论文推荐 | 共享单车出行行为研究：中文文献综述-规划问道

导读

本期为大家推荐的内容为论文《Research on bike-sharing travel behavior: A review of the Chinese language literature》（共享单车出行行为研究：中文文献综述），发表在Transactions in Urban Data, Science, and Technology期刊，欢迎大家学习与交流。

近年来，随着信息技术的发展和低碳理念的推广，共享单车逐渐在中国城市兴起，并成为居民日常出行方式之一。与此同时，共享单车出行行为的研究已经成为城市交通规划领域的一个热点。然而，由于语言障碍，相关的中文文献在现有的研究中往往被忽视。为了填补这一空白，本文提供了一个审查共享单车出行行为的中文文献综述。通过文献计量分析，发现近期该领域的研究主要集中在共享单车出行的时空特征、影响因素和需求预测方面。此外，我们还总结了这些研究中采用的新数据和新方法以及获得的主要发现。针对相关研究的现状，我们总结了对低碳循环环境规划的见解。最后，我们建议未来的研究方向应该包括挖掘共享单车用户的社会经济属性、人文感知因素对共享单车出行的影响以及后大流行时代中国的共享单车出行行为。

论文相关

题目：Research on bike-sharing travel behavior: A review of the Chinese language literature

（共享单车出行行为研究：中文文献综述）

作者：

Shaoying Li*, Caigang Zhuang, Entong Guo, Konghua Liang, and Shi Liang

发表刊物：

Transactions in Urban Data, Science, and Technology

URL:

https://journals.sagepub.com/doi/full/10.1177/27541231231179397

引用格式：

Li, S., Zhuang, C., Guo, E., Liang, K., & Liang, S. (2023). Research on bike-sharing travel behavior: A review of the Chinese language literature. Transactions in Urban Data, Science, and Technology, 2(2-3), 100-122. https://doi.org/10.1177/27541231231179397

摘要ABSTRACT

In recent years, with the development of information technology and the promotion of low-carbon concept, bike-sharing has gradually emerged in Chinese cities and become one of the daily travel modes for residents. Meanwhile, the research on bike-sharing travel behavior has become a hot topic in the field of urban transportation planning. However, due to the language barrier, relevant Chinese language literature is often neglected in the existing studies. To fill this gap, this paper provided a review of the Chinese literature that examines bike-sharing travel behaviors. Through bibliometric analysis, we found that recent papers in this area focused on the spatiotemporal characteristics, influencing factors and demand forecasting of bike-sharing trips. Further, we summarized the new data and methods adopted and the main findings obtained in these researches. In response to the current status of relevant studies, we concluded our insights on planning for a low-carbon cycling environment. Finally, we suggest that future directions should include the mining of socio-economic attributes of individual bike-sharing users, the influence of humanistic perception factors on bike-sharing trips, and the bike-sharing travel behavior in the post-pandemic era in China.