Research on Factors Influencing Bicycle Travel Behavior: Advances and Prospect

Shaoying Li, Caigang Zhuang, Konghua Liang, Entong Guo
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Abstract

Increasing the share of bicycle travel can help optimize the current urban transport structure and promote the early realization of Carbon Peak and Carbon Neutrality goals. It is essential to explore the factors that influence bicycle travel behavior. in order to build a cycling-friendly environment and increase residents' willingness to ride. This article has reviewed and summarized the current situation and trends of bicycle travel behavior. research, influencing factors, modelling methods and modelling scales over the past 24 years. This study found that: (1) research in this area has been growing rapidly since 2007, with the US and China ranking as the top two countries in the world in terms of the number of articles published. (2) Socioeconomic, physical environment, built environment and road traffic factors have become the focuses of scholars' attention in examining the influence mechanism of bicycle travel behavior. (3) With the rise of bike-sharing, the application of bike-sharing GPS Spatio-temporal big data to research the influence factors of bicycle travel has become a hot topic. Its modeling methods and spatial scales of modeling are significantly different from those based on residential travel survey data. Finally, the limitations of the current research on the impact factors of bicycle travel behavior. are analyzed. In addition, it is pointed out that individual socio-economic attributes extraction under large samples and fine scales, subjective human perception factors analysis and cycling behavior. in the post-pandemic era in China are important research directions in this field.
自行车出行行为影响因素研究进展与展望
增加自行车出行的比例有助于优化当前城市交通结构,促进碳峰值和碳中和目标的早日实现。因此,有必要探讨影响自行车出行行为的因素。为了建立一个自行车友好的环境,提高居民的骑行意愿。本文对自行车出行行为的现状和趋势进行了回顾和总结。过去24年的研究、影响因素、模拟方法和模拟尺度。本研究发现:(1)自2007年以来,该领域的研究发展迅速,美国和中国的论文发表数量居世界前两位。(2)社会经济因素、自然环境因素、建筑环境因素和道路交通因素已成为研究自行车出行行为影响机制的学者关注的焦点。(3)随着共享单车的兴起,应用共享单车GPS时空大数据研究自行车出行影响因素已成为研究热点。其建模方法和空间尺度与基于居住出行调查数据的建模存在显著差异。最后,分析了当前自行车出行行为影响因素研究的局限性。进行了分析。此外,还指出了大样本、细尺度下的个体社会经济属性提取、人的主观感知因素分析和循环行为。是该领域的重要研究方向。
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