Influence of pavement management on road traffic emissions and associated costs
Bibliographic record
Abstract
To achieve sustainable road networks, long-term social and environmental costs and benefits related to traffic emissions should be recognised and incorporated in the decision-making process of pavement management units. A new tool designed to monetize and incorporate social and environmental impacts in decision making processes was used to assess the life cycle social and environmental benefits of pavement management related to traffic emissions. A case study regarding a 1 km long section of an urban collector road located in Montréal, Canada is presented in this paper. The case study shows that pavement surface maintenance provided an estimated social and environmental benefit ranging from $235 000 to $5 150 000 over a 40 year analysis period, depending on the maintenance treatment applied and the discount rate used. Despite uncertainties, the results unambiguously show that benefits related to traffic emissions were significant and were the same order of magnitude as the maintenance costs. As such, they deserve to be incorporated in the life cycle assessment of pavement maintenance strategies. Preventive maintenance was also found clearly more effective than corrective maintenance to mitigate exhaust emissions.
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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 | 0.000 |
| 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 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".