Citation

Erieba O, Pappalardo G, Hassan A, Said D, Cafiso S. Ain Shams Eng. J. 2023; ePub(ePub): ePub.

Copyright

(Copyright © 2023, Ain Shams University, Publisher Elsevier Publishing)

DOI

10.1016/j.asej.2023.102502

PMID

unavailable

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.

Language: en

Keywords

Crash Prediction; Identification of Hazard Location (IASP); Risk Index; Road Safety Inspection; Safety Performance Functions