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Record W2022081878 · doi:10.1061/9780784413210.025

Conceptual Physical Design of Bus Rapid Transit (BRT) in Dhaka

2013· article· en· W2022081878 on OpenAlexaff
Sudip Barua, Dhrubo Alam, Mudasser Seraj

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicUrban Transport Systems Analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBus rapid transitPublic transportTransport engineeringCapital cityBusinessSustainable developmentTransit (satellite)Traffic congestionPopulationEngineeringGeographyEnvironmental health

Abstract

fetched live from OpenAlex

Dhaka, the capital city of Bangladesh, is the largest and most industrialized city with 15 million people. Due to rapid unplanned development, versatile land use, rapid population growth, poor public transport system, and increase of private car users, traffic problems are worsening day by day. The only mass transit is bus, which is insufficient in terms of safety, capacity, comfort, and convenience. Considering the worsening congestion it is high time to develop effective mass transit system such as Bus Rapid Transit (BRT) as a means for achieving sustainable urban transport in the city. In this paper an attempt has been made to propose a conceptual physical structure of BRT for the line3, which starts from Uttara and ends in Ramna covering around 18.5 km. The BRT stations and runways are designed in a way to satisfy the ever-increasing public transport demand of achieving a sustainable urban public transport system.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0090.001

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 head0.014
GPT teacher head0.174
Teacher spread0.160 · 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 designTheoretical or conceptual
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
Published2013
Admission routes1
Has abstractyes

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