any person or organisation. It is an analysis of published figures and of what those published figures do and do not say.
  • Engineering complexity

    Reading the Complexity

    How hard is the ALTO corridor to build — and why the answer decides whether its cost forecast can be trusted?

    ◆ Engineering-Complexity Methodology

    Cost forecasts for major rail projects are usually defended by comparison: the proponent points to a built line elsewhere, cites its per-kilometre cost, and applies it here. The comparison only holds if the two corridors are genuinely alike in how demanding they are to build. Most of the time, that question is never asked explicitly.

    This brief sets out a way to ask it. A ten-dimension rubric scores the engineering complexity of any high-speed corridor on a common 100-point scale, so that a proposed project can be placed against a worldwide database of built and under-construction lines. The point is not to produce a single number, but to make the comparator-selection step — the step where cost forecasts quietly succeed or fail — auditable.

    Critical Finding

    Scored against the rubric, the ALTO corridor reaches a composite of 82 out of 100 — in the Extreme band (81–100), and the highest of fourteen corridors in the worldwide reference database, seven points above the next-highest (California HSR, 75). No corridor at a comparable score has finished construction. ALTO therefore sits outside the range for which directly comparable delivery precedent exists.

    This matters for one reason above all: under reference-class forecasting, a project without a dimensionally matched precedent cannot be reliably costed from international benchmarks. A forecast built by borrowing the per-kilometre cost of a European or East Asian line scoring in the 40s or 50s will systematically understate what an Extreme-band corridor should be expected to cost.

    Download — The Rubric
    CAPEX Note 1: Engineering Complexity Rubric v1.0 (PDF)
    The ten-dimension framework, the five-level descriptors, the weighting rationale, the two composite indices, and the illustrative application across thirteen reference corridors
    Download PDF
    Download — The Scorecard
    CAPEX Note 2: ALTO Engineering Complexity Scorecard (PDF)
    The rubric applied dimension-by-dimension to the proposed ALTO corridor, with evidence, exposure-adjusted analysis, reference-class comparison, and sensitivity scenarios
    Download PDF
    The Framework

    Ten dimensions, one hundred points

    The rubric scores a corridor on ten dimensions, grouped into four natural clusters: the ground and climate the corridor must cross (subgrade, bedrock, hydrology, climate); the geometry and hazard of the terrain (topographic relief, seismic and geohazard exposure); the environment and community it encounters (ecological footprint, heritage and Indigenous-rights constraints); and the corridor as a delivery and integration project (land acquisition, urban engineering content).

    Each dimension carries a weight reflecting its typical role in driving capital-cost dispersion across the reference class. Four cost-dominant dimensions — bedrock, climate, topography, and urban engineering — carry the maximum weight of 15 each. Subgrade and hydrology carry 10. The remaining four carry 5. The weights sum to 100, so the composite reads directly as a score out of 100. Each dimension is then scored on a granular scale up to its weight, against five descriptor levels: Minimal, Low, Moderate, High, and Extreme.

    20–60
    Low to Moderate — routine to standard HSR engineering
    most commissioned European and East Asian lines
    61–80
    High — multiple elevated dimensions; reference-class forecasting essential
    wide cost dispersion, overrun risk absent strong governance
    81–100
    Extreme — frontier engineering on several dimensions at once
    few or no directly comparable precedents

    The rubric reports two composites that answer different questions. The Peak Severity composite sums the granular scores, treating a dimension as fully present wherever its worst severity appears on the alignment — it characterises the engineering capability the corridor must provide at its most demanding locations. The Exposure-Adjusted composite scales each dimension by the fraction of corridor length at which that peak severity is actually present — it characterises the aggregate engineering burden spread across the whole route. Both are reported, because both bear on cost and schedule.

    Why this matters

    The rubric’s primary purpose is to discipline comparator selection. The standard failure mode in infrastructure forecasting, identified in the reference-class literature, is anchoring a forecast on favourable comparators while omitting the corridors whose complexity profile actually matches the proposed project. Explicit scoring against ten dimensions makes that selection step visible and checkable — only corridors with a similar dimensional profile are admitted to the reference class.

    The Application · ALTO

    The ALTO corridor scores 82 — Extreme

    Applied to the proposed ALTO corridor, the rubric returns a Peak Severity composite of 82 out of 100. The complexity is not attributable to any single factor; it arises from the simultaneous presence of multiple elevated dimensions across the ground, climate, environment, and land-acquisition clusters — the rubric’s definition of frontier engineering. Three dimensions reach their maximum, and two more sit at granular “High-plus” levels between the High and Extreme descriptors.

