基于非参数方法的网约车司机安全效率评价

IF 3.3 3区工程技术 Q2 TRANSPORTATION

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-09-14 DOI:10.1080/19427867.2025.2463745

Yang Ding , Xiaohua Zhao , Pengwei Yan , Ying Yao , Haiyi Yang

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引用次数: 0

摘要

针对网约车驾驶员的危险驾驶行为，提出了一种新的驾驶员安全评价方法。通过对97名司机近一个月的危险行为频次、驾驶距离等数据的分析，建立了数据包络分析（DEA）和超效率DEA模型相结合的方法框架。该框架将危险驾驶行为与驾驶风险动态关联，计算驾驶员安全效率，并对驾驶安全进行排名。它还根据松弛变量为表现不佳的司机提供行为改进建议。与传统的EWM-TOPSIS和critical - topsis模型相比，我们的方法具有更好的稳定性，并提供了更加个性化和客观的评估。DEA模型有效地对驾驶员安全性能进行了排名，突出了其在处理多个输入和输出而没有预定义权重方面的优势。这项研究为网约车公司识别高风险司机并实施有针对性的安全培训计划提供了有价值的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Safety efficiency assessment of online car-hailing drivers based on the nonparametric method

This study introduces a novel driver safety evaluation method for online car-hailing drivers, focusing on dangerous driving behaviors. By analyzing data from 97 drivers over one month, including the frequencies of dangerous behaviors and driving distances, we develop a methodological framework integrating Data Envelopment Analysis (DEA) and the Super-Efficiency DEA model. This framework dynamically links dangerous driving behaviors to driving risk, calculates driver safety efficiency, and ranks driving safety. It also offers behavioral improvement advice to poorly performing drivers based on slack variables. Compared to traditional models such as EWM-TOPSIS and Critic-TOPSIS, our method exhibits superior stability and provides a more individualized and objective assessment. The DEA model effectively ranks driver safety performance, highlighting its advantages over TOPSIS in handling multiple inputs and outputs without predefined weights. This research offers valuable insights for online car-hailing companies to identify high-risk drivers and implement targeted safety training programs.

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来源期刊

Transportation Letters-The International Journal of Transportation Research TRANSPORTATION SCIENCE & TECHNOLOGY-

CiteScore

6.40

自引率

14.30%

发文量

审稿时长

>12 weeks

期刊介绍： Transportation Letters: The International Journal of Transportation Research is a quarterly journal that publishes high-quality peer-reviewed and mini-review papers as well as technical notes and book reviews on the state-of-the-art in transportation research. The focus of Transportation Letters is on analytical and empirical findings, methodological papers, and theoretical and conceptual insights across all areas of research. Review resource papers that merge descriptions of the state-of-the-art with innovative and new methodological, theoretical, and conceptual insights spanning all areas of transportation research are invited and of particular interest.