A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
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
Abstract 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.
Highlights Influence of built environment on COVID-19 at the community level was studied. Hierarchical Linear Regression Model and Ridge Regression Model were utilized. Before lockdown, markets and schools were positively associated with COVID-19. FAR, GDP, hospitals and bus stations were negatively associated with COVID-19.
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
Abstract 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.
Highlights Influence of built environment on COVID-19 at the community level was studied. Hierarchical Linear Regression Model and Ridge Regression Model were utilized. Before lockdown, markets and schools were positively associated with COVID-19. FAR, GDP, hospitals and bus stations were negatively associated with COVID-19.
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
Wang, Jingwei (author) / Zeng, Fanbo (author) / Tang, Haida (author) / Wang, Junjie (author) / Xing, Lihua (author)
Cities ; 129
2022-08-06
Article (Journal)
Electronic Resource
English
Analysis of Wuhan Urban Characteristics and Urban Spatial Planning
| British Library Conference Proceedings | 2012
Analysis of Wuhan Urban Characteristics and Urban Spatial Planning
| Trans Tech Publications | 2012