    ALTO Engineering Complexity Profile — Peak Severity, score / weight
    D1 Subgrade & soil — Leda clay
    10/10Extreme
    D2 Bedrock & excavation — Shield / karst
    13/15High+
    D3 Hydrology & hydrogeology — rivers / karst
    9/10High+
    D4 Climatic regime — continental cold
    13/15High+
    D5 Topographic relief & geometry
    10/15Moderate
    D6 Seismic & geohazard — clay / seismic
    4/5High
    D7 Ecological & protected-area footprint
    5/5Extreme
    D8 Heritage & Indigenous-rights
    4/5High
    D9 Corridor integration & land — greenfield
    5/5Extreme
    D10 Urban engineering content
    9/15Moderate
    Composite 82 / 100 — Extreme band (81–100). Three dimensions at maximum (subgrade, ecological, greenfield integration); two at High-plus (bedrock, climate). Bars show score as a fraction of each dimension’s weight.

    The two maximum scores that most distinguish ALTO are the subgrade dimension (10/10) and the greenfield land-acquisition dimension (5/5). The corridor traverses extensive Champlain Sea sensitive marine clay — Leda clay — across the Ottawa and St. Lawrence lowlands, a class named explicitly in the rubric’s top descriptor and associated with documented historical quick-clay failures. And the southern alignment is predominantly greenfield through actively farmed land, with property interests expected to number in the tens of thousands. The ecological dimension also scores at maximum: federally listed endangered species with designated critical habitat, a UNESCO biosphere reserve traversal, and significant wetland complexes.

    An interaction the score does not capture

    The composite treats dimensions as independent, but one coupling on ALTO deserves explicit attention: the interaction of maximum subgrade sensitivity (10/10) with elevated geohazard exposure (4/5). Ground-improvement works in sensitive clay can themselves destabilise marginally stable slopes — a failure mode with Canadian precedent. This is not reflected in any linear composite and should be treated as an explicit risk-register item, not a footnote.

    The Comparison

    Highest of fourteen corridors — and alone in the Extreme band

    Ranked against the worldwide database, ALTO occupies the top position by composite engineering complexity, and is the only corridor of the fourteen to fall in the Extreme band. The seven-point gap to California HSR crosses the High–Extreme boundary — a more substantive difference than the raw number suggests, because it marks the line beyond which directly comparable delivery precedent runs out.

    CorridorCompositeBand
    TGV Sud-Est, Paris–Lyon (1981)44Moderate
    Madrid–Sevilla AVE (1992)50Moderate
    Beijing–Shanghai HSR (2011)56Moderate
    HS1, London–Channel Tunnel (2007)61High
    HS2 Phase 1 (under construction)63High
    Tokaido Shinkansen (1964)66High
    Harbin–Dalian HSR (2012)68High
    California HSR (under construction)75High
    ALTO (proposed)82Extreme
    Selected corridors from the fourteen-corridor reference class. Full thirteen-corridor table in CAPEX Note 2.

    The comparison also shows why no single line is a clean match. California HSR’s complexity concentrates on seismic, topographic, and urban dimensions — factors well understood in California practice — but it does not face ALTO’s maximum subgrade and greenfield-integration scores. Harbin–Dalian is the nearest cold-climate reference, but it did not encounter sensitive marine clay. Ostlänken, in Sweden, is the closest analogue on ground conditions and climate, sharing the sensitive-clay and shield-bedrock profile — but not ALTO’s Extreme ecological footprint or the cold-climate severity of eastern Quebec. No reference corridor combines ALTO’s pattern of maximum subgrade, ecological, and greenfield-integration scores.

    A Fair Reading

    Concentrated, not uniform — the exposure-adjusted view

    The Peak Severity composite of 82 treats a dimension as fully present wherever its worst severity appears. But ALTO’s complexity is not uniformly distributed: Leda clay occupies a majority of the corridor, while the hard-rock Frontenac Arch crossing is concentrated in roughly 40 km and urban engineering is confined to four metropolitan termini. The Exposure-Adjusted composite, which scales each dimension by the share of corridor length at which its peak severity is present, comes to 73 out of 100 — in the upper High band, nine points below the Peak Severity figure.

    The gap between the two indices is itself the finding: it quantifies how much of ALTO’s complexity is concentrated rather than spread along the whole route. The dimensions with the largest downward adjustment — bedrock, urban engineering, and ecological — are real, significant engineering burdens, but ones concentrated in specific segments. Reported honestly, both numbers belong in any cost forecast: Peak Severity drives the design-capability case for independent peer review; Exposure-Adjusted informs the corridor-scale cost envelope.

    The 82 is also presented as a conservative baseline, not a worst case. The scoring follows a stated conservatism principle — where evidence straddles two levels, the lower score is taken unless the higher is documentably met. Six dimensions are identified where fuller review could justify an upgrade; if all six conditions were met, the composite would rise to 92. The defensible range is therefore 82–92 — all of it within the Extreme band.

