大流行
社会经济地位
弹性(材料科学)
城市化
中国
心理弹性
城市复原力
地理
心理干预
经济增长
2019年冠状病毒病(COVID-19)
发展经济学
社会经济学
经济地理学
业务
环境规划
城市规划
经济
环境卫生
人口
心理学
工程类
医学
土木工程
社会心理学
病理
热力学
物理
疾病
传染病(医学专业)
精神科
考古
作者
Zhihang Yuan,Wanyang Hu
标识
DOI:10.1016/j.ijdrr.2023.103670
摘要
The COVID-19 pandemic and the associated restrictions have raised the awareness of building pandemic-resilient cities. Prior studies often evaluated the resilience of one type of urban system while lacking a comparison across various urban subsystems. This study fills this gap by measuring and comparing the adaptive resilience to the pandemic of various urban subsystems in Chinese cities. We propose a novel outcome measurement of the pandemic's socioeconomic impacts on cities, i.e., the citizens' complaints data, and use its temporal changes to measure cities' adaptive resilience to the pandemic. We find a wide range of urban subsystems were severely shocked by the pandemic, including the urban economy, construction-and-housing sector, welfare system, and education system. Different urban subsystems exhibit divergent degrees of adaptive resilience to the pandemic. Using cluster analysis, we also identify three types of cities with different patterns of adaptive resilience: cities whose general economies were the least resilient, cities whose construction-and-housing system was the least resilient, and cities that were mostly affected by restriction measures. Our findings contribute to the understanding of the pandemic's socioeconomic costs and help identify the divergent resilience of different urban subsystems so as to develop targeted policy interventions to improve cities' resilience to the pandemic.
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