Spatiotemporal patterns and influencing factors of human migration networks in China during COVID-19

The social lockdowns and strict control measures initiated to combat the COVID-19 pandemic have had an impact on human migration. In this study, big data was used to analyze spatial patterns of population migration in 369 Chinese cities during the COVID-19 outbreak and to identify determinants of po...

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Autores principales:	Debin Lu, Wu Xiao, Guoyu Xu, Lin Ha, Dongyang Yang
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Human migration COVID-19, Influencing factors Baidu big data Geography (General) G1-922 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/696f5478fb7441fbbc45ec95a5d6eca6
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spelling	oai:doaj.org-article:696f5478fb7441fbbc45ec95a5d6eca62021-11-14T04:35:54ZSpatiotemporal patterns and influencing factors of human migration networks in China during COVID-192666-683910.1016/j.geosus.2021.10.001https://doaj.org/article/696f5478fb7441fbbc45ec95a5d6eca62021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2666683921000717https://doaj.org/toc/2666-6839The social lockdowns and strict control measures initiated to combat the COVID-19 pandemic have had an impact on human migration. In this study, big data was used to analyze spatial patterns of population migration in 369 Chinese cities during the COVID-19 outbreak and to identify determinants of population migration. We found that the overall migration intensity decreased by 39.87% compared to the same period in 2019 prior to the COVID-19 outbreak. COVID-19 severely affected human migration. The public holidays and weekends have impacted human migration from the perspective of time scale. The spatial pattern of China's population distribution presents a diamond structure that is dense in the east and sparse in the west, which is bounded by the Hu line and the cities such as Beijing, Shanghai, Guangzhou and Chengdu as nodes to connect. There is a strong consistency between the population distribution center and the level of urban development. The urban human migration network is centered on provincial capitals or municipalities at the regional scale, showing a prominent ''center-periphery'' structure. COVID-19 dispersed the forces of human migration in time and changed the direction of human migration in space. But it did not change the pattern of national migration. The most critical factors influencing mass migration are income levels and traditional culture. This study reveals the impacts of major public health emergencies on conventional migration patterns and provides a scientific theoretical reference for COVID-19 prevention and control.Debin LuWu XiaoGuoyu XuLin HaDongyang YangElsevierarticleHuman migrationCOVID-19, Influencing factorsBaidu big dataGeography (General)G1-922Environmental sciencesGE1-350ENGeography and Sustainability, Vol 2, Iss 4, Pp 264-274 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Human migration COVID-19, Influencing factors Baidu big data Geography (General) G1-922 Environmental sciences GE1-350
spellingShingle	Human migration COVID-19, Influencing factors Baidu big data Geography (General) G1-922 Environmental sciences GE1-350 Debin Lu Wu Xiao Guoyu Xu Lin Ha Dongyang Yang Spatiotemporal patterns and influencing factors of human migration networks in China during COVID-19
description	The social lockdowns and strict control measures initiated to combat the COVID-19 pandemic have had an impact on human migration. In this study, big data was used to analyze spatial patterns of population migration in 369 Chinese cities during the COVID-19 outbreak and to identify determinants of population migration. We found that the overall migration intensity decreased by 39.87% compared to the same period in 2019 prior to the COVID-19 outbreak. COVID-19 severely affected human migration. The public holidays and weekends have impacted human migration from the perspective of time scale. The spatial pattern of China's population distribution presents a diamond structure that is dense in the east and sparse in the west, which is bounded by the Hu line and the cities such as Beijing, Shanghai, Guangzhou and Chengdu as nodes to connect. There is a strong consistency between the population distribution center and the level of urban development. The urban human migration network is centered on provincial capitals or municipalities at the regional scale, showing a prominent ''center-periphery'' structure. COVID-19 dispersed the forces of human migration in time and changed the direction of human migration in space. But it did not change the pattern of national migration. The most critical factors influencing mass migration are income levels and traditional culture. This study reveals the impacts of major public health emergencies on conventional migration patterns and provides a scientific theoretical reference for COVID-19 prevention and control.
format	article
author	Debin Lu Wu Xiao Guoyu Xu Lin Ha Dongyang Yang
author_facet	Debin Lu Wu Xiao Guoyu Xu Lin Ha Dongyang Yang
author_sort	Debin Lu
title	Spatiotemporal patterns and influencing factors of human migration networks in China during COVID-19
title_short	Spatiotemporal patterns and influencing factors of human migration networks in China during COVID-19
title_full	Spatiotemporal patterns and influencing factors of human migration networks in China during COVID-19
title_fullStr	Spatiotemporal patterns and influencing factors of human migration networks in China during COVID-19
title_full_unstemmed	Spatiotemporal patterns and influencing factors of human migration networks in China during COVID-19
title_sort	spatiotemporal patterns and influencing factors of human migration networks in china during covid-19
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/696f5478fb7441fbbc45ec95a5d6eca6
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Spatiotemporal patterns and influencing factors of human migration networks in China during COVID-19

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