College of Engineering, Zhejiang Normal University, Jinhua, Zhejiang, China.
Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Province, Zhejiang Normal University, Jinhua, Zhejiang, China.
PLoS One. 2023 Feb 2;18(2):e0279387. doi: 10.1371/journal.pone.0279387. eCollection 2023.
In quasi-induced exposure (QIE) theory, the presence of hazardous driving action is the typical determinant of the driver's responsibility for a crash. However, there is a lack of effort available to analyze the impacts of hazardous actions on the QIE estimate, which may result in estimation bias. Thus, the study aims to explore the difference in QIE to crashes involving various hazardous driving actions. Chi-square test is conducted to examine the consistency of non-responsible party distributions among the crashes involving various hazardous actions. Multinomial logit model and nested logit model are employed to identify the disparities of contributing factors to the actions. Results indicate that: 1) the estimated exposures appear to be inconsistent among the crashes with different hazardous actions, 2) driving cohorts have differential propensities of performing various hazardous actions, and 3) factors such as driver-vehicle characteristics, time, area, and environmental condition significantly affect the occurrence of hazardous actions while the directions and magnitude of the effects show great disparities for various actions. It can be concluded that the QIE estimates are significantly different for crashes involving various hazardous actions, which serves to highlight the importance of clarifying the specific hazardous actions for responsibility assignment in QIE theory.
在准诱导暴露(QIE)理论中，危险驾驶行为的存在是驾驶员对事故承担责任的典型决定因素。然而，目前还缺乏分析危险行为对 QIE 估计的影响的努力，这可能导致估计偏差。因此，本研究旨在探讨涉及各种危险驾驶行为的事故中 QIE 的差异。卡方检验用于检验涉及各种危险行为的事故中无责任方分布的一致性。多项逻辑回归模型和嵌套逻辑回归模型用于识别导致这些行为的因素差异。结果表明：1) 不同危险行为事故的估计暴露量似乎不一致；2) 驾驶群体对各种危险行为的倾向存在差异；3) 驾驶员-车辆特征、时间、区域和环境条件等因素显著影响危险行为的发生，而各种行为的影响方向和幅度存在很大差异。可以得出结论，涉及各种危险行为的事故的 QIE 估计值存在显著差异，这突出表明在 QIE 理论中，为责任分配阐明具体危险行为的重要性。
