Eglinton Crosstown and Evergreen Line LRTs - Structural Design on Mass Transit Projects
Bibliographic record
Abstract
The structural design for urban transit projects has its unique challenges, such as train dynamic loadings and rail-structure interactions. Mass transit systems in an urban environment often involve guideway in tunnels, including bored tunnel and cut and cover tunnels. The tunnel structural design must take into consideration the integration of passenger train system requirements such as dynamic envelope, space for cables, emergency walkways, and train control. Using the Eglinton Crosstown and Evergreen Line projects as examples, the structural design challenges and solutions for a light rail system are discussed, and lessons learned from past projects are summarized. The “Crosstown” is a light rail transit line currently under construction in Toronto, Ontario and will run across Eglinton Avenue between Mount Dennis and Kennedy Station. The 19-kilometre corridor includes a 10-kilometre underground portion, 25 stations and stops, and a maintenance and storage facility and operations and control centre. The Evergreen Line is an 11-kilometre extension to the existing SkyTrain system in Metro Vancouver which was completed in 2016. It contains elevated guideway, at-grade guideway, bored tunnel and cut and cover tunnels, stations, and a vehicle storage facility.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".