Factors Affecting Accidents Risks among Truck Drivers In Egypt

Elshamly, Ahmed Fathalla; El-Hakim, Ragaa T. Abd; Afify, Hafez · 2017 · OpenAlex-citations

DOI: 10.1051/matecconf/201712404009

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Summary

This study investigates the behavioral factors contributing to truck accident risks in Egypt, a country with high road accident rates where trucks transport over 96% of goods. Due to the lack of accurate official accident data, the researchers aimed to identify specific driver behaviors influencing crash involvement to recommend necessary safety improvements. The study focused on human factors such as fatigue, obesity, drug use, and aggressive driving, seeking to understand their impact on accident probability and severity. Data were collected through personal interviews using a Driver Behavior Questionnaire (DBQ) containing 47 questions across five sections: demographic characteristics, accident exposure, distraction, aggressive driving, and general behavior. The survey was conducted between April and July 2015 in three Egyptian governorates (Kafr El-Sheikh, Gharbia, and Dakahlia). Of the 643 truck drivers interviewed, 615 provided complete responses for analysis. All participants were male. The data were analyzed using SPSS, employing binary logistic regression to model accident probability and identify significant predictors. The results identified fatigue, obesity, and drug use as the most influential factors in truck accidents. Specifically, drivers sleeping less than six hours, driving more than eight hours continuously, or exceeding fifteen total driving hours per day showed significantly higher accident exposure. For instance, drivers sleeping less than six hours and driving more than fifteen hours daily had a 42% accident occurrence rate. Obesity was also a major risk, with 40% of accidents involving obese drivers and 39% involving overweight drivers. Drug use before long journeys was reported by 47% of drivers involved in accidents. Additionally, aggressive behaviors were prevalent, with 16.4% of drivers often speeding and 44.6% sometimes racing. Logistic regression models confirmed these factors as reliable predictors, with Nagelkerke R² values ranging from 0.56 to 0.70. Accident severity analysis revealed that 49% of incidents resulted in damage only, while 13% resulted in deaths. The study concludes that human factors, particularly fatigue and health-related issues, play a critical role in truck crash involvement in Egypt. The authors recommend updating traffic laws to include penalties for repeated violations, implementing periodic drug testing for drivers, and establishing an electronic accident database. Furthermore, they suggest developing a national safety driving handbook and providing extensive professional training for truck drivers to mitigate these risks.

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