Comparative analysis of employment and residential population distribution in Wuhan before and after the epidemic and exploration of regional resilience models
The COVID-19 outbreak at the end of 2019 has had a profound impact on the global urban population structure and spatial pattern.As Wuhan is the hardest hit area,studying its population and spatial changes before and after the epi-demic is of great significance for identifying urban resilience.Based on mobile phone signaling data,analyzed the distribu-tion of residential and employed population in Wuhan before and after the epidemic,and used kernel density estimation and difference superposition technology to evaluate the resilience performance of various urban areas.The research results not only reveal the changes in the employment-residence structure of different areas in Wuhan under the impact of the epi-demic,but also provide data support and theoretical basis for the improvement of resilience and optimization of spatial structure in future urban planning.
mobile phone signaling dataurban spatial dataurban resiliencework-life balance
NETL
NSTL
万方数据
