Getting On Track With Green Growth: Exploring The Planning Of Transit- Oriented Communities
Bibliographic record
Abstract
This paper explores the planning of Transit-Oriented Communities with a focus on two of Canada's most populous cities - Vancouver and Toronto. The current state of practice is investigated through case studies of the Cambie Corridor Plan in Vancouver and the Eglinton Connects Study in Toronto, aiming to uncover perspectives, challenges and success factors of these projects. Moreover, the research explores how sustainability beyond conventional Transit-Oriented Development practices is incorporated into the case studies, and whether these areas may result in what could be considered 'Green Transit-Oriented Development' – a term used for an enhanced ultra-environmentally friendly form of Transit-Oriented Development (TOD). \nThe paper finds that these cities do well in terms of planning for Transit-Oriented Communities with the above projects, and transit-oriented planning efforts are supported by a solid policy framework at the regional and provincial levels. Both cities selected planning at the corridor scale as the preferred approach, as well as an emphasis on the shift to predominantly mid-rise development. Common initial challenges were exhibited in both cases, mainly in terms of partner collaboration and public engagement. Yet in the end, the establishment of strong partnerships and public involvement are also perceived as key success factors. Political support is recognized as a strongly influential factor, which can either stifle planning projects such as Cambie and Eglinton, or encourage them to become transformational opportunities. The influence from varying levels of political support is particularly illustrated with the ways the cities pursue sustainability. Beyond conventional transit-oriented development practices, the ambition and bold greening standards of Vancouver will see that the Cambie Corridor results in LEED gold development. In addition, Vancouver has capitalized on the anticipated redevelopment to ensure the integration of energy planning and promote a corridor serviced entirely by a low-carbon district energy network. Conversely, the Eglinton project displayed a mandate span that was limited in terms of advancing sustainability initiatives, and neither green building development nor energy planning were a part of the Study scope. Advanced green building is reliant upon incentives from the Toronto Green Standard Tier 2 achievements and the potential for district energy was seemingly overlooked. Thus, the paper concludes that Vancouver presents a leading example of synergistic planning that directs transit and low-carbon supported density, and better exhibits a green TOD-like endeavour. Finally, Toronto and other cities could learn from Vancouver and strive to improve sustainability goals, cultural commitment, and enabling planning policy.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".