Before revision:  Taking records of Bike Sharing Systems (BSSs) in Beijing, this paper characterizes not only temporal behavior patterns of share bike users: during ordinary days, holidays and the pandemic, but also spatial behavior patterns: around malls, metros, normal communities and infected communities, etc. This paper illustrates the evolution of share bikes usage during the pandemic and discover the critical time places showing the significant impact on the productive and social activities.
After revision:  Taking records of Bike Sharing Systems (BSSs) in Beijing, we constructed a behavior pattern analysis framework, then analyzed the spatiotemporal behavior patterns of residents, figured out the key time nodes of different pandemic periods, and discover the critical time places showing the significant impact on the productive and social activities.