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Analysis of spatiotemporal mobility of shared‐bike usage during COVID‐19 pandemic in Beijing
Author(s) -
Chai Xinwei,
Guo Xian,
Xiao Jihua,
Jiang Jie
Publication year - 2021
Publication title -
transactions in gis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.721
H-Index - 63
eISSN - 1467-9671
pISSN - 1361-1682
DOI - 10.1111/tgis.12784
Subject(s) - pandemic , beijing , context (archaeology) , covid-19 , outbreak , geography , public health , megacity , bike sharing , business , china , disease , medicine , transport engineering , economy , engineering , infectious disease (medical specialty) , virology , economics , nursing , archaeology , pathology
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 net 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.