Correlations between the urban built environmental factors and the spatial distribution at the community level in the reported COVID-19 samples: A case study of Wuhan

《Correlations between the urban built environmental factors and the spatial distribution at the community level in the reported COVID-19 samples: A case study of Wuhan》

打印

作者: Jingwei Wang;Fanbo Zeng;Haida Tang;Junjie Wang;Lihua Xing

来源: CITIES,Vol.129,Issue1,Article 103932

语言: 英文

关键字: COVID-19 spatial analysis;Built environmental factors;Hierarchical Linear Regression;Ridge regression;Community level

作者单位: School of Architecture, Southeast University, Nanjing 210096, China;Faculty of Innovation and Design, City University of Macau, Macau 999078, China;School of Architecture & Urban Planning/BenYuan Design and Research Center, Shenzhen University, Shenzhen 518000, China;Shenzhen Key Laboratory of Architecture for Health & Well-being (in preparation), Shenzhen, China;Shenzhen General Institute of Architectural Design and Research CO., LTD, Shenzhen 518000, China;School of Architecture, Southeast University, Nanjing 210096, China;Faculty of Innovation and Design, City University of Macau, Macau 999078, China;School of Architecture & Urban Planning/BenYuan Design and Research Center, Shenzhen University, Shenzhen 518000, China;Shenzhen Key Laboratory of Architecture for Health & Well-being (in preparation), Shenzhen, China;Shenzhen General Institute of Architectural Design and Research CO., LTD, Shenzhen 518000, China

摘要: COVID-19 has dramatically changed the lifestyle of people, especially in urban environments. This paper investigated the variations of built environments that were measurably associated with the spread of COVID-19 in 150 Wuhan communities. The incidence rate in each community before and after the lockdown (January 23, 2020), as respective dependent variables, represented the situation under normal circumstances and non-pharmaceutical interventions (NPI). After controlling the population density, floor area ratio (FAR), property age and sociodemographic factors, the built environmental factors in two spatial dimensions, the 15-minute walking life circle and the 10-minute cycling life circle, were brought into the Hierarchical Linear Regression Model and the Ridge Regression Model. The results indicated that before lockdown, the number of markets and schools were positively associated with the incidence rate, while community population density and FAR were negatively associated with COVID-19 transmission. After lockdown, FAR, GDP, the number of hospitals (in the 15-minute walking life circle) and the bus stations (in the 10-minute cycling life circle) became negatively correlated with the incidence rate, while markets remained positive. This study effectively extends the discussions on the association between the urban built environment and the spread of COVID-19. Meanwhile, given the limitations of sociodemographic data sources, the conclusions of this study should be interpreted and applied with caution.