2024年5月3日 星期五
自行车出行行为影响因素的研究现状与展望
Research on Factors Influencing Bicycle Travel Behavior: Advances and Prospect
中国地理科学评论  2023年第1卷第1期 页码[1-15]    下载全文[4.3MB]  [HTML]  
摘要

提高自行车出行分担率有助于优化城市交通出行结构、促进“双碳”目标的实现。探讨自行车出行行为影响因素对规划建设友好骑行环境、提高居民骑行意愿具有重要的指导意义。论文对近24年来国内外自行车出行行为的影响研究现状与趋势、影响因素、建模方法和建模尺度进行文献综述与归纳凝练。研究发现: ①该领域研究在2007年以来呈快速增长态势, 其中美国和中国发文量位居世界前二。②社会经济、自然环境、建成环境和道路交通因素成为学者们研究自行车出行行为影响机制关注的焦点。③随着共享自行车的兴起, 利用骑行GPS时空大数据研究自行车出行的影响因素成为热点, 其建模方法和建模空间尺度与基于居民出行调查数据的研究存在显著差 异。最后, 总结当前自行车出行行为影响因素研究所存在的局限性, 并指出大样本和精细尺度下的个体社会经济属性挖掘、主观人本感知因素分析以及我国后疫情时代下的骑行行为等是该领域未来的重要研究方向。

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.

DOI10.48014/cgsr.20220726001
文章类型综述性论文
收稿日期2022-07-26
接收日期2022-08-24
出版日期2023-03-28
关键词自行车出行行为, 影响因素, 建模方法, 空间尺度
KeywordsBicycle travel behavior, influencing factors, modelling methods, spatial scale
作者李少英*, 庄财钢, 梁孔华, 郭恩彤
AuthorLI Shaoying*, ZHUANG Caigang, LIANG Konghua, GUO Entong
所在单位广州大学地理科学与遥感学院, 广州 510006
CompanySchool of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China
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下载量578
基金项目本项研究得到了国家自然科学基金项目(资助号:41871290,42271467)的资助
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引用本文李少英, 庄财钢, 梁孔华, 等. 自行车出行行为影响因素的研究现状与展望[J]. 中国地理科学评论, 2023, 1(1): 1-15.
CitationLI Shaoying, ZHUANG Caigang, LIANG Konghua, et al. Research on factors influencing bicycle travel behavior: Advances and prospects[J]. Chinese Geography Sciences Review, 2023, 1(1): 1-15.
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