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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Format: | Article |
Language: | English |
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EDP Sciences
2024-01-01
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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. |
first_indexed | 2024-04-24T10:53:18Z |
format | Article |
id | doaj.art-8715a33d065f47f7bab5fe902154bac9 |
institution | Directory Open Access Journal |
issn | 2267-1242 |
language | English |
last_indexed | 2024-04-24T10:53:18Z |
publishDate | 2024-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | E3S Web of Conferences |
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 |