Nighttime light perspective in urban resilience assessment and spatiotemporal impact of COVID-19 from January to June 2022 in mainland China

被引:12
|
作者
Liu, Yaohui [1 ,2 ,3 ,4 ]
Liu, Wenyi [1 ]
Zhang, Xinyu [1 ]
Lin, Yu [1 ]
Zheng, Guoqiang [1 ]
Zhao, Zhan [1 ]
Cheng, Hao [5 ]
Gross, Lutz [3 ]
Li, Xiaoli [6 ]
Wei, Benyong [4 ,7 ]
Su, Fei [1 ]
机构
[1] Shandong Jianzhu Univ, Sch Surveying & Geoinformat, Jinan 250101, Peoples R China
[2] Shandong Univ Sci & Technol, Coll Geodesy & Geomatics, Qingdao 266590, Peoples R China
[3] Univ Queensland, Sch Earth & Environm Sci, Brisbane, Qld 4072, Australia
[4] China Earthquake Adm, Inst Geol, Beijing 100029, Peoples R China
[5] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China
[6] China Earthquake Networks Ctr, Beijing 100045, Peoples R China
[7] China Earthquake Adm, Key Lab Seism & Volcan Hazards, Beijing 100029, Peoples R China
基金
中国国家自然科学基金;
关键词
Urban resilience; COVID-19; NPP-VIIRS nighttime light data; Moran's I statistics; Remote sensing; Mainland China; UNITED-STATES; DMSP-OLS;
D O I
10.1016/j.uclim.2023.101591
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The outbreak of the coronavirus disease 2019 (COVID-19) epidemic has resulted in large threats and damage to society and the economy. In this study, we evaluate and verify the comprehensive resilience and spatiotemporal impact of the COVID-19 epidemic from January to June 2022 in mainland China based on multisource data. First, we adopt a combination of the mandatory determination method and the coefficient of variation method to determine the weight of the urban resilience assessment index. Furthermore, Beijing, Shanghai, and Tianjin were selected to verify the feasibility and accuracy of the resilience assessment results based on the nighttime light data. Finally, the epidemic situation was dynamically monitored and verified with population migration data. The results show that urban comprehensive resilience of mainland China is shown in the distribution pattern of higher resilience in the middle east and south and lower resilience in the northwest and northeast. Moreover, the average light intensity index is inversely proportional to the number of newly confirmed and treated cases of COVID-19 in the local area. This study provides a scientific reference to improve the comprehensive resilience of cities to achieve the goals of sustainable development (SDGs 11): make cities and human settlements resilient and sustainable.
引用
收藏
页数:23
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