Zoning In on Transit-Oriented Development
Bibliographic record
Abstract
Problem, research strategy, and findings Transit-oriented development (TOD) has been widely encouraged as a strategy to limit urban sprawl, increase urban density, and enhance neighborhood diversity. Federal and regional governments have been increasingly promoting such TOD in parallel with light rail transit (LRT) projects to foster sustainable transitions. Little is known, however, about the processes through which municipalities have made changes to existing land use regulations to achieve TOD goals. In this article we trace changes in municipal plans and bylaws surrounding a CA$7 billion LRT in Montréal (Canada) that opened in summer 2023, 7 years after its announcement. Specifically, we analyzed whether changes in municipal bylaws conformed to TOD plans recommended by the metropolitan government while exploring local barriers to zoning reform. Through policy and spatial analysis, we found that only a limited number of municipalities made sufficient bylaw changes between 2016 and 2022 to support TOD plans aimed at implementing mixed-use zoning, increasing urban density, and reducing parking ratios. Through an analysis of rezoning processes, we see an opportunity for improved multilevel cooperation, public engagement activities, and positive communication strategies in the process of building integrated transport and land use systems.Takeaway for practice These findings can aid planners and policymakers in understanding the importance of reforming municipal zoning bylaws and regional approaches to TOD, strengthening collaboration between different levels of government, and engaging in meaningful public consultation practices to foster an integrated transport and land use approach. If LRT projects are to be successful in meeting sustainability goals, greater engagement with land use regulations across multiple scales is needed to facilitate TOD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".