Chai Xinwei, Guo Xian, Xiao Jihua, Jiang Jie
School of Geomatics and Urban Spatial Informatics Beijing University of Civil Engineering and Architecture Beijing China.
BeiDou Navigation & LBS (Beijing) Co., Ltd Beijing China.
Trans GIS. 2021 Dec;25(6):2866-2887. doi: 10.1111/tgis.12784. Epub 2021 Sep 5.
The entire world is experiencing a crisis in public health and the economy owing to the coronavirus disease 2019 (COVID-19) pandemic. Understanding human mobility during the pandemic helps to formulate interventional strategies and resilient measures. The widely used bike-sharing system (BSS) could illustrate the activities of urban dwellers over time and space in big cities; however, it is rarely reported in epidemiological research. In this article, we analyze the BSS data to examine the human mobility of shared-bike users, detecting the key time nodes of different pandemic stages and demonstrating the evolution of human mobility owing to the onset of the COVID-19 threat and administrative restrictions. We assessed the impact of the pandemic using the results of co-location analysis between shared-bike usage and points of interest. Our results demonstrate that the pandemic has reduced overall bike usage by 64.8%; however, a subsequent average increase (15.9%) in shared-bike usage has been observed, suggesting partial recovery of productive and residential activities, although far from normal times. These findings could be a reference for epidemiological research, and thereby aid policymaking in the context of the current COVID-19 outbreak and other epidemic events at the city scale.
由于2019冠状病毒病（COVID-19）大流行，整个世界正在经历一场公共卫生和经济危机。了解大流行期间的人员流动情况有助于制定干预策略和弹性措施。广泛使用的共享单车系统（BSS）可以说明大城市中城市居民在时间和空间上的活动情况；然而，在流行病学研究中很少有相关报道。在本文中，我们分析了共享单车系统数据，以研究共享单车用户的人员流动情况，找出不同疫情阶段的关键时间节点，并展示由于COVID-19威胁的出现和行政限制导致的人员流动演变。我们使用共享单车使用情况与兴趣点之间的共置分析结果评估了大流行的影响。我们的结果表明，大流行使共享单车的总体使用量减少了64.8%；然而，随后观察到共享单车使用量平均增加了15.9%，这表明生产和居住活动出现了部分恢复，尽管远未恢复到正常时期。这些发现可为流行病学研究提供参考，从而有助于在当前COVID-19疫情及城市层面的其他疫情事件背景下制定政策。
