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Causes of pedelec (pedal electric cycle) single accidents and their influence on injury severity

机译:PEDELEC(踏板电动循环)单一事故的原因及其对损伤严重程度的影响

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摘要

Pedelecs (pedal electric cycles) have become increasingly popular in recent years. This increase may trigger many positive effects, but unfortunately it also results in an increase in accidents, especially single accidents, involving these vehicles. This investigation analyses 1738 free text descriptions of pedelec single accidents written by police officers on site. The accidents occurred in 2016 and 2017 in 14 federal German states. The aim is to evaluate whether pedelec single accidents have specific causes that have not yet been recorded in the official accident statistics. Results show that most cases can be assigned to categories addressing the user (60 %) or the road design (54 %, accidents can be assigned to several categories). With this dataset it is also possible to analyse the severity of injuries using ordered probit analysis. Of the nine categories where severe injuries are expected, most address the user. In addition, serious injuries are expected when problems are encountered on downhill slopes or involve technical faults. An additional ordered probit analysis with a second dataset, based on different sources but using the same categorisation, supports these results.
机译:近年来,Pedelecs(踏板电动循环)变得越来越受欢迎。这种增加可能引发许多积极影响,但遗憾的是,它也会导致事故发生增加,尤其是涉及这些车辆的事故。本研究分析了现场警务人员撰写的PEDELEC单一事故的1738个免费文本描述。事故发生在2016年和2017年在14个联邦德国国家。目的是评估授权人权事故是否具有尚未在官方事故统计中记录的特定原因。结果表明,大多数情况都可以分配给寻址用户(60%)或道路设计的类别(54%,事故可以分配给几个类别)。使用此数据集,还可以使用有序探测分析分析损伤的严重程度。预期严重伤害的九个类别,大多数人都在地址。此外,预期在下坡斜坡上遇到问题或涉及技术故障时会有严重的伤害。具有基于不同源但使用相同分类的另外的有序探测分析,并使用相同的分类,支持这些结果。

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