Tobias Panwinkler , Christian Holz-Rau , Joachim Scheiner
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Thus, the aim of this paper is to determine geographical factors that influence severe accidents and to evaluate this influence. We have identified relevant geographical factors and proven their influence on two types of severity: risk of severe bicycle accidents per region (RS) and probability of severe injuries in case of accident (AS). Spatial analyses indicate that for both bicycle types, severity of accident increases in rural, mountainous or tourist regions. Regression analyses of RS provided further evidence: compactness of settlement structure (thus urbanity/rurality), share of tourists, altitude differences (only pedelecs), rate of registered motor vehicles and share of elderly population (only pedelecs) influence the risk of severe bicycle accidents per region. The influence of geographical variables tended to be greater for pedelecs. Regression analyses of AS reveal that geographical factors also have an influence on the probability of severe injuries in case of an accident.</p></div>","PeriodicalId":34480,"journal":{"name":"Transportation Engineering","volume":"16 ","pages":"Article 100232"},"PeriodicalIF":0.0000,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666691X24000071/pdfft?md5=afaa2c6cca3ea55fd9f84e0d07d874d0&pid=1-s2.0-S2666691X24000071-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Spatial dimension of accidents involving pedelecs 25 and conventional bicycles\",\"authors\":\"Tobias Panwinkler , Christian Holz-Rau , Joachim Scheiner\",\"doi\":\"10.1016/j.treng.2024.100232\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The pedelec 25 (pedal electric cycle) has established itself as a popular mode of transport, with sales rising. Unfortunately, this has also led to an increase in the number of accidents. Analyses of pedelec accidents have been carried out, but most studies are based on technical variables. Neither spatial, geographical factors, for example the terrain, nor socio-geographical aspects, such as whether an accident occurred in a tourist region, have been much addressed. However, geographical exposure can vary significantly. Therefore, we assume that spatial differences contribute to regional variations in numbers of accidents and resulting injuries associated with both bicycle types (pedelecs 25 and conventional). Thus, the aim of this paper is to determine geographical factors that influence severe accidents and to evaluate this influence. We have identified relevant geographical factors and proven their influence on two types of severity: risk of severe bicycle accidents per region (RS) and probability of severe injuries in case of accident (AS). Spatial analyses indicate that for both bicycle types, severity of accident increases in rural, mountainous or tourist regions. Regression analyses of RS provided further evidence: compactness of settlement structure (thus urbanity/rurality), share of tourists, altitude differences (only pedelecs), rate of registered motor vehicles and share of elderly population (only pedelecs) influence the risk of severe bicycle accidents per region. The influence of geographical variables tended to be greater for pedelecs. Regression analyses of AS reveal that geographical factors also have an influence on the probability of severe injuries in case of an accident.</p></div>\",\"PeriodicalId\":34480,\"journal\":{\"name\":\"Transportation Engineering\",\"volume\":\"16 \",\"pages\":\"Article 100232\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666691X24000071/pdfft?md5=afaa2c6cca3ea55fd9f84e0d07d874d0&pid=1-s2.0-S2666691X24000071-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666691X24000071\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666691X24000071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
摘要
踏板电动车 25(pedelec 25)已成为一种流行的交通工具,销量不断攀升。不幸的是,这也导致了事故数量的增加。已经对三轮车事故进行了分析,但大多数研究都是基于技术变量。空间地理因素(如地形)和社会地理因素(如事故是否发生在旅游区)都没有得到广泛关注。然而,地理位置可能会有很大差异。因此,我们认为,空间上的差异会导致与两种自行车类型(三轮车 25 和传统自行车)相关的事故数量和造成的伤害的地区差异。因此,本文旨在确定影响严重事故的地理因素,并对这种影响进行评估。我们确定了相关的地理因素,并证明了它们对两种严重程度的影响:每个地区发生严重自行车事故的风险(RS)和发生事故时严重受伤的概率(AS)。空间分析表明,对于这两种类型的自行车事故,农村、山区或旅游区的事故严重程度都会增加。对 RS 的回归分析提供了进一步的证据:聚落结构的紧凑程度(即城市化/乡村化)、游客比例、海拔差异(仅指三轮车)、机动车注册率和老年人口比例(仅指三轮车)影响着每个地区发生严重自行车事故的风险。地理变量对三轮车的影响往往更大。对 AS 的回归分析表明,地理因素对事故中严重受伤的概率也有影响。
Spatial dimension of accidents involving pedelecs 25 and conventional bicycles
The pedelec 25 (pedal electric cycle) has established itself as a popular mode of transport, with sales rising. Unfortunately, this has also led to an increase in the number of accidents. Analyses of pedelec accidents have been carried out, but most studies are based on technical variables. Neither spatial, geographical factors, for example the terrain, nor socio-geographical aspects, such as whether an accident occurred in a tourist region, have been much addressed. However, geographical exposure can vary significantly. Therefore, we assume that spatial differences contribute to regional variations in numbers of accidents and resulting injuries associated with both bicycle types (pedelecs 25 and conventional). Thus, the aim of this paper is to determine geographical factors that influence severe accidents and to evaluate this influence. We have identified relevant geographical factors and proven their influence on two types of severity: risk of severe bicycle accidents per region (RS) and probability of severe injuries in case of accident (AS). Spatial analyses indicate that for both bicycle types, severity of accident increases in rural, mountainous or tourist regions. Regression analyses of RS provided further evidence: compactness of settlement structure (thus urbanity/rurality), share of tourists, altitude differences (only pedelecs), rate of registered motor vehicles and share of elderly population (only pedelecs) influence the risk of severe bicycle accidents per region. The influence of geographical variables tended to be greater for pedelecs. Regression analyses of AS reveal that geographical factors also have an influence on the probability of severe injuries in case of an accident.