The pursuit of cycling equity: A review of Canadian cycling plans
Bibliographic record
Abstract
Cycling continues to be prioritized as a mode of transport with multiple environmental and health benefits. However, the benefits associated with cycling are not always equitably distributed throughout society meaning that some people (people with low income, members of minority groups) may not have access to safe and convenient spaces in which to cycle. Furthermore, cycling infrastructure does not always accommodate the varying needs of all members of society across gender and age categories. Based on a systematic review of the literature, we identify four key themes to examine the degree to which Canadian transport plans have (1) considered of equity in projects and priorities, (2) incorporated equity-oriented funding mechanisms, (3) incorporated accessibility, design and safety measures and (4) conducted socio-spatial network analysis to determine where cycling investment is needed. While many Canadian plans do address issues related to equity, there is room for improvement, for example, further work to meaningfully engage with disadvantaged groups throughout the planning process could help to improve cycling for everyone.
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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 | 0.009 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.019 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".