Life cycle environmental benefits of pavement surface maintenance
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
To achieve sustainable road networks, long-term environmental costs and benefits should be recognized and incorporated in the decision making process of pavement management units. This paper provides an assessment of life cycle environmental benefits of pavement maintenance and discusses their incorporation in pavement management systems (PMS). A case study regarding a 1 km long section of an urban collector road shows that pavement surface maintenance provides environmental benefits ranging from $700 000 to $18 000 000 over a 40 year analysis period, depending on the maintenance treatment applied and the discount rate used. Preventive maintenance was found clearly more sustainable than corrective maintenance. Noise benefits represented the major component of the environmental benefits. Reversely, although pavement management practices often consider greenhouse gases, the results show that the reduction of greenhouse gas emissions due to pavement management strategies is minimal. The paper also discusses the incorporation of environmental costs in pavement management practices and highlights the importance of an appropriate discount rate, specific to environmental impacts and the need to assess the influence of the discounting method on the environmental benefits.
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 | 0.000 |
| 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