The ability of urban parks to reduce air temperatures of surrounding neighbourhoods: A study of 4 Toronto parks
Bibliographic record
Abstract
With increasing world population and urbanization, the need for reducing urban temperatures and their associated health consequences is becoming more critical. Vegetated urban parks can be up to 6°C cooler than their urban surroundings; however, conflicting micro-scale research exists on their ability to reduce local urban heat islands. The aim of this study was to investigate the potential of park cooling to mitigate the urban heat island effects of their surroundings. Using instruments mounted to the front of a bicycle at 105m above ground level; air temperature, solar radiation, and humidity were measured at 2m intervals along four street-park-street linear transects in Toronto, Ontario. Results indicated that parks were cooler than their surrounding streets, and that park cooling, while variable, can extend almost 100m beyond a park's borders. In conclusion, these findings generate design implications that inform urban park design, creating cooler neighbourhoods, increased human thermal comfort, and climate-sensitive design.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".