Development and application of a risk analysis methodology for road traffic accidents
Collision, rollover, swerving, and vehicle fire are road traffic accidents (RTAs) caused by driver, vehicle, and environment-related factors, resulting in diverse severity levels, such as property damages, injuries, and fatality. In addition, vagueness in detectability, e.g., close circuit televisio...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Alexandria Engineering Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016824012031 |
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| author | Radfan Abdulrahman Meshal Almoshaogeh Husnain Haider Fawaz Alharbi Arshad Jamal |
| author_facet | Radfan Abdulrahman Meshal Almoshaogeh Husnain Haider Fawaz Alharbi Arshad Jamal |
| author_sort | Radfan Abdulrahman |
| collection | DOAJ |
| description | Collision, rollover, swerving, and vehicle fire are road traffic accidents (RTAs) caused by driver, vehicle, and environment-related factors, resulting in diverse severity levels, such as property damages, injuries, and fatality. In addition, vagueness in detectability, e.g., close circuit television and driver admittance, culminates RTAs' risk analysis into a multifaceted problem. The present study performed root cause analysis to investigate RTAs, where the fishbone diagram categorized RTAs (e.g., collision and swerving) and identified primary (e.g., driver and environment) and secondary (e.g., overspeeding and tire burst) root causes. For 1158 km of intercity highways in Qassim (Saudi Arabia), fuzzy-failure mode and effect analysis evaluated 171 failure modes using 3500 RTAs' recorded over three years and knowledge of practice and experts. The study highlights collision, driver-related issues, and property damage as the leading category, root cause, and consequence. Comparing the baseline with the first realistic mitigation (speed camera installation) acknowledged a 53 % reduction in risk probability number. Automated driver assistance systems, rumble strips, variable speed limits, and increasing penalties for traffic violations hypothetically dropped 76 % of cumulative risk. The methodology handles limited data and subjective risk factors to help decision-makers minimize RTAs in Saudi Arabia and other jurisdictions. |
| format | Article |
| id | doaj-art-f4a84994e462436caff61cd5807b3835 |
| institution | Kabale University |
| issn | 1110-0168 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj-art-f4a84994e462436caff61cd5807b38352025-01-18T05:03:37ZengElsevierAlexandria Engineering Journal1110-01682025-01-01111293305Development and application of a risk analysis methodology for road traffic accidentsRadfan Abdulrahman0Meshal Almoshaogeh1Husnain Haider2Fawaz Alharbi3Arshad Jamal4Department of Civil Engineering, College of Engineering, Qassim University, Buraydah, Qassim 51452, Saudi ArabiaDepartment of Civil Engineering, College of Engineering, Qassim University, Buraydah, Qassim 51452, Saudi ArabiaCorresponding author.; Department of Civil Engineering, College of Engineering, Qassim University, Buraydah, Qassim 51452, Saudi ArabiaDepartment of Civil Engineering, College of Engineering, Qassim University, Buraydah, Qassim 51452, Saudi ArabiaDepartment of Civil Engineering, College of Engineering, Qassim University, Buraydah, Qassim 51452, Saudi ArabiaCollision, rollover, swerving, and vehicle fire are road traffic accidents (RTAs) caused by driver, vehicle, and environment-related factors, resulting in diverse severity levels, such as property damages, injuries, and fatality. In addition, vagueness in detectability, e.g., close circuit television and driver admittance, culminates RTAs' risk analysis into a multifaceted problem. The present study performed root cause analysis to investigate RTAs, where the fishbone diagram categorized RTAs (e.g., collision and swerving) and identified primary (e.g., driver and environment) and secondary (e.g., overspeeding and tire burst) root causes. For 1158 km of intercity highways in Qassim (Saudi Arabia), fuzzy-failure mode and effect analysis evaluated 171 failure modes using 3500 RTAs' recorded over three years and knowledge of practice and experts. The study highlights collision, driver-related issues, and property damage as the leading category, root cause, and consequence. Comparing the baseline with the first realistic mitigation (speed camera installation) acknowledged a 53 % reduction in risk probability number. Automated driver assistance systems, rumble strips, variable speed limits, and increasing penalties for traffic violations hypothetically dropped 76 % of cumulative risk. The methodology handles limited data and subjective risk factors to help decision-makers minimize RTAs in Saudi Arabia and other jurisdictions.http://www.sciencedirect.com/science/article/pii/S1110016824012031Road traffic accidentsRisk assessmentFailure mode and effect analysisRoot cause analysisFuzzy logicPublic health |
| spellingShingle | Radfan Abdulrahman Meshal Almoshaogeh Husnain Haider Fawaz Alharbi Arshad Jamal Development and application of a risk analysis methodology for road traffic accidents Alexandria Engineering Journal Road traffic accidents Risk assessment Failure mode and effect analysis Root cause analysis Fuzzy logic Public health |
| title | Development and application of a risk analysis methodology for road traffic accidents |
| title_full | Development and application of a risk analysis methodology for road traffic accidents |
| title_fullStr | Development and application of a risk analysis methodology for road traffic accidents |
| title_full_unstemmed | Development and application of a risk analysis methodology for road traffic accidents |
| title_short | Development and application of a risk analysis methodology for road traffic accidents |
| title_sort | development and application of a risk analysis methodology for road traffic accidents |
| topic | Road traffic accidents Risk assessment Failure mode and effect analysis Root cause analysis Fuzzy logic Public health |
| url | http://www.sciencedirect.com/science/article/pii/S1110016824012031 |
| work_keys_str_mv | AT radfanabdulrahman developmentandapplicationofariskanalysismethodologyforroadtrafficaccidents AT meshalalmoshaogeh developmentandapplicationofariskanalysismethodologyforroadtrafficaccidents AT husnainhaider developmentandapplicationofariskanalysismethodologyforroadtrafficaccidents AT fawazalharbi developmentandapplicationofariskanalysismethodologyforroadtrafficaccidents AT arshadjamal developmentandapplicationofariskanalysismethodologyforroadtrafficaccidents |