Typology of bicycle crashes based on a survey of a thousand injured cyclists from a road trauma registry

Q3 Engineering Advances in Transportation Studies Pub Date : 2014-01-01 DOI:10.4399/97888548735373
A. Billot-Grasset, V. Viallon, E. Amoros, M. Hours
{"title":"Typology of bicycle crashes based on a survey of a thousand injured cyclists from a road trauma registry","authors":"A. Billot-Grasset, V. Viallon, E. Amoros, M. Hours","doi":"10.4399/97888548735373","DOIUrl":null,"url":null,"abstract":"Bicycles are an alternative means of transport, promoted for health benefits. However, cycling is risky. In France the annual incidence of cycling injuries is estimated at 70 per 100,000. Most existing cycling safety studies are based on police data, which is inappropriate to cyclist safety research, being biased as to accident type (single vs. multi-vehicle crash) and recording as much as 10 times fewer cyclists than a road trauma registry for the same geographical area. The present study therefore used a postal survey sent to victims injured while cycling in 2009-2011 and identified in a road trauma registry. The survey sample comprised 1,078 injured cyclists. This article presents the construction of a Typology of Bicycle Crashes. A multifactorial approach is adopted with the Partitioning Around Medoids algorithm. Seventeen crash configurations compose the typology (7 utilitarian trips, 3 leisure rides and 7 sport practices), with 35 variables; the most discriminatory variables were \"collide with another road user\", \"commutes\", \"practices sport\" and \"aged 60 and over\". Each accident configuration is described by the proportion of its main characteristics in comparison with that in the overall sample. Some other factors, such as “avoids another road user” (10%), \"bad weather\" (13%), \"riding at night\" (14%), \"off-road ride\" (20%) and \"slips on the road\" (40%), discriminated for collisions with another road user or obstacle. Injury severity in the 17 configurations is explored.","PeriodicalId":39032,"journal":{"name":"Advances in Transportation Studies","volume":"2 1","pages":"17-28"},"PeriodicalIF":0.0000,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4399/97888548735373","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Transportation Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4399/97888548735373","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 4

Abstract

Bicycles are an alternative means of transport, promoted for health benefits. However, cycling is risky. In France the annual incidence of cycling injuries is estimated at 70 per 100,000. Most existing cycling safety studies are based on police data, which is inappropriate to cyclist safety research, being biased as to accident type (single vs. multi-vehicle crash) and recording as much as 10 times fewer cyclists than a road trauma registry for the same geographical area. The present study therefore used a postal survey sent to victims injured while cycling in 2009-2011 and identified in a road trauma registry. The survey sample comprised 1,078 injured cyclists. This article presents the construction of a Typology of Bicycle Crashes. A multifactorial approach is adopted with the Partitioning Around Medoids algorithm. Seventeen crash configurations compose the typology (7 utilitarian trips, 3 leisure rides and 7 sport practices), with 35 variables; the most discriminatory variables were "collide with another road user", "commutes", "practices sport" and "aged 60 and over". Each accident configuration is described by the proportion of its main characteristics in comparison with that in the overall sample. Some other factors, such as “avoids another road user” (10%), "bad weather" (13%), "riding at night" (14%), "off-road ride" (20%) and "slips on the road" (40%), discriminated for collisions with another road user or obstacle. Injury severity in the 17 configurations is explored.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于对一千名道路创伤登记的受伤骑车人的调查得出的自行车碰撞类型
自行车是另一种交通工具,因为对健康有益而被推广。然而,骑自行车是有风险的。在法国,每年骑自行车受伤的发生率估计为10万分之70。大多数现有的自行车安全研究都是基于警方的数据,这对于自行车安全研究是不合适的,在事故类型(单车与多车碰撞)上存在偏见,并且在同一地理区域记录的骑车者数量比道路创伤登记册少10倍。因此,本研究使用了2009-2011年期间向骑车受伤的受害者发送的邮政调查,并在道路创伤登记处进行了确认。调查样本包括1078名受伤的骑自行车者。本文提出了自行车事故类型学的建构。该算法采用了一种多因子方法来实现围绕介质的分区。17种碰撞配置构成类型学(7种实用旅行,3种休闲旅行和7种运动实践),有35个变量;最具歧视性的变量是“与其他道路使用者发生碰撞”、“通勤”、“从事体育运动”和“60岁及以上”。每一种事故配置都用其主要特征与总体样本的比较比例来描述。其他一些因素,如“避开其他道路使用者”(10%)、“恶劣天气”(13%)、“夜间骑行”(14%)、“越野骑行”(20%)和“在路上滑倒”(40%),会因与其他道路使用者或障碍物的碰撞而被区分开来。研究了17种构型的损伤严重程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Advances in Transportation Studies
Advances in Transportation Studies Engineering-Safety, Risk, Reliability and Quality
CiteScore
1.00
自引率
0.00%
发文量
0
期刊最新文献
A methodology to identify critical road sections by means of cyclist's fatigue Exploring the impacts of intersection and traffic characteristics on the frequency and severity of bicycle-vehicle conflicts Estimating the Impact of Green Light Optimized Speed Advisory (Glosa) on Exhaust Emissions Through the Integration Ofvissim and Moves Drivers' self-reported reasons of speeding: a Turkish driver sample from two cities Applications of transit smart cards beyond a fare collection tool: a literature review
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1