【Abstract】The outbreak of the COVID-19 in early 2020 has a huge impact on the 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;

【DOI】 10.13813/j.cn11-5141/u.2020.0048-en