A system dynamics based simulation model to evaluate regulatory policies for sustainable transportation planning
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
Transportation is a major source of energy consumption and emission generation. To limit the negative environment impacts arising from transportation of goods and people, several initiatives and policies are being put in place by municipal administrators, local governments, and federal governments. Since transportation is a dynamic system in which the individual components and their interactions are changing over time, decision-makers need efficient approaches to investigate system behavior and devise sustainable transportation policies for the benefit of city, its residents, and their environment. In this paper, we propose a system dynamics-based simulation model to evaluate the impact of regulatory policies for sustainable transport planning. Causal loop diagrams are developed to investigate transportation system elements, their inter-relationships, and evolution of behavior over time. A numerical study for vehicle trip reduction is provided. The results of our simulation study reveal that trip-sharing policy effectively decreases congestion while car ownership decreases tendency of vehicular trips and increases public transit trips.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it