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Record W335562795

Walking to Transit: Influence of Built Environment at Varying Distances

2011· article· en· W335562795 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueITE journal · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsnot available
Fundersnot available
KeywordsTransit (satellite)MileBuilt environmentTransport engineeringStandard deviationDescriptive statisticsQuarter (Canadian coin)Regression analysisEnvironmental scienceWork (physics)GeographyStatisticsMathematicsPublic transportEngineeringGeodesyCivil engineering
DOInot available

Abstract

fetched live from OpenAlex

This study investigates the role of the built environment on walking to transit stations by examining communities situated within quarter-mile and half-mile distances from Dallas Area Rapid Transit (DART) light rail transit stations in Texas. Walking to transit is calculated as a percentage of transit users who walk to the DART stations. This information was gathered through a 2000 on-board customer survey. Descriptive analyses of the built environment were performed and mean, standard deviation and the difference in means were calculated for 30 independent variables. The results suggest that constructs of the built environment vary based on distance of walking. Bootstrap regression analysis at both distances showed that although sidewalk density showed a positive association with walking to transit at both distances, other density indicators, such as employment and housing density, showed a negative association with walking. The findings from this study suggest that built environment variables should be analyzed for their effects at varying distances before policy recommendations are made to increase walking, since a “one size fits all” approach may not work at every distance. Directions for future research are discussed.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score0.947

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.036
GPT teacher head0.280
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it