MétaCan
Menu
← Back to cohort
Record W744576265

A Longitudinal Assessment of the Relationship Between Land Use, Land Values, and Bus Facilities

2007· article· en· W744576265 on OpenAlexaboutno aff
Gwendolyn C Goodwin, Carol Abel Lewis

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsnot available
Fundersnot available
KeywordsMetropolitan areaCensusTransit (satellite)Transport engineeringQuarter (Canadian coin)MileGeographyLand useBusinessLand ValuesSocioeconomic statusPublic transportAgricultural economicsEngineeringPopulationCivil engineeringEnvironmental healthEconomics
DOInot available

Abstract

fetched live from OpenAlex

This study is designed to measure the potential impacts that transportation facilities have on adjacent properties compared to non-adjacent properties within a quarter mile. Previously done in 1997, this study is updated with information from 2000 and 2004. Census data were obtained to measure demographic changes from 1980 to 1990 and with county appraiser’s office data were used to examine the relationship between socioeconomic variables and the transit facility. Previously, the 1997 study looked at four transit centers and one park and ride facility in Houston’s Metropolitan Transit Authority (METRO). The current study adds three transit centers from the Central Ohio Transportation Authority (COTA). Because the transit centers were products of transit oriented development, facilities in Columbus differ in appearance and purpose from Houston’s facilities. Findings in this study indicate that transit facilities can affect land value.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.109
GPT teacher head0.364
Teacher spread0.255 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2007
Admission routes1
Has abstractyes

Explore more

Same topicUrban Transport and Accessibility→French-language works237,207→