The effect of urban open spaces on winter wind speed in residential Guelph, Ontario
Bibliographic record
Abstract
Contemporary North American urban form has primarily evolved under economic, political, and technological forces. Often ignored is the role of natural process M developing an environmentally responsive urban form and vernacular design language. Urban design literature commonly states that to develop a vernacular we must consider context. Of the many factors that contribute to context, regional microclimate is arguably the most distinct. Open space, as a major component of the public realm considered m urban design, has changed over time to hold various meanings and functions. However, the impact of open space on microclimate within an urban setting is not clear. This thesis examines the effect of selected urban open spaces on winter wind speed within residential neighbourhoods in Guelph, Ontario, Canada. Study sites were located downwind of open spaces in the direction of the prevailing winter winds. Estimates for each study site were made using an existing empirical microctimatic model obtained from the literature. Wind speed and direction was measured at a standard height of 1.5 m along residential streets. Comparisons between the estimated and measured data illustrate that the complexity of these particular urban situations cannot be easily explained through simple models. A new hypothesis and model for wind movement along residential streets were developed to better explain the relationship between the physical structure of urban form and the physical characteristics of wind movement. Conclusions state the practical implications for both planners and designers for developing an environmentally responsive urban form, and suggest a possible new role for open spaces in an urban setting.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".