Traffic and Transportation Psychology, Technische Universität Dresden, Dresden, Germany.
Transportation Ecology, Technische Universität Dresden, Dresden, Germany.
Traffic Inj Prev. 2019;20(sup3):10-15. doi: 10.1080/15389588.2019.1702647. Epub 2020 Jan 6.
A number of studies have already grouped cyclists according to different aspects of their mobility behavior. This could be used e.g., to improve the bicycle infrastructure planning, to detect critical spots and, to reduce obstacles for cycling. This wide, preexisting, range of cyclist typologies usually concentrates on one or two influence factors and differs, content-wise, in both factors used, as well as, methodically. Based on existing cyclist typologies we extracted all possible influence factors to integrate them in one single questionnaire. The objective of this study, using an empirical, based approach, is to compare this typology of cyclists with existing ones, integrating all known influence factors of recent studies. To address these issues, we conducted a Germany-wide online survey on cycling behavior, covering all relevant aspects we derived from both literature and especially, former cyclist typology studies including: social factors; the impact of environmental, individual; and route factors; as well as motives. The main goal was to identify distinct types of cyclists, and describe them as detailed as possible. The heterogeneous sample included a total of 10,294 responses. Using factor and cluster analyses, a multidimensional typology with four groups of cyclists was derived which were interpreted as: ambitious, functional, pragmatic, and passionate cyclists. In addition, socio-economic factors, cyclist's motivation, and crash history were analyzed. The results produced by grouping different characteristics of cyclists can lead to policy recommendations or communal bicycle traffic planning. Policy planners can estimate reactions of the different types on interventions and adjust their decisions which can serve to support already passionate cyclists or, encourage normally under-represented infrequent cyclists to cycle more. The extent of perceived safety plays here an important role in the classification, e.g., the handling of high-risk areas for crashes.
许多研究已经根据自行车使用者不同的出行行为特征对其进行了分类。这可以用来改善自行车基础设施规划、发现关键地段并减少骑行障碍。这些广泛存在的、预先设定的自行车类型学通常集中在一两个影响因素上,并且在使用的因素以及方法上都存在差异。基于现有的自行车类型学,我们提取了所有可能的影响因素,将其整合到一个单一的问卷中。本研究旨在使用基于实证的方法,将这种自行车使用者类型学与现有的类型学进行比较,整合最近研究中所有已知的影响因素。为了解决这些问题,我们进行了一项德国范围内的自行车出行行为在线调查,涵盖了我们从文献中得出的所有相关方面,特别是从社会因素、环境因素、个体因素和路线因素以及动机等方面,还包括了以前的自行车类型学研究。主要目标是确定不同类型的自行车使用者,并尽可能详细地描述他们。该异质样本共包括 10294 个回复。使用因子和聚类分析,得出了一个包含四个群体的多维类型学,它们被解释为:有抱负的、功能性的、实用的和热情的自行车使用者。此外,还分析了社会经济因素、自行车使用者的动机和事故史。将不同特征的自行车使用者分组所产生的结果可以为政策建议或公共自行车交通规划提供依据。政策制定者可以根据不同类型的反应来估计干预措施,并调整他们的决策,以支持已经热情的自行车使用者,或鼓励通常代表性不足的偶尔骑车者更多地骑车。感知安全的程度在分类中起着重要作用,例如,对事故高发区的处理。