Descriptive Analysis of Mode Choice Patterns Before and After the Introduction of a Bus Rapid Transit System: A Case Study of VIVA in York Region, Canada
Bibliographic record
Abstract
In 2005, York Region introduced a new bus rapid transit service, known as VIVA. The system features high operating speeds, offline fare payment, advanced traveller information system, and other intelligent transportation systems (ITS) technologies. Using data from two major travel surveys, this paper describes changes in mode choice behaviour in York that occurred when the service was introduced. It is shown that there has been an appreciable increase in transit use in York above what was observed in the control region and that transit use is increasing more rapidly in York. Certain demographic segments contributed much more to this change than others. Trip-makers between the ages of 16-25 contributed to 45% of new transit trips. The contribution of home-based work and post-secondary trips was also substantial; these trips account for 76% of York’s new transit trips.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".