Beyond TOD: Establishing Upper Bounds of Transit-Supportive Neighborhoods
Bibliographic record
Abstract
There is a substantial body of literature regarding the price effects of light rail transit accessibility on residential properties. However, few use market response to establish the upper bounds of transit-supportive neighborhoods, which extend beyond development in the core station area. This paper closes some of this gap in the research. The authors estimate the association between TRAX, the light rail system serving Salt Lake County, Utah, and the value of different sized single-family residential lots. Using one-quarter mile distance-bands from light rail stations out to one and one-half miles, the authors evaluate variations in response according to small and conventional lot size categories. Controlling for structural, neighborhood and location characteristics, the authors find a generally positive relationship between TRAX station proximity and residential values out to one and one-quarter miles. However, a negative impact is captured for lots located in the core station area. Variations in value are present in the different lot size categories, and implications for planning transit-supportive neighborhoods are offered.
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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 | 0.005 | 0.046 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".