Strategies To Relieve Subway Crowding: Case Study From The Toronto Context
Bibliographic record
Abstract
The Toronto region is a growing area, but is increasingly constrained by underinvestment in the rapid transit network. The lack of capacity in the transit network is felt most strongly along the Yonge Subway line that runs along the central backbone of the city and serves as the primary transit artery into the downtown. The subway is overcrowded today and, despite improvements coming on board in the near term including new signalling and higher-capacity trains, demand is predicted to continue exceeding capacity in the future. A number of strategies have been developed to address subway congestion, several of which are potentially relevant for cross- jurisdictional application. The Toronto Transit Commission (TTC) has developed a proposal for a new rapid transit line that will create a connection between two existing perpendicular subway lines, increasing capacity into Toronto’s downtown core. Other proposed options include significant upgrades of Toronto’s commuter rail network into a regional rail service providing faster and more frequent service as well as a higher level of integration between the urban and regional networks. This paper describes the development and evaluation of potential interventions to improve the rapid transit network’s ability to provide quality service to customers. The solutions considered for Toronto – both infrastructure and operational changes – may provide guidance for other cities and agencies facing similar challenges.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".