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Record W7131215793 · doi:10.14710/jpk.13.1.83-91

PENGUKURAN DAN PENINGKATAN TINGKAT PELAYANAN JALUR PEJALAN KAKI DI JALAN BRAGA KOTA BANDUNG

2025· article· W7131215793 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJurnal Pengembangan Kota · 2025
Typearticle
Language
FieldEngineering
TopicUrban Transport Systems Analysis
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsGreen beltCross-border cooperationSubbase

Abstract

fetched live from OpenAlex

Ketersediaan jalur pejalan kaki yang aman dan nyaman salah satu dasar penting dalam keberlanjutan perkotaan. Jalan Braga merupakan kawasan cagar budaya dan pariwisata dengan aktivitas utama perdagangan dan jasa. Pada hari biasa, persepsi terhadap jalur pejalan kaki di Braga tergolong baik dari segi fasilitas. Akan tetapi, di hari libur, jumlah pejalan kaki menjadi sangat padat yang menyebabkan terganggunya sirkulasi dan kenyamanan berjalan. Penelitian ini bertujuan untuk mengukur tingkat pelayanan jalur pejalan kaki Braga saat padat serta merumuskan upaya peningkatan pelayanan yang paling sesuai. Metode yang digunakan dalam penelitian ini adalah deskriptif kuantitatif dengan teknik analisis mengacu pada Highway Capacity Manual (HCM) 2022. Temuan penelitian menunjukkan bahwa tingkat pelayanan jalur pejalan kaki Braga saat ramai mencapai tingkat terendah yaitu tingkat F. Dengan menguji berbagai skenario, hanya pedestrianisasi yang mampu meningkatkan tingkat pelayanan menjadi D yaitu kondisi berjalan yang nyaman dengan kecepatan normal.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.136
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.004
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0030.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0020.001

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 head0.009
GPT teacher head0.224
Teacher spread0.215 · 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