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Record W3166165522 · doi:10.1016/j.trd.2021.102915

Do new urban and suburban cycling facilities encourage more bicycling?

2021· article· en· W3166165522 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueTransportation Research Part D Transport and Environment · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsUniversity of TorontoToronto Metropolitan University
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Toronto
KeywordsCyclingOddsTransport engineeringSustainable transportPoison controlBuilt environmentEngineeringGeographyBusinessEnvironmental healthCivil engineeringSustainabilityLogistic regressionMedicine

Abstract

fetched live from OpenAlex

Cycling facilities have become a widely used sustainable transportation policy tool, but their impacts on reduced car dependence are difficult to isolate. This paper presents the findings from a household survey conducted in 17 neighbourhoods in the Toronto region, Canada, some with a recently built cycling facility and some without. Results indicate higher odds of increased commute-related bicycling on streets with a new cycling facility. People who were already commuting by bicycle at least once a week are likely to bicycle more frequently after new facilities are built. Bicycling uptake is more obvious in neighbourhhods with a new cycle track, while changes relating to bicycle lanes were not statistically different from neighbourhoods without a facility. All else being equal, urban cycling facilities were associated with higher odds of increased commute-related bicycling, compared to suburban locations. Findings offer insights into expected outcomes of bicycle network expansion policy/projects.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.200
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.069
GPT teacher head0.347
Teacher spread0.278 · 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