Quantitative modelling of cyclists’ route choice behaviour on utilitarian trips based on GPS data: associated factors and behavioural implications

IF 9.5 1区 工程技术 Q1 TRANSPORTATION
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Abstract

Despite many years of research and rapid changes in the field of bicycle route choice modelling, a review of factors associated with cyclists’ route choice decisions is missing. This paper reviews 33 studies that employed GPS data and statistical modelling to explain the route choice behaviour of cyclists on utilitarian trips. Factors associated with bicycle route choice are divided into network, contextual, and individual factors. Findings from this review demonstrate that a refined categorisation of model attributes is essential, as the preferences vary greatly between different route attributes. Moreover, the analysis indicates a strong influence of the local context on the attribute definitions and route choice preferences. Although some commonalities between studies w.r.t. the network factors (e.g. a preference towards bicycle infrastructure or avoidance of slopes) can be determined, many results are contradictory or intertwined with other factors. Specifically, results related to intersections, land use characteristics, and interaction with other modes of transport are not always conclusive and are strongly dependent on the local context. However, the explanation of some of the unclear effects can be facilitated by incorporating contextual or individual information in the models. Based on the analysis of the existing studies, this review encourages a joint consideration of studies employing quantitative and qualitative methods to explain cyclists’ behaviour. Moreover, reporting model results in an accessible form (e.g. through relatable values or visualisation) is essential to build bridges between bicycle research and policymaking. Future research is encouraged to study cyclists’ route choice decisions from the perspective of objective well-being, quantifying and modelling the influence of factors such as safety, health, energy expenditure, or noise exposure.

基于 GPS 数据的骑车人功利性出行路线选择行为定量建模:相关因素和行为影响
尽管在自行车路线选择建模领域进行了多年的研究并发生了日新月异的变化,但仍缺少对与骑车人路线选择决策相关的因素的综述。本文回顾了 33 项研究,这些研究采用 GPS 数据和统计建模来解释骑车人在功利性出行中的路线选择行为。与自行车路线选择相关的因素分为网络因素、环境因素和个人因素。研究结果表明,对模型属性进行细化分类至关重要,因为不同路线属性之间的偏好差异很大。此外,分析表明,当地环境对属性定义和路线选择偏好有很大影响。虽然可以确定不同研究在网络因素方面存在一些共性(如偏好自行车基础设施或避免斜坡),但许多结果相互矛盾或与其他因素交织在一起。具体来说,与交叉路口、土地使用特征以及与其他交通方式的相互作用有关的结果并不总是结论性的,而且在很大程度上取决于当地的具体情况。不过,通过在模型中纳入背景或个体信息,可以帮助解释一些不明确的影响。基于对现有研究的分析,本综述鼓励对采用定量和定性方法解释骑车人行为的研究进行联合审议。此外,以易于理解的形式报告模型结果(如通过可关联的价值或可视化)对于在自行车研究和政策制定之间搭建桥梁至关重要。我们鼓励未来的研究从客观福祉的角度研究骑车人的路线选择决策,对安全、健康、能量消耗或噪音暴露等因素的影响进行量化和建模。
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来源期刊
Transport Reviews
Transport Reviews TRANSPORTATION-
CiteScore
17.70
自引率
1.00%
发文量
32
期刊介绍: Transport Reviews is an international journal that comprehensively covers all aspects of transportation. It offers authoritative and current research-based reviews on transportation-related topics, catering to a knowledgeable audience while also being accessible to a wide readership. Encouraging submissions from diverse disciplinary perspectives such as economics and engineering, as well as various subject areas like social issues and the environment, Transport Reviews welcomes contributions employing different methodological approaches, including modeling, qualitative methods, or mixed-methods. The reviews typically introduce new methodologies, analyses, innovative viewpoints, and original data, although they are not limited to research-based content.
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