Assessment of truck driver safety efficiency based on data envelopment analysis

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’ dang...

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Main Authors: Hu Dunli, Zhang Xiangdong, Zhang Jianhua
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/42/e3sconf_uct2024_04011.pdf
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author Hu Dunli
Zhang Xiangdong
Zhang Jianhua
author_facet Hu Dunli
Zhang Xiangdong
Zhang Jianhua
author_sort Hu Dunli
collection DOAJ
description 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.
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spelling doaj.art-8715a33d065f47f7bab5fe902154bac92024-04-12T07:42:03ZengEDP SciencesE3S Web of Conferences2267-12422024-01-015120401110.1051/e3sconf/202451204011e3sconf_uct2024_04011Assessment of truck driver safety efficiency based on data envelopment analysisHu Dunli0Zhang Xiangdong1Zhang Jianhua2North China University of Technology, Beijing Key Laboratory of Fieldbus Technology and AutomationNorth China University of Technology, Beijing Key Laboratory of Fieldbus Technology and AutomationBeijing University of Technology, Beijing Key Laboratory of Traffic EngineeringThis 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/42/e3sconf_uct2024_04011.pdf
spellingShingle Hu Dunli
Zhang Xiangdong
Zhang Jianhua
Assessment of truck driver safety efficiency based on data envelopment analysis
E3S Web of Conferences
title Assessment of truck driver safety efficiency based on data envelopment analysis
title_full Assessment of truck driver safety efficiency based on data envelopment analysis
title_fullStr Assessment of truck driver safety efficiency based on data envelopment analysis
title_full_unstemmed Assessment of truck driver safety efficiency based on data envelopment analysis
title_short Assessment of truck driver safety efficiency based on data envelopment analysis
title_sort assessment of truck driver safety efficiency based on data envelopment analysis
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/42/e3sconf_uct2024_04011.pdf
work_keys_str_mv AT hudunli assessmentoftruckdriversafetyefficiencybasedondataenvelopmentanalysis
AT zhangxiangdong assessmentoftruckdriversafetyefficiencybasedondataenvelopmentanalysis
AT zhangjianhua assessmentoftruckdriversafetyefficiencybasedondataenvelopmentanalysis