Exploring the spatio-temporal evolution of economic resilience in Chinese cities during the COVID-19 crisis
文献类型: 外文期刊
作者: Cheng, Tong 1 ; Zhao, Yonghua 1 ; Zhao, Chunjiang 1 ;
作者机构: 1.Changan Univ, Shaanxi Prov Land Consolidat Engn Technol Res Ctr, Sch Land Engn, Shaanxi Key Lab Land Consolidat, 126 Yanta Rd, Xian 710054, Peoples R China
2.Minist Nat & Resources, Key Lab Degraded & Unused Land Consolidat Engn, Xian, Peoples R China
3.Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
关键词: COVID-19; NO2; Economicresilience; ESTDA; Standarddeviationalellipse; Spatiotemporalevolution
期刊名称:SUSTAINABLE CITIES AND SOCIETY ( 影响因子:10.696; 五年影响因子:9.908 )
ISSN: 2210-6707
年卷期: 2022 年 84 卷
页码:
收录情况: SCI
摘要: Fully understanding the spatio-temporal evolution of economic resilience is key to formulating policy responses to major public health events. In particular, whether developed cities in economically-populated regions remain in an unprecedented position in terms of resilience. Based on economic resilience measured from undesired economic output, the economic resilience of Chinese cities in 2020 was analyzed using GIS to characterize the spatio-temporal evolution of globality and local interactions. The results show: compared to financial crisis, the impact of the COVID-19 pandemic on the economy was all-encompassing; There were different trends in the four economic regions; The overall economic resilience had a stable local spatial structure and local spatial depen-dence, in contrast to the less developed cities in the interior which had a dynamic local spatial structure; The spatial distribution of economic resilience showed a trend towards agglomeration and an evolution from southeast-northwest to northeast-southwest pattern; The weighted average centers moved from the northwest to the southeast. Our findings provide a more comprehensive picture of the spatial and temporal evolution of economic resilience in Chinese cities in the early stages of the COVID-19 pandemic, as well as supporting further researches that can inform territorial spatial planning in sustainable development strategies.
- 相关文献
作者其他论文 更多>>
-
Recognition of wheat rusts in a field environment based on improved DenseNet
作者:Chang, Shenglong;Cheng, Jinpeng;Fan, Zehua;Ma, Xinming;Li, Yong;Zhao, Chunjiang;Chang, Shenglong;Yang, Guijun;Cheng, Jinpeng;Fan, Zehua;Yang, Xiaodong;Zhao, Chunjiang
关键词:Plant disease; Wheat rust; Image processing; Deep learning; Computer vision (CV); DenseNet
-
GCVC: Graph Convolution Vector Distribution Calibration for Fish Group Activity Recognition
作者:Zhao, Zhenxi;Zhao, Chunjiang;Zhao, Zhenxi;Yang, Xinting;Zhou, Chao;Zhao, Chunjiang;Zhao, Zhenxi;Yang, Xinting;Zhou, Chao;Zhao, Chunjiang;Zhao, Zhenxi;Yang, Xinting;Zhou, Chao;Zhao, Chunjiang;Liu, Jintao
关键词:Fish; Feature extraction; Activity recognition; Calibration; Adhesives; Training; Convolution; Graph convolution vector calibration; fish group activity; activity feature vector calibration; fish activity dataset
-
Adaptive precision cutting method for rootstock grafting of melons: modeling, analysis, and validation
作者:Chen, Shan;Zhao, Chunjiang;Chen, Shan;Jiang, Kai;Zheng, Wengang;Jia, Dongdong;Zhao, Chunjiang;Jiang, Kai;Zheng, Wengang;Jia, Dongdong;Zhao, Chunjiang
关键词:Melon; Grafting robot; Adaptive cutting; Rootstock pith cavity; Machine vision
-
Long-range infrared absorption spectroscopy and fast mass spectrometry for rapid online measurements of volatile organic compounds from black tea fermentation
作者:Yang, Chongshan;Li, Guanglin;Zhao, Chunjiang;Fu, Xinglan;Yang, Chongshan;Jiao, Leizi;Wen, Xuelin;Lin, Peng;Duan, Dandan;Zhao, Chunjiang;Dong, Daming;Yang, Chongshan;Jiao, Leizi;Wen, Xuelin;Lin, Peng;Duan, Dandan;Dong, Daming;Dong, Chunwang
关键词:Black tea fermentation; Volatile organic compounds; Proton transfer reaction mass spectrometry; Fourier transform infrared spectroscopy; Principal component analysis; Extreme learning machine
-
Navigation line extraction algorithm for corn spraying robot based on YOLOv8s-CornNet
作者:Guo, Peiliang;Diao, Zhihua;Ma, Shushuai;He, Zhendong;Zhao, Suna;Zhao, Chunjiang;Li, Jiangbo;Zhang, Ruirui;Yang, Ranbing;Zhang, Baohua
关键词:agricultural robotics; computer vision; deep learning; navigation line extraction; network lightweight
-
An ultra-lightweight method for individual identification of cow-back pattern images in an open image set
作者:Wang, Rong;Gao, Ronghua;Li, Qifeng;Zhao, Chunjiang;Ding, Luyu;Yu, Ligen;Ma, Weihong;Wang, Rong;Zhao, Chunjiang;Gao, Ronghua;Li, Qifeng;Zhao, Chunjiang;Ding, Luyu;Yu, Ligen;Ma, Weihong;Ru, Lin
关键词:Cow-back pattern; Cow recognition; LightCowsNet; Open image set; Deep learning
-
Unveiling the hidden impact: How biodegradable microplastics influence CO 2 and CH 4 emissions and Volatile Organic Compounds (VOCs) profiles in soil ecosystems
作者:Wang, Yihao;Zhao, Chunjiang;Lu, Anxiang;Dong, Daming;Gong, Wenwen;Wang, Yihao
关键词:Biodegradable microplastics; Paddy and upland soils; Greenhouse gases; Volatile Organic Compounds; Optical gas sensor



