Pembina Highway Buffered Bike Lane Project - A Solution to Managing Cyclists, Buses and Pedestrians at Transit Stops
Bibliographic record
Abstract
Pembina Highway is a vital north-south link in the City of Winnipeg's Regional Transportation Network connecting the University of Manitoba, the Central Business District, the Perimeter Highway and the Inner Ring Strategic Road Network. It is considered a mixed use corridor and includes diverse multi-family housing options. The subject section of Pembina Highway between Chevrier Boulevard and Plaza Drive is a six-lane divided arterial road and truck route with approximately 48,000 vehicles per weekday, over 600 transit buses per weekday, highly utilized by cyclists and there is moderately high pedestrian activity. Prior to 2012, this portion of Pembina Highway was a critical gap in the City's Active Transportation Network. With limited alternative streets available to cyclists that carry less vehicular traffic, Pembina Highway needed a dedicated facility to accommodate the cycling demand. Environmental scans of other jurisdictions revealed that the existing traffic and road characteristics of Pembina Highway are quite unique. Through various decision making techniques and stakeholder consultations, the City determined that a buffered bike lane would be the optimal solution. A design solution was also required to manage the high volumes of buses and pedestrians with cyclists at the transit stop locations. One example from Portland and a bus-stop island concept utilized by Austroads set the stage, showing the bus stop intercepting the buffered bike lane with the cyclists going behind the bus-stop and in front of the sidewalk. (A) For the covering abstract of this conference see ITRD record number 201310RT334E.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.004 |
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".