Modeling Logistics and Supply Chain with an Integrated Land Use Transport Model: PECAS
Why this work is in the frame
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Bibliographic record
Abstract
Decision-making regarding logistics and supply chain need to be based on freight transportation modeling, but most of transportation models only consider passenger travel demand. An integrated land use transport model is introduced here which addresses both freight and passenger demand modeling. The framework is called PECAS, which stands for Production, Exchange, Commodity Allocation System. PECAS consists of the following three modules: Activity Allocation (AA), Space Development (SD) and Transport Supply (TS) and is linked to an aspatial regional economic model. The focus of this paper is to illustrate the capability of its AA module in modeling logistics and supply chains, for which the major economic sectors are considered and the flows of all commodities, including goods, service, space, land and labor, are simultaneously determined from production zones to exchange zones to consumption zones. This paper gives a brief introduction to the framework and presents detailed methodologies used in determining the locations of activities and exchanges between them.
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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 | 0.000 | 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 | 0.000 |
| 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 it