Bibliographic record
Abstract
The City of Calgary, Alberta, Canada, has implemented a pilot test of the pedestrian scramble operation (also known as the Barnes dance) at two intersections in the downtown area. Pedestrian scramble is an exclusive pedestrian signal phase in which traffic in all four directions is stopped and pedestrians are allowed to make diagonal as well as lateral crossings. The purpose of this study is to evaluate the pilot project at one intersection to determine the effect of this new operation on pedestrian safety. Because of the absence of pedestrian–vehicle crashes in this study, the number of pedestrian conflicts was used as a surrogate measure of safety. Field observations were made 6 weeks after the implementation of the scramble operation. Two Poisson regression models were developed to model the number of conflicts and violations. The results showed that the number of pedestrian–vehicle conflicts decreased significantly but the number of pedestrian violations increased significantly after implementation of the scramble operation. The analysis also revealed that 13% of the total violations were “safe side” crossings (concurrent with the vehicle movement), 2% of the violations were “unsafe side” crossings, and about 40% of the total violations were at the beginning of the flashing “Don't Walk” phase (within 2 to 3 s) and persons were able to cross safely within the pedestrian phase. A survey was also conducted to monitor public perception, and the results showed a generally positive attitude toward this new signal operation. It is recommended that the operation be monitored over time and evaluated again.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".