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Public transportation accessibility: towards sustainable transit oriented development (Case study: Depok Baru Station – Jakarta, Indonesia)

2018· article· en· W2902575738 on OpenAlexaff
Winoto Hadi, Yusfita Chrisnawati, Hobir Nur Ikhsan

Bibliographic record

VenueIOP Conference Series Earth and Environmental Science · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsTransport Canada
Fundersnot available
KeywordsBaruTransport engineeringPedestrianPublic transportIndex (typography)Sustainable developmentTransit-oriented developmentSustainable transportEngineeringGeographyComputer scienceSustainabilityPolitical science

Abstract

fetched live from OpenAlex

Pedestrian accessibility considered as an important factor in developing a Transit Oriented Development (TOD) concept to improve peri-urban developments. Depok Baru Station is having a potential value to be expanded as a TOD area in order to support Jabodetabek urban planning. This paper aims to figure up the pedestrian accessibility levels in Depok Baru Station based on time by calculating the pedestrian walking time during transfer modes. Adopting Public Transportation Accessibility Levels (PTAL) methods, this paper will measure accessibility index (AI) using the primary data from direct observation and secondary data from related data documents. Research findings deliver accessibility index (AI) value from two modes namely commuter line and local public transport as the basic knowledge to be considered as a TOD component.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.003
Scholarly communication0.0000.004
Open science0.0000.000
Research integrity0.0000.000
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 head0.031
GPT teacher head0.268
Teacher spread0.236 · 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; both teacher heads agree on what is shown here.

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
Published2018
Admission routes1
Has abstractyes

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