Effect of Parking Charges at Transit Stations on Park-and-Ride Mode Choice
Bibliographic record
Abstract
The objective of this study was to investigate the effect of increasing parking charges at park-and-ride stations on mode choice for current park-and-ride users. To address this objective, a stated preference (SP) survey was designed to study commuters’ willingness to pay for parking at park-and-ride transit stations. The SP survey was conducted at the 14 busiest park-and-ride transit stations in Greater Vancouver in British Columbia, Canada. The survey data were then used to model mode choice for longer-distance commuting trips by considering three major options: automobile all-way, transit all-way, and park-and-ride. A heteroscedastic multinomial logit model for stated preference of modal choices was estimated. The model included several major factors that were found to influence mode choice at park-and-ride stations. The estimated model parameters were then used to investigate direct and cross elasticities of parking charges at park-and-ride stations to mode choices. The model results show that an increase in parking charges at park-and-ride stations is more likely to divert current park-and-ride users to the transit all-way option compared with the private car all-way option.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".