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Record W4406195392 · doi:10.1016/j.trpro.2024.12.230

Cyclist-Pedestrian Cohabitation: Lessons to learn from a pilot project on pedestrians streets in Montréal (Canada)

2025· article· en· W4406195392 on OpenAlexaboutno aff
Philippe Brodeur-Ouimet, A-A Lamarche

Bibliographic record

VenueTransportation research procedia · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsnot available
Fundersnot available
KeywordsPedestrianCohabitationTransport engineeringEngineeringPsychologyApplied psychologyGeographyArchaeology

Abstract

fetched live from OpenAlex

Among Montreal pedestrian streets summer projects in 2021, two locations (Mont-Royal Avenue and Wellington Street) have set up a pilot project considering the cohabitation between pedestrians and cyclists by authorizing cyclists to stay on their bike at a slow pace while it's forbidden on other pedestrian streets. This paper aims to document this cohabitation at three specific sites (two where cyclists are permitted and one where they are not) based on observations of cyclist's behaviours and their interactions with pedestrians. Direct observations of cyclists (n=1371) were conducted through a grid regrouping items about cyclist characteristics, actions and interactions with a pedestrian. The results show that cyclists' behaviours are fairly predictable and one third of them were involved in an interaction with a pedestrian. For the small number of cyclists who engaged in unsafe behaviours, young males and other vehicle types (i.e., Segways, rollerblades, cargo bikes, etc) are overrepresented.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.941

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.110
GPT teacher head0.429
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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