Chen Jie, Guo Xiaoxin, Pan Haozhi, Zhong Shihu
School of International and Public Affairs & China Institute for Urban Governance & Center for Housing and Urban-Rural Development, Shanghai Jiao Tong University, China.
School of Public Economics and Administration, Shanghai University of Finance and Economics, China.
Sustain Cities Soc. 2021 Jul;70:102892. doi: 10.1016/j.scs.2021.102892. Epub 2021 Mar 30.
By employing the city-level data from China during the spring of 2020, this study investigates the relationship between city-level resilience against the outbreak of COVID-19 pandemics and its affecting factors, including the inflow risk pressure of COVID-19 virus (population inflow from the epicenter), city agglomeration characteristics (urban population density and city size), healthcare resource adequacy, among others. The results reveal that, while managing COVID-19 inflow risk pressure plays a critical role in the city's pandemic disaster resilience, city agglomeration characteristics also matters. To be exact, we find that large and high-density cities with high inter and intra-city mobility flows have more difficulties in containing the epidemic spread, but improving healthcare infrastructure adequacy and urban governance capacity can increase time efficacy of pandemic control and then improve the city's resilience against pandemic. Although our analysis is based on the performance of Chinese cities in the case of COVID-19, the research framework can be applied in understanding COVID-19 control performance of cities in other countries and the findings can be useful for improving health-related urban resilience and sustainability.
本研究利用2020年春季中国的城市层面数据,调查了城市层面抵御新冠疫情的韧性与其影响因素之间的关系,这些因素包括新冠病毒的流入风险压力(来自疫情中心的人口流入)、城市群特征(城市人口密度和城市规模)、医疗资源充足程度等。结果表明,虽然应对新冠病毒流入风险压力在城市的疫情灾害韧性中起着关键作用,但城市群特征也很重要。确切地说,我们发现,内部和城市间流动性高的大型高密度城市在控制疫情传播方面面临更多困难,但改善医疗基础设施充足程度和城市治理能力可以提高疫情防控的时间效率,进而提升城市抵御疫情的韧性。尽管我们的分析基于中国城市在新冠疫情中的表现,但该研究框架可用于理解其他国家城市的新冠疫情防控表现,其研究结果有助于提高与健康相关的城市韧性和可持续性。