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Record W2098796811 · doi:10.3141/1760-05

Bus Rapid Transit Institutional Issues: The Route from Research to Experience

2001· article· en· W2098796811 on OpenAlexaboutno aff
Mark A. Miller, Stephen M. Buckley

Bibliographic record

VenueTransportation Research Record Journal of the Transportation Research Board · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicTransportation Planning and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsBus rapid transitPoliticsLiabilityPublic transportBusinessPublic relationsMarketingOpposition (politics)FinanceTransport engineeringPolitical scienceEngineering

Abstract

fetched live from OpenAlex

The institutional aspects of bus rapid transit (BRT) are investigated through a macroscopic examination and a survey of members of FTA’s BRT Consortium and several Canadian transit properties. The macroscopic examination resulted from a literature review, project team brain-storming meetings, and input from FTA’s BRT staff. Several dozen issues were identified and grouped into nine categories that formed the basis of the survey—intergovernmental and interorganizational; intratransit property; political; public relations and marketing; funding and finance; labor; safety and liability; planning and land use; and the physical environment. Specific issues were identified that, overall, are both the most important and most difficult to resolve—local and business community opposition to the removal of, or restrictions on, parking spaces for use; availability and acquisition of right-of-way or physical space; integration of multiple priorities, objectives, and agendas; concerns over longterm funding commitments to BRT; BRT effects on roadway operations; finding political champions to support BRT; gaining community support for transit-oriented development; and educating the public about BRT and managing perceptions and expectations. Although a small set of opinions was obtained, the investigation and analysis of survey responses was based on the insight and expertise of individuals who have experienced these institutional issues. This study should offer guidance to anticipate future problems and develop strategies to resolve them.

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)0.014
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience 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 score0.394
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.007
Science and technology studies0.0050.003
Scholarly communication0.0010.001
Open science0.0030.000
Research integrity0.0000.003
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 head0.165
GPT teacher head0.452
Teacher spread0.288 · 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

Citations15
Published2001
Admission routes1
Has abstractyes

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