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COMPREHENSIVE DATA ANALYTICS OF PEDESTRIAN INVOLVED HIT-AND-RUN ROAD CRASHES

机译：行人撞行路撞事故的综合数据分析

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摘要

The main objective of the study is to discover the contributing factors for hit-and-rundrivers in pedestrian crashes, in perspectives of individual driver, vehicle, residencecharacteristics of the driver, and environmental factors such as roadway, weather andlighting conditions. Three-year crash data (2008-2010) were collected from the FloridaDepartment of Transportation (FDOT). Subsequently, the associated data were collectedfrom FDOT and U.S. Census Bureau. Since the authors targeted the hit-and-run at-faultdrivers causing pedestrian crashes data were defined as the case group. In order to findout contributing factors for the hit-and-run, hit-and-run driver data were compared with areference population: non-hit-and-run but at-fault drivers, who caused traffic crashes butstayed at the scene. The hit-and-run case group was matched to the comparison groupwhich was a set of randomly selected non-hit-and-run at-fault drivers in an approximately1:4 ratio. A Bayesian Binary Logistic Regression Model was utilized, and the modelrevealed that contributing factors for hit-and-run in pedestrian crashes. It is expected thatthe results from this study can be used for establishing policies to effectively prevent hitand-run in pedestrian crashes.
机译：该研究的主要目的是从个人驾驶员，车辆，驾驶员的居住特征以及道路，天气和照明条件等环境因素的角度，发现行人撞车时撞车逃逸的驾驶员的影响因素。从佛罗里达运输部（FDOT）收集了三年的碰撞数据（2008-2010）。随后，从FDOT和美国人口普查局收集了相关数据。由于作者针对的是肇事逃逸的肇事司机，导致行人撞车，因此将数据定义为案例组。为了找出肇事逃逸的影响因素，将肇事逃逸的驾驶员数据与参考人群进行了比较：非肇事逃逸但过失的驾驶员，造成交通事故，但仍停留在现场。撞车事故案例组与比较组相匹配，后者是一组随机选择的非撞车事故驱动驾驶员，比例约为1：4。利用了贝叶斯二元Logistic回归模型，该模型揭示了行人撞车时撞车的影响因素。可以预期，这项研究的结果可以用于建立有效防止行人撞车时撞车的政策。

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  • 会议地点 Seoul(KR)
  • 作者

    Jaeyoung Lee; Keechoo Choi; Pei-Fen Kuo;

  • 作者单位

    Department of Civil Environmental and Construction EngineeringUniversity of Central Florida USAjaeyoung@knights.ucf.edu;

    Department of Transportation Systems EngineeringAjou University South Koreakeechoo@ajou.ac.kr;

    Department of Crime Prevention and CorrectionCentral Police University Taiwanpeifenkuo@gmail.com;

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