Literature DB >> 34876997

Mobility in China, 2020: a tale of four phases.

Suoyi Tan1, Shengjie Lai2, Fan Fang1, Ziqiang Cao1, Bin Sai1, Bing Song1, Bitao Dai1, Shuhui Guo1, Chuchu Liu1, Mengsi Cai1, Tong Wang1, Mengning Wang1, Jiaxu Li1, Saran Chen3, Shuo Qin4, Jessica R Floyd2, Zhidong Cao5, Jing Tan6, Xin Sun6, Tao Zhou7, Wei Zhang8, Andrew J Tatem2, Petter Holme9, Xiaohong Chen10, Xin Lu1.   

Abstract

2020 was an unprecedented year, with rapid and drastic changes in human mobility due to the COVID-19 pandemic. To understand the variation in commuting patterns among the Chinese population across stable and unstable periods, we used nationwide mobility data from 318 million mobile phone users in China to examine the extreme fluctuations of population movements in 2020, ranging from the Lunar New Year travel season (chunyun), to the exceptional calm of COVID-19 lockdown, and then to the recovery period. We observed that cross-city movements, which increased substantially in chunyun and then dropped sharply during the lockdown, are primarily dependent on travel distance and the socio-economic development of cities. Following the Lunar New Year holiday, national mobility remained low until mid-February, and COVID-19 interventions delayed more than 72.89 million people returning to large cities. Mobility network analysis revealed clusters of highly connected cities, conforming to the social-economic division of urban agglomerations in China. While the mass migration back to large cities was delayed, smaller cities connected more densely to form new clusters. During the recovery period after travel restrictions were lifted, the netflows of over 55% city pairs reversed in direction compared to before the lockdown. These findings offer the most comprehensive picture of Chinese mobility at fine resolution across various scenarios in China and are of critical importance for decision making regarding future public-health-emergency response, transportation planning and regional economic development, among others.
© The Author(s) 2021. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd.

Entities:  

Keywords:  COVID-19; behavioral response; human mobility; mobile phone data; travel restrictions

Year:  2021        PMID: 34876997      PMCID: PMC8645011          DOI: 10.1093/nsr/nwab148

Source DB:  PubMed          Journal:  Natl Sci Rev        ISSN: 2053-714X            Impact factor:   17.275


  38 in total

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3.  Population flow drives spatio-temporal distribution of COVID-19 in China.

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Journal:  Science       Date:  2020-03-06       Impact factor: 47.728

10.  The effect of human mobility and control measures on the COVID-19 epidemic in China.

Authors:  Moritz U G Kraemer; Chia-Hung Yang; Bernardo Gutierrez; Chieh-Hsi Wu; Brennan Klein; David M Pigott; Louis du Plessis; Nuno R Faria; Ruoran Li; William P Hanage; John S Brownstein; Maylis Layan; Alessandro Vespignani; Huaiyu Tian; Christopher Dye; Oliver G Pybus; Samuel V Scarpino
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  2 in total

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  2 in total

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