基于熵权-TOPSIS的省域道路货运企业运营安全评估方法

doi:10.3969/j.issn.1674-0696.2025.08.15

重庆交通大学学报（自然科学版） ›› 2025, Vol. 44 ›› Issue (8): 116-122.DOI: 10.3969/j.issn.1674-0696.2025.08.15

• 交通+大数据人工智能 • 上一篇

基于熵权-TOPSIS的省域道路货运企业运营安全评估方法

闫晟煜1，赵佳琪2，刘杨1，郝时杰1，马振祥2

(1. 长安大学汽车学院，陕西西安 710018；2. 中国重型汽车集团有限公司，山东济南 250002)

收稿日期:2024-11-18 修回日期:2025-01-07 发布日期:2025-09-05
作者简介:闫晟煜(1987—)，男，黑龙江绥化人，副教授，博士，主要从事公路运输规划、交通工程方面的研究。E-mail： Leo9574@163.com
基金资助:
国家重点研发计划项目（2023YFB3209803）；长安大学中央高校基本科研业务费专项资金项目（300102224206）；陕西省自然科学基础研究计划项目（2024JC-YBQN-0452）;陕西省重点研发计划项目（2025CY-YBXM-064）

Evaluation Method for Operational Safety of Provincial Road Freight Enterprises Based on Entropy Weight-TOPSIS

YAN Shengyu1，ZHAO Jiaqi2，LIU Yang1，HAO Shijie1，MA Zhenxiang2

(1. School of Automobile，Changan University，Xian 710018，Shaanxi， China； 2. China National Heavy Duty Truck Group Co., Ltd., Jinan 250002，Shandong， China)

Received:2024-11-18 Revised:2025-01-07 Published:2025-09-05

摘要/Abstract

摘要： 采用分层抽样理论，提出道路货运企业运营安全调查方法；以企业拥有的货车数为标准，设定企业的安全教育次数、安全检查次数、交通违章次数和交通事故次数为评价指标，运用熵权法确定评价指标权重，基于逼近理想解排序（TOPSIS）理论，提出道路货运企业运营安全评估方法，测算企业运营安全评估值；通过分析某省域5 个重点地市469 个道路货运企业的样本数据，验证评估方法的可行性。结果表明：模型相对接近度的变异系数为16.45%，具有良好的离散度；实例省份规下企业的分层抽样比例为6.04%，可有效减少评估工作量；企业的交通违章次数、交通事故次数2 项评价指标权重分别为24.49%、34.93%，平均高于正向型评价指标9.42%。该方法可为省域道路货运行业的安全管理提供技术支撑。

关键词: 交通工程；道路货运企业；运营安全评价；逼近理想解排序法；熵权法；分层抽样理论

Abstract: Investigating method for the operational safety of road freight enterprises was proposed by using stratified sampling theory. Taking the number of trucks owned by the enterprise as the standard, the number of safety education, safety inspections, traffic violations, and traffic accidents were set as evaluation indicators, and the entropy weight method was used to determine the weight of evaluation indicators. Based on the TOPSIS theory, the evaluation method for the operational safety of road freight enterprises was proposed, and the operational safety evaluation values of road freight enterprises were calculated. By analyzing sample data from 469 road freight enterprises in 5 key cities of a certain province, the feasibility of the proposed method was verified. The results show that the coefficient of variation for the relative proximity of the proposed model is 16.45%, indicating good dispersion. The stratified sampling proportion of enterprises under regulations in the sample province is 6.04%, which can effectively reduce the workload of evaluation. The weights of the two evaluation indicators, that is, the number of traffic violations and the number of traffic accidents of enterprises are 24.49% and 34.93%, respectively, which are higher than the positive evaluation indicators by an average of 9.42%. The proposed method can provide technical support for the safety management of the provincial road freight industry.

Key words: traffic engineering; road freight enterprises; operational safety evaluation; TOPSIS method; entropy weight method; stratified sampling theory

中图分类号:

U492.3+1

闫晟煜1，赵佳琪2，刘杨1，郝时杰1，马振祥2. 基于熵权-TOPSIS的省域道路货运企业运营安全评估方法[J]. 重庆交通大学学报（自然科学版）, 2025, 44(8): 116-122.

YAN Shengyu1，ZHAO Jiaqi2，LIU Yang1，HAO Shijie1，MA Zhenxiang2. Evaluation Method for Operational Safety of Provincial Road Freight Enterprises Based on Entropy Weight-TOPSIS[J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(8): 116-122.

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基于熵权-TOPSIS的省域道路货运企业运营安全评估方法

Evaluation Method for Operational Safety of Provincial Road Freight Enterprises Based on Entropy Weight-TOPSIS

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