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Record W612248909

Toward Equitable Transit: Examining Transit Accessibilityand Social Need in Toronto, Canada, 1996-2006

2013· article· en· W612248909 on OpenAlexaboutno aff
Nicole Foth, Kevin Manaugh, Ahmed El-Geneidy

Bibliographic record

VenueTransportation Research Board 92nd Annual MeetingTransportation Research Board · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsnot available
Fundersnot available
KeywordsPublic transportCensusEquity (law)DisadvantagedTransit (satellite)Social equalityDisadvantageBusinessPopulationGeographyTransport engineeringEconomic growthEconomicsPolitical scienceSociologyEngineeringDemography
DOInot available

Abstract

fetched live from OpenAlex

The location of transit infrastructure distributes publicly-funded benefits to residents throughout a region. However, these benefits are not always distributed equally among different population groups. This research seeks to determine whether the benefits of Toronto’s public transit system are equitably distributed, and how these benefits change from 1996 to 2006 after the implementation of several transit projects in the region. The authors develop a methodology using a social indicator based on census tract level socio-economic characteristics to measure the relationship between social disadvantage and accessibility to jobs and transit travel time in the Toronto region over time. Transit equity is examined at three levels: spatially, temporally, and by job type. The authors find the range in accessibility and transit travel time narrows over the 10 year period. In addition, the most socially disadvantaged census tracts have statistically significantly better accessibility and lower transit travel times relative to the rest of the region in both 1996 and in 2006. Our findings show that Toronto has a generally equitable transit system that benefits those in social need, who are likely to gain the most from transit. The methodology proposed presents a useful way to bring issues of social equity directly into the land use and transportation planning process.

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.

How this classification was reachedexpand

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)0.012
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0030.002
Scholarly communication0.0010.004
Open science0.0020.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.096
GPT teacher head0.399
Teacher spread0.303 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2013
Admission routes1
Has abstractyes

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