Impacts of Transportation Planning on Economic Development: The relationship between economic, social, and environmental variables and transit hubs measured through spatial statistics
Bibliographic record
Abstract
The objective of this research is to identify the rate of change surrounding transit lines in the regions of Montreal, Vancouver, and Toronto. The rate of change is observed through a sustainability lens bringing to light the economic, social and environmental perspective. The shift between once rural to urban settlement had advanced the study of globalization research. \n \nThrough the adoption of Canadian census and satellite imaging a 25-year rate of change analysis is performed. A total of seven variables are measured to identify whether a consistent rate of change could be retrieved between the 1981 and 2006 census years: (1) average dwelling value; (2) average number of rooms per dwelling; (3) average gross monthly rent; (4) average household income represent economic variables; (5) population density; (6) average number of persons per household represent social variables; and (7) the removal of green space represents environmental variables. \n \nIn the case of Metropolitan Vancouver, data shows a strong relationship between the rates of change in variables over the 25-year period meaning growth and development occurred along transit. In the case of the City of Toronto, data points to moderate development along the selected transit line. In the case of Metropolitan Montreal, no distinct rate of change was observed meaning that transit did not foster urban development growth.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| 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".