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Record W2014285129 · doi:10.2495/978-1-84564-908-1/01

Inserting bus rapid transit into an existing transportation system: the Mexico City experience

2014· article· en· W2014285129 on OpenAlexaboutno aff
Gary Sands, Laura A. Reese, M. Arteaga, Curtis Huffman, Lina Buchely, J. Latargere, Alvaro E. Canga Ruiz

Bibliographic record

VenueWIT Transactions on State-of-the-art in Science and Engineering · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicTransportation Planning and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsBus rapid transitTRIPS architecturePublic transportTransport engineeringTrainCapital cityBusinessTransit (satellite)Transit systemService (business)Quarter (Canadian coin)GeographyEngineeringMarketing

Abstract

fetched live from OpenAlex

In 2005, Mexico City introduced MetroBus, a single BRT line along Avienda de Insurgentes, the main north-south artery through the capital. The line has been well received, attracting more than a quarter million riders every weekday. This single line has connections to suburban trains, the metro system and both the public and private bus systems. This paper reports on a survey of BRT passengers that focused on how MetroBus trips have been integrated with other transportation modes, how the cost of MetroBus compared with total trip costs, general service quality, and desired new routes. It also highlights how BRT can be used in conjunction with other mass transit options to facilitate travel in even the most congested cities, contributing to a more sustainable urban environment.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.155
Threshold uncertainty score0.308

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
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 head0.019
GPT teacher head0.261
Teacher spread0.242 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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