| Issue |
MATEC Web Conf.
Volume 124, 2017
2017 6th International Conference on Transportation and Traffic Engineering (ICTTE 2017)
|
|
|---|---|---|
| Article Number | 04009 | |
| Number of page(s) | 5 | |
| Section | Traffic Safety and Risk Assessment | |
| DOI | https://doi.org/10.1051/matecconf/201712404009 | |
| Published online | 29 September 2017 | |
Factors Affecting Accidents Risks among Truck Drivers In Egypt
1 Tanta University, Egypt
2 Public Works Engineering Department, Faculty of Engineering, Tanta, Egypt
3 Public Works Engineering Department, Faculty of Engineering, Tanta, Egypt
Egypt is ranked among the countries with the highest rates of road accidents. According to the American Chamber of Commerce more than 96% of Egypt's goods are transported by trucks and due to their large volume and excessive weight, the severity and number of truck accident fatalities are much higher than other vehicles in Egypt. The present study aims at identifying truck driver's behavior and its influence on crash involvement. Due to the shortage in recording accident data and the inaccurate road accident audit, data was collected from several governorates in Egypt through questionnaire. Questionnaire forms were filled out through personal interviews with truck drivers. The total number of respondents was 643. The final analysis was made on the 615 questionnaires with complete answers. The data was analyzed and logistic regression was applied to accident related data to examine the contributing factors affecting accident occurrence of truck drivers. Results showed that fatigue in terms of driving hours (continuous and total) and lack of sleep, drug use during driving, and driver obesity are the most influencing factors on the occurrence of truck accidents in Egypt. The findings of this research highlight the important role human factors have on the risk of crash involvement amongst Egypt's truck drivers and the need to improve their work conditions.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.