文章编号： 1672-5328（2020）06-0100-10

惠英1，廖佳妹1，唐磊1，解英堃1，李健2
(1. 同济大学道路与交通工程教育部重点实验室，上海201804；2. 同济大学交通运输工程学院，上海201804)

摘要： 2020 年初爆发的新型冠状病毒肺炎疫情对城市交通系统造成了重大影响。利用网络问卷，调 查疫情前后公众对共享单车的选择意愿与使用行为。调查结果显示，共享单车在疫情期间的主要交 通功能由接驳其他公共交通方式变为承担完整的出行。通过建立多元逻辑回归模型分析疫情期间共 享单车使用频率的影响因素，结果显示，用户的复工状况、对疫情的担忧程度、所处地区的交通管 控程度以及共享单车的经济性、便捷性、安全性等对其有显著影响。在聚类分析的基础上总结了疫 情期间共享单车的三种使用模式，并分析用户的年龄、环保意识和城市的交通拥堵程度、交通管控 措施对使用模式选择的影响。研究表明，合理的消毒措施、科学的投放布局、舒适的骑行环境能够 有效地鼓励公众在疫情期间的必要出行中使用共享单车。研究结论为公共卫生事件防控常态化情况 下共享单车在城市交通体系中的运营管理和政策制定提供依据。

关键词： 交通管理；自行车交通；共享单车；新冠肺炎疫情；骑行行为；骑行意愿

中图分类号： U491

文献标识码：A

Travel Behavior and Preference Using Bike Sharing During the Pandemic

Hui Ying1, Liao Jiamei1, Tang Lei1, Xie Yingkun1, Li Jian2
(1.The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Shanghai 201804, China; 2.College of Transportation Engineering, Tongji University, Shanghai 201804, China)

Abstract： The outbreak of the COVID-19 in early 2020 has a huge impact on urban transportation system. This paper investigates the travel preference and behavior using bike sharing before and after the pandemic based on online questionnaire survey. The results show that the functionalities of bike sharing during the pandemic is to take the whole travel instead of connecting to other public transportation modes. A multinomial logistic regression model is developed to reveal key factors that will influence the usage of bike sharing. It implies that the condition of returning to work, people's concern about pandemic, traffic control in a region, and the economics, convenience, and safety of bike sharing will significantly influence the frequency of using bike sharing during the pandemic. Based on cluster analysis, the paper summarizes three usage modes of bike sharing during the pandemic and analyzes the effects of users' age, environmental awareness, urban traffic congestion and traffic control measures on mode choice. The results show that reasonable disinfection measures, scientific distribution and comfortable riding environment can effectively encourage public to use bike sharing in necessary travel during the pandemic. The conclusion can provide a support for policy-making and operation management of bike sharing in urban transportation system under the situation where public health incident prevention and control is normalized.

Keywords： traffic management; bicycle transportation; bike sharing; COVID- 19; cycling behavior; cycling preference