Study of Public Perceptions on the Urban Railway Planning of the City of Banda Aceh and the Surrounding Areas
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.
Bibliographic record
Abstract
The urban railway in the City of Banda Aceh and the surrounding areas is currently being proposed by the Aceh Provincial Government through the Department of Transportation of Indonesia. The presence of this rail transport mode is expected to change the travel behavior of the commuter. As such, people who use private vehicles may shift to public transport mode, thereby reducing congestion, noise, and pollution. The objective of this study is to determine factors and indicators—related to rail transport—that are important to the community. This study was conducted to provide information on the urban railway planning of the City of Banda Aceh. The principal component analysis (PCA) was utilized in this study. The results analysis of the study shows that the most significant variable influencing the public on the urban railway for Banda Aceh City is land use (19.09%). The indicator that is important to the community under the land use factor includes the property used as railway (0.911), land use used as railway (0.907), adjacent land used as railway infrastructure (0.876), and adjacent property used as railway infrastructure (0.861). Overall, the respondents positively perceived the urban railway planning of Banda Aceh City and accepted the city's rail transport plan.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it