    The Alternative

    Where the High Performance Rail alternative changes the score

    The complexity score is not a fixed property of the route — it is a property of this design choice for the route. The High Performance Rail (HPR) alternative is structured to avoid the most consequential maximum-score dimensions by design, and a parallel scoring of HPR against the same rubric is recommended as a companion exercise. Preliminary assessment places it in the Moderate-to-High transition, a range for which the database provides abundant delivery precedent.

    Land acquisition (D9): 5/5 → toward 2/5

    Greenfield land acquisition — ALTO’s maximum-score dimension — is substantially replaced by upgraded use of shared existing corridors, removing the tens-of-thousands-of-property-interests problem that places ALTO at the Extreme archetype.

    Subgrade & ecology (D1, D7): materially mitigated

    Following existing corridors means the sensitive-clay and critical-habitat crossings have, in large part, already been engineered or disclosed — rather than encountered fresh along a new greenfield alignment.

    Urban engineering (D10): unchanged

    HPR uses the same existing urban rail corridors into the same metropolitan termini, so urban engineering content stays at or below its current score — a useful reminder that the alternative is not a free lunch on every dimension.

    The Honest Answer

    What does an Extreme score oblige?

    The rubric is explicit on this point, and it is not a matter of opinion: an Extreme-band project requires independent peer review and reference-class forecasting as mandatory, not discretionary. These are the mechanisms by which a frontier-engineering project is costed responsibly. They are not discharged by a public consultation, nor by a standard environmental assessment.

    The primary governance finding of the scoring exercise is the absence of those mechanisms from the current procurement trajectory. That is not, in itself, a verdict that the corridor should not be built. It is a statement that the cost number attached to it cannot yet be relied upon — because the discipline that would make an Extreme-band forecast trustworthy has not been applied to it.

    This is the same shape of argument the Initiative’s financial work makes elsewhere: the question is rarely whether a number is high or low, but whether the method behind it can be audited. A reader who knows the corridor scores in the Extreme band can ask, of any cost forecast presented for it, which comparators were used — and whether they were dimensionally matched, or merely favourable.

    For the Next Cost Estimate

    Three questions to ask of any HSR cost forecast

    Each follows directly from the rubric. None presupposes opposition to any project. Each is the kind of question the method requires to be answered before a cost figure can be trusted.

    1. Which comparators were used — and what do they score?

    A forecast anchored on lines scoring in the 40s or 50s is borrowing the cost of a fundamentally less demanding corridor. Ask for the complexity score of each comparator, and whether any of them is dimensionally matched to the proposed corridor rather than simply convenient.

    2. Has independent peer review and reference-class forecasting been done?

    For an Extreme-band corridor these are mandatory, not optional. If they have not been performed, the cost estimate is provisional by definition, however precise the headline figure looks.

    3. Have the interaction effects been costed, not just the dimensions?

    The composite treats dimensions as independent; real corridors do not behave that way. For ALTO specifically, the subgrade–geohazard coupling — remediation works in sensitive clay potentially triggering slope failures — belongs on the risk register as an explicit line item.

    None of these questions presupposes a view about whether the corridor should be built. Each is the kind of question a reasonable reader would ask before forming one — and each is a question the published cost materials have so far not been pressed to answer in the terms the method requires.

    Sources

    The two notes and their evidence base

    This brief synthesises the two engineering-complexity notes produced by the Initiative. Both are available in full below, with the complete descriptors, weighting rationale, dimension-by-dimension evidence, exposure analysis, and sensitivity scenarios summarised here.

    1.ALTO HSR Citizen Research Initiative, CAPEX Note 1: Engineering Complexity Rubric v1.0, April 2026 — the ten-dimension framework, five-level descriptors, weighting rationale, the Peak Severity and Exposure-Adjusted indices, and the illustrative application across thirteen reference corridors.
    2.ALTO HSR Citizen Research Initiative, CAPEX Note 2: ALTO Engineering Complexity Scorecard, April 2026 — the rubric applied to the ALTO corridor, with dimension-by-dimension evidence, exposure-adjusted analysis, reference-class comparison, and the 82–92 sensitivity range.
    3.Reference-class forecasting method — Flyvbjerg and colleagues on demand- and cost-forecast accuracy in transport megaprojects, and the reference-class forecasting procedure for disciplining comparator selection.
    4.Primary evidence datasets — Ontario Geological Survey and Geological Survey of Canada (geology); Natural Resources Canada 2020 seismic hazard model (seismic); Species at Risk Public Registry (species); UNESCO MAB and Ontario Parks (protected areas), as cited per dimension in CAPEX Note 2.
    5.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.
    6.ALTO HSR Citizen Research Initiative, The Cost of Running the Train (Operating-Cost Brief), May 2026 — the recurring-cost companion to this capital-cost analysis.