The impact of pedestrian countdown signals on single and two vehicle motor vehicle collisions: a quasi-experimental study
Bibliographic record
Abstract
The objective of this study was to examine the impact of pedestrian countdown signals (PCS) on the rate of motor vehicle collisions (MVCs) in Toronto, Canada. A quasi-experimental design was used to compare rates of single and two vehicle MVCs before and after installation of PCS in Toronto, Canada between January 2005 and December 2009. Collision incidence rates were compared using Poisson regression analyses with adjustment for relevant cofounders and reported as incidence rate ratios (IRR) with 95% confidence intervals (CI). Secondary analyses were performed on subsets of collisions by collision type and injury severity. A total of 94,175 MVCs occurred at or near 1965 intersections at which PCS were installed over the five-year study period. Overall, the MVC incidence rate increased 7.5% (IRR = 1.075; 95% CI: 1.042-1.109; p < 0.0001) after installation of PCS. The installation of PCS led to an increase in MVCs. PCS may have an unintended consequence of increasing the rate of MVCs.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".