A conceptual framework for integrating urban freight deliveries with public transportation and crowdsourcing
Bibliographic record
Abstract
The transformations in urban freight transportation resulting from the increase in e-commerce require novel approaches for integrating these flows with traditional passenger flows in the urban environment. The idea of integrating freight and passenger movements has recently been investigated in academia, aiming to utilize the spare capacity of public transportation to move cargo, thereby reducing congestion in densely populated areas. This paper proposes a conceptual framework for integrating freight deliveries and passenger transportation using the same vehicle and schedules, using scheduled lines (passenger transportation services), ridesharing alternatives (share-a-ride), and crowd shipping. Examples from real-world operations and quantitative analysis of systems are reviewed to construct a framework to assess the fundamental issues with integration. Different planning levels are presented, and integration issues are described, considering aspects of real-world examples in cities around the globe. This paper discusses how freight transportation can be integrated into city planning to reduce the externalities attributed to these operations while promoting a more economical and sustainable option for same-day deliveries.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".