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Analyzing Risk Factors for Fatality in Urban Traffic Crashes: A Case Study of Wuhan, China

机译:城市交通事故死亡的危险因素分析:以武汉市为例

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How to maintain public transit safety and sustainability has become a major concern for the department of Road Traffic Administration. This study aims to analyze the risk factors that contribute to fatality in road traffic crashes using a 5-year police-reported dataset from the Wuhan Traffic Management Bureau. Four types of variables, including driving experience, environmental factor, roadway factor and crash characteristic, were examined in this research by a case-control study. To obtain a comprehensive understanding of crash fatality, this study explored a detailed set of injury-severity risk factors such as impact direction, light and weather conditions, crash characteristic, driving experience and high-risk driving behavior. Based on the results of statistical analyses, fatality risk of crash-involved individuals was significantly associated with driving experience, season, light condition, road type, crash type, impact direction, and high-risk driving behavior. This study succeeded in identifying the risk factors for fatality of crash-involved individuals using a police-reported dataset, which could provide reliable information for implementing remedial measures and improving sustainability in urban road network. A more detailed list of explanatory variables could enhance the accountability of the analysis.
机译:如何保持公共交通的安全性和可持续性已经成为道路交通管理部门的主要关注点。这项研究旨在使用武汉市交通管理局提供的5年警方报告的数据来分析造成道路交通事故死亡的危险因素。通过案例对照研究,研究了四种类型的变量,包括驾驶经验,环境因素,巷道因素和碰撞特性。为了获得对撞车致死率的全面了解,本研究探索了一系列伤害严重程度的危险因素,例如撞击方向,光照和天气状况,撞车特性,驾驶经验和高风险驾驶行为。根据统计分析的结果,与撞车有关的个人的死亡风险与驾驶经验,季节,光照条件,道路类型,撞车类型,撞击方向和高风险驾驶行为显着相关。这项研究成功地使用警方报告的数据集确定了撞车相关人员死亡的危险因素,这可以为实施补救措施和改善城市道路网络的可持续性提供可靠信息。更详尽的解释变量列表可以增强分析的责任感。

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