首页> 外文期刊>Traffic Injury Prevention >Crash Involvement of Motor Vehicles in Relationship to the Number and Severity of Traffic Offenses - An Exploratory Analysis of Dutch Traffic Offenses and Crash Data
【24h】

Crash Involvement of Motor Vehicles in Relationship to the Number and Severity of Traffic Offenses - An Exploratory Analysis of Dutch Traffic Offenses and Crash Data

机译:与交通违法行为的数量和严重程度有关的机动车碰撞事故-荷兰交通违法行为和碰撞数据的探索性分析

获取原文
获取原文并翻译 | 示例
           

摘要

Objective: To establish the statistical relationship between offenses and crashes when the unit of analysis is the vehicle instead of the driver, to show the influence of the severity (e.g., minor speed offenses) on this relationship, and to research whether the form of this relationship is similar in different enforcement contexts. Methods: An exploratory analysis was conducted using Dutch traffic offense and crash data. Crash data included all police-registered crashes involving motorized and registered vehicles in 2009; offense data included all non-criminal traffic offenses registered during 2005-2009 (mostly camera detected). Together these comprise an estimated 97 percent of all traffic offenses registered in this period. The analysis was done on a level of identified vehicles rather than persons. Vehicles involved in crashes were matched to vehicles involved in traffic offenses. The offense frequency distributions of registered crash involved vehicles and a random selection of vehicles was analyzed. Two comparisons were made: (1) privately owned vehicles versus company-owned vehicles and (2) vehicles for which only minor speed offenses were registered versus vehicles for which at least one major speed offense was registered. Results: An increase in traffic offense frequency coincides with a stronger increase in relative crash involvement. This relationship was adequately described by a power function. The slightly more than linear increase in the crash risk for vehicles with only minor speed offenses suggests that minor speed offenses (<10 km/h over the limit) contributed slightly to crashes. This relationship was unlikely to be caused by increased distance traveled only. For vehicles with at least one or more major speed violation an approximately quadratic increase of crash risk with increasing speed offense frequency was found. A comparison of Dutch and Canadian data showed a much more progressive offense-crash relationship in the Dutch data. Conclusion: The crash involvement of vehicles increased more than linearly with the number of minor traffic violations. Thus, automatic detection of minor offenses bears relevance to safety. The substantial increase in crash rates with speed offense frequency for vehicles with at least one major speed violation suggests that these vehicles represent a specific group with a significantly increased crash risk, especially in the case of many minor offenses. The more progressive relationship between offenses and crashes in The Netherlands when compared to Canada was hypothesized to result from the higher intensity camera enforcement levels and less severe consequences in the Dutch enforcement and adjudication system. Supplemental materials are available for this article. Go to the publisher's online edition of Traffic Injury Prevention to view the supplemental file.
机译:目的:建立分析单位为车辆而不是驾驶员时违规和撞车之间的统计关系,以显示严重程度(例如轻度违规)对此关系的影响,并研究这种形式的形式在不同的执法环境中,这种关系是相似的。方法:使用荷兰的交通违法行为和碰撞数据进行了探索性分析。事故数据包括2009年所有警方登记的涉及机动车辆和登记车辆的事故;犯罪数据包括2005-2009年期间记录的所有非犯罪性交通犯罪(主要是检测到摄像头)。这些加在一起占这一时期登记的所有交通犯罪的97%。分析是在确定的车辆而非人员的级别上进行的。与撞车有关的车辆与与交通违法有关的车辆相匹配。登记的撞车事故频率分布和车辆随机分析。进行了两个比较:(1)私人车辆与公司拥有的车辆;(2)仅记录了轻微速度违法行为的车辆与至少记录了一次重大速度犯罪的车辆。结果:交通违例次数的增加与相对撞车事故的增加相吻合。幂函数充分描述了这种关系。对于仅轻微违反速度规定的车辆,碰撞风险的线性增加略多于线性,这表明轻微违反速度(超出限制<10 km / h)对碰撞的影响较小。这种关系不太可能仅由增加的行进距离引起。对于具有至少一个或多个主要速度违规的车辆,发现碰撞风险随着速度违规频率的增加而近似二次增加。荷兰数据和加拿大数据的比较显示,荷兰数据中的违犯行为关系更加进步。结论:车辆的撞车事故随轻微交通违规事件的增加而线性增加。因此,对轻罪的自动检测与安全有关。至少有一次重大速度违规的车辆发生撞车事故的频率随速度犯罪频率的增加而增加,这表明这些车辆代表了特定的群体,其撞车风险显着增加,尤其是在许多次要违法行为的情况下。与加拿大相比,荷兰的违法行为与坠机之间的关系更为先进,据推测是由于较高的摄像头执法水平和对荷兰的执法和审判系统造成的较不严重的后果所致。补充材料可用于本文。转到发布者的在线交通伤害预防在线版本以查看补充文件。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号