Quantifying Human Mobility Resilience to the COVID-19 Pandemic: A Case Study of Beijing, China

47 Pages Posted: 9 Sep 2022

See all articles by Yaxi Liu

Yaxi Liu

Chinese Academy of Sciences (CAS) - State Key Laboratory of Resources and Environmental Information System

Xi Wang

Chinese Academy of Sciences (CAS) - State Key Laboratory of Resources and Environmental Information System

Ci Song

Chinese Academy of Sciences (CAS) - State Key Laboratory of Resources and Environmental Information System

Jie Chen

Chinese Academy of Sciences (CAS) - State Key Laboratory of Resources and Environmental Information System

Hua Shu

Chinese Academy of Sciences (CAS) - State Key Laboratory of Resources and Environmental Information System

Mingbo Wu

Chinese Academy of Sciences (CAS) - State Key Laboratory of Resources and Environmental Information System

Sihui Guo

Chinese Academy of Sciences (CAS) - State Key Laboratory of Resources and Environmental Information System

Qiang Huang

Chinese Academy of Sciences (CAS) - State Key Laboratory of Resources and Environmental Information System

Tao Pei

Chinese Academy of Sciences (CAS) - State Key Laboratory of Resources and Environmental Information System

Abstract

Human mobility, as a fundamental requirement of everyday life, has been most directly impacted during the COVID-19 pandemic. Existing studies have revealed its ensuing changes. However, its resilience, which is defined as people’s ability to resist such impact and maintain their normal mobility, still remains unclear. Such resilience reveals people’s response capabilities to the pandemic and quantifying it can help us better understand the interplay between them. Herein, we introduced an integrated framework to quantify the resilience of human mobility to COVID-19 based on its change process . Taking Beijing as a case study, the resilience of different mobility characteristics among different population groups, and under different waves of COVID-19, were compared. Overall, the mobility range and diversity were found to be less resilient than decisions on whether to move. Females consistently exhibited lower resilience than males; middle-aged people exhibited the lowest resilience under the first wave of COVID-19 while older adult’s resilience became the lowest during the COVID-19 rebound. With the refinement of pandemic-control measures, human mobility resilience was enhanced. These findings reveal heterogeneities and variations in people’s response capabilities to the pandemic, which can help formulate targeted and flexible policies, and thereby promote sustainable and resilient urban management .

Keywords: Human mobility, Resilience, COVID-19, pandemic, Heterogeneities, Mobile phone data

Suggested Citation

Liu, Yaxi and Wang, Xi and Song, Ci and Chen, Jie and Shu, Hua and Wu, Mingbo and Guo, Sihui and Huang, Qiang and Pei, Tao, Quantifying Human Mobility Resilience to the COVID-19 Pandemic: A Case Study of Beijing, China. Available at SSRN: https://ssrn.com/abstract=4200305 or http://dx.doi.org/10.2139/ssrn.4200305

Yaxi Liu

Chinese Academy of Sciences (CAS) - State Key Laboratory of Resources and Environmental Information System ( email )

Beijing, 100101
China

Xi Wang

Chinese Academy of Sciences (CAS) - State Key Laboratory of Resources and Environmental Information System ( email )

Beijing, 100101
China

Ci Song

Chinese Academy of Sciences (CAS) - State Key Laboratory of Resources and Environmental Information System ( email )

Beijing, 100101
China

Jie Chen

Chinese Academy of Sciences (CAS) - State Key Laboratory of Resources and Environmental Information System ( email )

Beijing, 100101
China

Hua Shu

Chinese Academy of Sciences (CAS) - State Key Laboratory of Resources and Environmental Information System ( email )

Beijing, 100101
China

Mingbo Wu

Chinese Academy of Sciences (CAS) - State Key Laboratory of Resources and Environmental Information System ( email )

Beijing, 100101
China

Sihui Guo

Chinese Academy of Sciences (CAS) - State Key Laboratory of Resources and Environmental Information System ( email )

Beijing, 100101
China

Qiang Huang

Chinese Academy of Sciences (CAS) - State Key Laboratory of Resources and Environmental Information System ( email )

Beijing, 100101
China

Tao Pei (Contact Author)

Chinese Academy of Sciences (CAS) - State Key Laboratory of Resources and Environmental Information System ( email )

Beijing, 100101
China

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