Assessing Urban Resilience from the Perspective of Scaling Law: Evidence from Chinese Cities

Urban resilience, as an emerging research focus in urban studies, is the capability of an urban system to adapt to the uncertainties and disturbances faced by modern cities. Numerical characterization of an urban system’s resilience can be performed with urban resilience indicators. Moreover, as cit...

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Published in:Land
Main Authors: Chenchen Shi, Naliang Guo, Xiaoping Zhu, Feng Wu
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2022
Subjects:
Online Access:https://doi.org/10.3390/land11101803
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spelling ftmdpi:oai:mdpi.com:/2073-445X/11/10/1803/ 2023-08-20T04:09:34+02:00 Assessing Urban Resilience from the Perspective of Scaling Law: Evidence from Chinese Cities Chenchen Shi Naliang Guo Xiaoping Zhu Feng Wu agris 2022-10-14 application/pdf https://doi.org/10.3390/land11101803 EN eng Multidisciplinary Digital Publishing Institute Urban Contexts and Urban-Rural Interactions https://dx.doi.org/10.3390/land11101803 https://creativecommons.org/licenses/by/4.0/ Land; Volume 11; Issue 10; Pages: 1803 urban scaling laws scaling exponent scale-adjusted metropolitan indicator allometric growth resilient cities resilience index scaling patterns Text 2022 ftmdpi https://doi.org/10.3390/land11101803 2023-08-01T06:53:19Z Urban resilience, as an emerging research focus in urban studies, is the capability of an urban system to adapt to the uncertainties and disturbances faced by modern cities. Numerical characterization of an urban system’s resilience can be performed with urban resilience indicators. Moreover, as cities evolve with intensive socio-economic interactions, the performances of urban indicators are heavily dependent on the scale of these interactions; these relationships are conceptualized as urban scaling laws. Therefore, this study explores the scaling patterns of urban resilience, analyzing the scaling relationship between different resilience indicators and urban population size, as well as the spatial–temporal evolutions of the scaling patterns. The empirical case is based on 267 prefectural-level cities in China. The results show resilience indicators demonstrate scaling patterns on both spatial and temporal scales. Moreover, the scale-adjusted metropolitan indicator (SAMI) differs from the commonly used per capita indicator. Therefore, the scale needs to be considered when assessing urban resilience performance. Findings in this study indicate that moderate scale enhances resilience, enriching urban resilience theorization and urban scaling laws application. The empirical results in the case study also provide a reference for future urban resilience planning and management. Text sami MDPI Open Access Publishing Land 11 10 1803
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic urban scaling laws
scaling exponent
scale-adjusted metropolitan indicator
allometric growth
resilient cities
resilience index
scaling patterns
spellingShingle urban scaling laws
scaling exponent
scale-adjusted metropolitan indicator
allometric growth
resilient cities
resilience index
scaling patterns
Chenchen Shi
Naliang Guo
Xiaoping Zhu
Feng Wu
Assessing Urban Resilience from the Perspective of Scaling Law: Evidence from Chinese Cities
topic_facet urban scaling laws
scaling exponent
scale-adjusted metropolitan indicator
allometric growth
resilient cities
resilience index
scaling patterns
description Urban resilience, as an emerging research focus in urban studies, is the capability of an urban system to adapt to the uncertainties and disturbances faced by modern cities. Numerical characterization of an urban system’s resilience can be performed with urban resilience indicators. Moreover, as cities evolve with intensive socio-economic interactions, the performances of urban indicators are heavily dependent on the scale of these interactions; these relationships are conceptualized as urban scaling laws. Therefore, this study explores the scaling patterns of urban resilience, analyzing the scaling relationship between different resilience indicators and urban population size, as well as the spatial–temporal evolutions of the scaling patterns. The empirical case is based on 267 prefectural-level cities in China. The results show resilience indicators demonstrate scaling patterns on both spatial and temporal scales. Moreover, the scale-adjusted metropolitan indicator (SAMI) differs from the commonly used per capita indicator. Therefore, the scale needs to be considered when assessing urban resilience performance. Findings in this study indicate that moderate scale enhances resilience, enriching urban resilience theorization and urban scaling laws application. The empirical results in the case study also provide a reference for future urban resilience planning and management.
format Text
author Chenchen Shi
Naliang Guo
Xiaoping Zhu
Feng Wu
author_facet Chenchen Shi
Naliang Guo
Xiaoping Zhu
Feng Wu
author_sort Chenchen Shi
title Assessing Urban Resilience from the Perspective of Scaling Law: Evidence from Chinese Cities
title_short Assessing Urban Resilience from the Perspective of Scaling Law: Evidence from Chinese Cities
title_full Assessing Urban Resilience from the Perspective of Scaling Law: Evidence from Chinese Cities
title_fullStr Assessing Urban Resilience from the Perspective of Scaling Law: Evidence from Chinese Cities
title_full_unstemmed Assessing Urban Resilience from the Perspective of Scaling Law: Evidence from Chinese Cities
title_sort assessing urban resilience from the perspective of scaling law: evidence from chinese cities
publisher Multidisciplinary Digital Publishing Institute
publishDate 2022
url https://doi.org/10.3390/land11101803
op_coverage agris
genre sami
genre_facet sami
op_source Land; Volume 11; Issue 10; Pages: 1803
op_relation Urban Contexts and Urban-Rural Interactions
https://dx.doi.org/10.3390/land11101803
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/land11101803
container_title Land
container_volume 11
container_issue 10
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