Comparison of contributing factors in hit-and-run crashes with distracted and non-distracted drivers
Comparison of contributing factors in hit-and-run crashes with distracted and non-distracted drivers
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DOI：
10.1016/j.trf.2015.12.016
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发表时间：
2016-04-01
影响因子：
4.1
通讯作者：
Behnood, Ali
中科院分区：
文献类型：
--
作者：
Roshandeh, Arash M.;Zhou, Bei;Behnood, Ali
在不同类型的撞车事故中，肇事逃逸是指驾驶员在车辆相撞后没有停车。在许多事故中，司机可能真的有过错或完全无辜，离开现场会把无辜的司机变成罪犯。本文旨在通过探索与基础设施条件、环境、驾驶员、该地区的人口以及撞车严重程度和类型有关的不同变量与肇事逃逸事故的关系来为文献做出贡献。该分析针对两个数据集执行：(I)驾驶员分心的撞车事故；以及(Ii)驾驶员未分心的撞车事故。带有相应因素的肇事逃逸事故数据是警方报告的2004年至2012年期间发生在伊利诺伊州库克县的撞车事故数据。Logistic回归模型评估了16个类别中的43个变量与肇事逃逸事故的统计相关性，无论是有没有分心的司机。对于这两种驾驶员分心状态，17个变量与肇事逃逸事故的概率显著增加相关，10个变量与显著降低的概率相关。此外，研究发现，当司机分心时，在弯道水平和弯道山顶路线类型上发生撞车与肇事逃逸的可能性增加，而当司机不分心时，撞车的可能性降低。与肇事逃逸事故相关的变量因驾驶员的分心状态而异。当比较撞车后逃离现场的可能性时，未分心的司机与分心的司机相比，这样做的可能性低27%。(C)2015爱思唯尔有限公司。保留所有权利。
Among different types of crashes, hit-and-run is driver's failure to stop after a vehicle crash. There are many accidents where drivers could actually be at fault or totally innocent, and leaving the scene would turn an innocent driver into a criminal. The current paper aims to contribute to the literature by exploring the association of different variables pertaining to the condition of infrastructure, environment, driver, population of the area, and crash severity and type with hit-and-run crashes. The analysis is performed for two data sets: (i) crashes where the driver was distracted; and (ii) crashes where driver was not distracted. Hit-and-run crash data with corresponding factors are police-reported data for crashes within Cook County, Illinois, occurring between 2004 and 2012. A logistic regression model assessed 43 variables within 16 categories for statistically significant association with hit-and-run crashes, for drivers with and without distraction. For both driver distraction statuses, 17 variables were associated with a significant increased probability of a hit-and-run crash and 10 variables were associated with a significant decreased probability. Additionally, it was found that crashes on curve level and curve hillcrest road alignment types were associated with increased likelihood of a hit-and-run crash when the driver was distracted and decreased likelihood when the driver was not distracted. Variables related to hit-and-run crashes vary depending on driver's distraction status. When comparing likelihood to flee the scene after a crash, non-distracted drivers are 27% less likely to do so compared to distracted drivers. (C) 2015 Elsevier Ltd. All rights reserved.