Transit accessibility, land development and socioeconomic priority: A typology of planned station catchment areas in the Greater Toronto and Hamilton Area
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Greater Toronto and Hamilton Area is in the process of implementing a wide array of transit expansion projects. Despite being an important evaluator of transit efficacy, accessibility is not a typical variable included in the business cases of the local planning authorities. We address this shortcoming by computing current and future accessibility scores for each proposed transit route and station. Our results are compared against measures of availability of developable land within station catchment areas and the socioeconomic priority of populations residing within catchment areas. A typology of station types is produced via a multi-criteria analysis, and this is further used to assess the efficacy of the transit plans in meeting the redevelopment and intensification goals and social priorities in the region. We are able to conclude that significant mismatches between accessibility and developable land exist. Furthermore, there is a lack of alignment between accessibility and socioeconomic priority; however, where these two criteria align, risks of redevelopment-based gentrification are low, due to the unavailability of readily developable land in these station catchment areas.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it