Dynamic Modeling Impacts of Inter-Urban Railway Transportation on Regional Development: A Case Study of Sub-Urban Greater Jakarta, Indonesia
Bibliographic record
Abstract
The development of inter-urban railway transportation, especially in Greater Jakarta and its surroundings, has a significant impact on regional development.The government is developing the railway network, allowing for expansion of development in the area around the railway network, leading to urban sprawl and other negative externalities.A comprehensive study is needed to anticipate and provide policy instruments to control the negative impacts of railway expansion.This study aimed to address such an issue by developing a dynamic model of interurban railway transportation and its impact on the development of a region using a system dynamic modeling, by developing land-use sub-model, population sub-model, housing submodel, and economic sub-model.The study was conducted in the Sukaraja District of Bogor Regency, part of the Greater Jakarta railway network transportation development.The study shows that within the next 50 years, the study area will be impacted significantly by the railway networks, leading to declining agricultural land availability, increasing settlement areas, and expansions of economic infrastructures.These will positively and negatively impact the regions and their neighborhood regions, such as Bogor and Jakarta.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".