Analyzing accidents and developing elderly driver-targeted measures based on accident and violation records
Analyzing accidents and developing elderly driver-targeted measures based on accident and violation records
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DOI：
10.1016/j.iatssr.2015.05.001
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发表时间：
2015-07-01
期刊：
影响因子：
3.2
通讯作者：
Nishida, Yasushi
中科院分区：
文献类型：
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作者：
Nishida, Yasushi
在这项研究中，我们使用交通事故研究和数据分析研究所的综合驾驶员数据库进行了各种分析，其中包含交通事故和违规记录。该数据库集成了驾驶员管理数据和道路交通事故统计数据，可以相当详细地探索驾驶员属性与道路交通事故特征之间的关系。通过控制我们的编译条件和改进我们的驾驶员属性集，我们的分析表明，经历过事故的驾驶员在事故发生后立即驾驶更加小心，揭示了经历过某些违规行为的驾驶员的高事故率，并产生了其他发现，可以为制定针对个别驾驶员的措施奠定基础。与此同时，我们对大年龄组的分析表明，有多次交通事故或违法行为的司机更有可能发生交通事故。包含交通事故和违规记录的综合驾驶员数据库涵盖了日本所有8100万名有执照的驾驶员，拥有200个与驾驶员属性、事故、违规相关的变量。除了让用户根据司机的年龄、性别和居住地来细化他们的关注点外，该数据库还可以分析与生活方式相关的变量，比如司机何时获得驾照，以及司机是否搬到了新地址。数据库中驾驶员属性的多样性使其成为制定针对驾驶员的措施的有前途的资源。(C) 2015作者。由爱思唯尔有限公司代表国际交通与安全科学协会制作和主持。
For this study, we performed a variety of analyses using the Institute for Traffic Accident Research and Data Analysis' Integrated Driver Database with traffic accident and violation records. The database integrates driver management data and road traffic accident statistics data, making it possible to explore the relationships among driver attributes and road traffic accident characteristics in considerable detail. By controlling our compilation conditions and refining our sets of driver attributes, our analysis showed that drivers who experience accidents drive more carefully immediately after an accident, revealed high accident rates among drivers who have experienced certain violations, and produced other findings that could constitute a foundation for developing individual driver-targeted measures. Our analysis of large age groups, meanwhile, showed that drivers with a history of numerous accidents or apprehensions/violations are more likely to cause accidents. The Integrated Driver Database with traffic accident and violation records boasts an expansive scope, covering all of the 81 million licensed drivers in Japan, and features 200 variables pertaining to driver attributes, accidents, and violations. In addition to letting users refine their focuses by driver age, sex, and place of residence, the database also enables analyses that account for lifestyle-related variables like when drivers received their licenses and whether drivers have moved to new addresses. The sheer diversity of driver attributes in the database makes it a promising resource for formulating driver-targeted measures. (C) 2015 The Author. Production and hosting by Elsevier Ltd. on behalf of International Association of Traffic and Safety Sciences.