From cost-centering to sustainability: A review of Pollution Routing Problems
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
Recent studies on Vehicle Routing Problems (VRP) have substantially expanded to incorporate environmental considerations into transportation planning. Traditionally, the predominant objectives in transportation optimization revolved around reducing costs, time, or distance. However, with the increasing significance of sustainability and the management of environmental costs, logistics service providers and retailers have shifted their attention to greening their operations. In light of this, the Pollution-Routing Problem (PRP) has emerged to harmonize economic and environmental facets of transportation efforts. Despite the extensive research on the problem, there exists a notable absence of systematic reviews. As such, this review article sheds light on the evolution of the problem literature from its introduction in 2011 to 2024, reviewing 75 papers. In this study, the research on the PRP is categorized based on the taxonomy, objective function, and methodologies applied throughout the years. Finally, we pinpoint several areas of potential exploration that will serve as a blueprint for future research directions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.000 |
| 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