Assessment of the transferability of European road safety inspection procedures and risk index model to Egypt
Bibliographic record
Abstract
Road safety is considered a worldwide issue, especially in developing countries where road fatalities are considered the top cause of death among youth. Generally, three main factors impact road safety including driver, vehicle, and road environment. Statistics show that driver behavior is the major contributory factor to crashes (65%); however, other factors may lead to higher severity crashes such as deteriorated infrastructure, unforgiving roadside design, etc. In this regard, extensive research work has been performed to analyze these crash-contributing factors and propose safety measures. For instance, in North America, researchers developed the Highway Safety Manual (HSM) which provides crash prediction models (CPM) and safety performance functions (SPFs) used in implementing effective safety measures. In the European Union (EU), crash data is complementary to road safety inspections as tools for the safety management of the road network in operation. This research investigates the potential of transferring the European experience, namely the Identification of Hazard Location (IASP) procedures, to Egypt. The analysis shows not only a significant similarity in the safety levels of infrastructure between Egypt and Italy but also in speed behavior. The transferability of the EU IASP procedure is validated by comparing the output of the Risk Index (RI) measure as a surrogate measure of safety with the expected crash frequency resulting from HSM’s SPFs. The comparison is assessed using Spearman’s rank correlation coefficient. This process is applied to a case study that examines a 6-km segment of a two-lane, two-way rural road connecting Faraskour and El Mansoura in Egypt, serving as an example of a hazardous rural road in Egypt. The results indicate that the relation between the RI outputs and the expected crash frequency at the majority of segments of the road section is significant based on Spearman’s rank correlation factor value of 0.75. Few limitations have been identified and presented in the study including the effect of access located on curves or hidden in vegetated areas.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".