| Issue |
E3S Web Conf.
Volume 512, 2024
2024 International Conference on Urban Construction and Transportation (UCT 2024)
|
|
|---|---|---|
| Article Number | 04011 | |
| Number of page(s) | 5 | |
| Section | Modern Logistics Management and Transportation Economic Analysis | |
| DOI | https://doi.org/10.1051/e3sconf/202451204011 | |
| Published online | 10 April 2024 | |
Assessment of truck driver safety efficiency based on data envelopment analysis
1 North China University of Technology, Beijing Key Laboratory of Fieldbus Technology and Automation, Beijing, 100144, P.R China
2 Beijing University of Technology, Beijing Key Laboratory of Traffic Engineering, Beijing, 100124, P.R China
* Corresponding author: zxd99224@163.com
This paper introduces a safety efficiency evaluation framework that integrates Data Envelopment Analysis (DEA) and Super-Efficiency Data Envelopment Analysis (SE-DEA) for quantitatively assessing the safety of truck drivers. The framework utilizes data from onboard equipment to capture drivers’ dangerous behaviors and poor driving states. Subsequently, it evaluates safety efficiency using the DEA combination model, providing safety rankings. Improvement suggestions are offered to underperforming drivers based on slack variable values. The proposed method is compared with EWM-Topsis and Critic-Topsis models using fixed weights, demonstrating better stability. The study’s outcomes enable freight companies to identify high-risk drivers and offer personalized, targeted safety training.
© The Authors, published by EDP Sciences, 2024
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.
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