Projet de cohabitation sur les rues piétonnes à Montréal : expériences piétonnes sur l’avenue du Mont-Royal
Bibliographic record
Abstract
Depuis la pandémie de COVID-19 en 2020, des espaces favorisants les déplacements actifs ont émergé dans plusieurs villes à travers le monde. Cela peut prendre forme en espaces partagés entre usager-ères de transport actif comme c’est le cas dans la ville de Montréal avec la création d’une Zone lenteur sur quelques rues commerciales. La littérature portant sur ces espaces partagés explore davantage les risques et la sécurité réelle des personnes piétonnes que les expériences que peuvent vivre les personnes circulant à pied. Dans ce contexte, ce mémoire se penche sur la question suivante : comment le partage de l’espace des piéton-nes et des cyclistes affecte-t-elle l’expérience des piéton-nes, dans le cadre du projet de Zone lenteur sur l’avenue du Mont-Royal à Montréal ? Les expériences piétonnes sont représentées à l’aide du sentiment de sécurité, de la sociabilité et des perceptions face à l’environnement urbain, à travers les perceptions sensorielles, découlant du concept de perception de l’espace. Pour ce faire, des parcours commentés ont été réalisés avec 15 personnes circulant à pied sur l’avenue du Mont-Royal à l’été 2022. Nos résultats font émerger trois typologies d’expériences piétonnes : insécurité – insécurité ponctuelle – plaisir. Le sentiment de sécurité est un élément essentiel pour atteindre une expérience positive et un épanouissement comme personne qui circule à pied sur l’avenue du Mont-Royal dans un contexte de cohabitation avec les cyclistes. \n \nSince the COVID-19 pandemic in 2020, spaces encouraging active travel have emerged in many cities around the world. It can take the form of shared spaces between active transport users, as is the case in the city of Montreal with the creation of a Slow Zone on some commercial streets. The literature on these shared spaces focuses more on the risks and actual safety of pedestrians than on the experiences of people on foot. In that context, this research addresses the following question: how does the sharing of space between pedestrians and cyclists affect the pedestrian experience, in the context of the Slow Zone project on Avenue du Mont-Royal Montreal? Pedestrian experiences are represented in terms of feelings of safety, sociability, and perceptions of the urban environment, through sensory perceptions derived from the concept of perception of space. To this end, walk-along were carried out with 15 people walking along Mont-Royal Avenue in summer 2022. Our results revealed three types of pedestrian experience: insecure, occasionally insecure and pleasurability. The feeling of safety is an essential element in achieving a positive experience and fulfillment as a person walking on avenue du Mont-Royal in a context of cohabitation with cyclists.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.001 |
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".