Assessing the effects of removing of energy subsidies on urban passenger transportation within the city of Tehran based on a system dynamics approach
Bibliographic record
Abstract
Cheap subsidized fuel supplied to transportation section has the most impact on traffic jam and air pollution in the Iranian megacities, especially Tehran. The 5th Five-Year Development Plan of the country aims at elimination of energy subsidies. Accordingly, this study examines the effects of the increase in the price of energy carriers in two different scenarios on megacities' traffic and the corresponding variables. A system dynamics model is first designed to identify the most effective variables on traffic and urban transportation. The model considers an increase in the price of energy carriers based on the world price trends, until 2014 (the final year of the Subsidy Targeting Program), and evaluates the its impact on the relevant variables. The results reveal a short time reduction in transportation traffic volume. However, due to incremental trends in demand and production of vehicles, it returns to its first state.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".