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Study on the Spatiotemporal Evolution and Influencing Factors of Urban Resilience in the Yellow River Basin

The outbreak of COVID-19 has prompted consideration of the importance of urban resilience. Based on a multidimensional perspective, the authors of this paper established a comprehensive evaluation indicator system for evaluating urban resilience in the Yellow River basin (YRB), and various methods s...

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Autores principales: Chen, Yu, Su, Xuyang, Zhou, Qian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507992/
https://www.ncbi.nlm.nih.gov/pubmed/34639530
http://dx.doi.org/10.3390/ijerph181910231
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author Chen, Yu
Su, Xuyang
Zhou, Qian
author_facet Chen, Yu
Su, Xuyang
Zhou, Qian
author_sort Chen, Yu
collection PubMed
description The outbreak of COVID-19 has prompted consideration of the importance of urban resilience. Based on a multidimensional perspective, the authors of this paper established a comprehensive evaluation indicator system for evaluating urban resilience in the Yellow River basin (YRB), and various methods such as the entropy value method, Theil index, exploratory spatial data analysis (ESDA) model, and geographical detector model were used to measure the spatiotemporal characteristics and influencing factors of urban resilience in the YRB from 2011 to 2018. The results are as follows. (1) From 2011 to 2018, the urban resilience index (URI) of the YRB showed a “V”-shaped dynamic evolution in the time series, and the URI increased by 13.4% overall. The resilience of each subsystem showed the following hierarchical structure: economic resilience > social resilience > ecological resilience > infrastructure resilience. (2) The URI of the three major regions—upstream, midstream, and downstream—increased, and the resilience of each subsystem in the region showed obvious regional characteristics. The comprehensive difference in URI values within the basin was found to be shrinking, and intraregional differences have contributed most to the comprehensive difference. (3) There were obvious zonal differences in the URI from 2011 to 2018. Shandong Peninsula and Hohhot–Baotou–Ordos showed a “High–High” agglomeration, while the southern and southwestern regions showed a “Low–Low” agglomeration. (4) Among the humanist and social factors, economic, fiscal, market, urbanization, openness, and innovation were found to be the factors that exert a high impact on the URI, while the impacts of natural factors were found to be low. The impact of the interaction of each factor is greater than that of a single factor.
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spelling pubmed-85079922021-10-13 Study on the Spatiotemporal Evolution and Influencing Factors of Urban Resilience in the Yellow River Basin Chen, Yu Su, Xuyang Zhou, Qian Int J Environ Res Public Health Article The outbreak of COVID-19 has prompted consideration of the importance of urban resilience. Based on a multidimensional perspective, the authors of this paper established a comprehensive evaluation indicator system for evaluating urban resilience in the Yellow River basin (YRB), and various methods such as the entropy value method, Theil index, exploratory spatial data analysis (ESDA) model, and geographical detector model were used to measure the spatiotemporal characteristics and influencing factors of urban resilience in the YRB from 2011 to 2018. The results are as follows. (1) From 2011 to 2018, the urban resilience index (URI) of the YRB showed a “V”-shaped dynamic evolution in the time series, and the URI increased by 13.4% overall. The resilience of each subsystem showed the following hierarchical structure: economic resilience > social resilience > ecological resilience > infrastructure resilience. (2) The URI of the three major regions—upstream, midstream, and downstream—increased, and the resilience of each subsystem in the region showed obvious regional characteristics. The comprehensive difference in URI values within the basin was found to be shrinking, and intraregional differences have contributed most to the comprehensive difference. (3) There were obvious zonal differences in the URI from 2011 to 2018. Shandong Peninsula and Hohhot–Baotou–Ordos showed a “High–High” agglomeration, while the southern and southwestern regions showed a “Low–Low” agglomeration. (4) Among the humanist and social factors, economic, fiscal, market, urbanization, openness, and innovation were found to be the factors that exert a high impact on the URI, while the impacts of natural factors were found to be low. The impact of the interaction of each factor is greater than that of a single factor. MDPI 2021-09-28 /pmc/articles/PMC8507992/ /pubmed/34639530 http://dx.doi.org/10.3390/ijerph181910231 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chen, Yu
Su, Xuyang
Zhou, Qian
Study on the Spatiotemporal Evolution and Influencing Factors of Urban Resilience in the Yellow River Basin
title Study on the Spatiotemporal Evolution and Influencing Factors of Urban Resilience in the Yellow River Basin
title_full Study on the Spatiotemporal Evolution and Influencing Factors of Urban Resilience in the Yellow River Basin
title_fullStr Study on the Spatiotemporal Evolution and Influencing Factors of Urban Resilience in the Yellow River Basin
title_full_unstemmed Study on the Spatiotemporal Evolution and Influencing Factors of Urban Resilience in the Yellow River Basin
title_short Study on the Spatiotemporal Evolution and Influencing Factors of Urban Resilience in the Yellow River Basin
title_sort study on the spatiotemporal evolution and influencing factors of urban resilience in the yellow river basin
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507992/
https://www.ncbi.nlm.nih.gov/pubmed/34639530
http://dx.doi.org/10.3390/ijerph181910231
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