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?:abstract
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The outbreak of COVID-19 challenged China\'s urban system Exploring the spatial pattern and influencing factors of the incidence of COVID-19 (PRcovid) at the city level can provide insights into urban sustainable development The purpose of this paper is to explore the spatial heterogeneity of the relationship between the incidence of COVID-19 and population migration and socioeconomic factors in Chinese cities Based on the geographically weighted regression (GWR) model, we analyzed the impact of the migration rate of all other cities across the country (MRall), migration rate of Wuhan (MRwuhan), GDP per capita (GDPPC), green area per capita (GApc), number of medical staff per capita (NMSpc) and public expenditure per capita (PEpc) on the PRcovid in 282 cities in China The results show that: (1) The explanatory power of GWR model on PRcovid (overall R2=0 40) was significantly higher than that of ordinary least squares linear regression model (overall R2=0 02) (2) The impact of MRwuhan decreased with increasing distance from Wuhan, except for parts of Northeast and Southwest China (3) GDPpc played a positive role in controlling the PRcovid in the more developed southeast region (4) The indicators of GApc and NMSpc only effected positively in small parts of the country, excluding cities around Wuhan In contrast, PEpc played a key role in controlling the PCcovid in the surrounding areas of Wuhan In conclusion, the incidence of COVID-19 in Chinese cities and its relationship with migration / urban socioeconomic indicators showed clear spatial patterns The impact of migration, public investment and urban greening all followed a certain spatial attenuation pattern from Wuhan, while the impact of economic level is regional-dependent © 2020, Editorial Board, Research of Environmental Sciences All right reserved
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