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

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  • Chenchen Shi

    (School of Urban Economics and Public Administration, Capital University of Economics and Business, Beijing 100070, China
    Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    Beijing Key Laboratory of Megaregions Sustainable Development Modeling, Capital University of Economics and Business, Beijing 100070, China)

  • Naliang Guo

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Xiaoping Zhu

    (College of Agronomy and Biotechnology, Hebei Normal University of Science & Technology, Qinhuangdao 066104, China)

  • Feng Wu

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

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.

Suggested Citation

  • Chenchen Shi & Naliang Guo & Xiaoping Zhu & Feng Wu, 2022. "Assessing Urban Resilience from the Perspective of Scaling Law: Evidence from Chinese Cities," Land, MDPI, vol. 11(10), pages 1-23, October.
  • Handle: RePEc:gam:jlands:v:11:y:2022:i:10:p:1803-:d:942798
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    References listed on IDEAS

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    1. Lin Ding & Zhenfeng Shao & Hanchao Zhang & Cong Xu & Dewen Wu, 2016. "A Comprehensive Evaluation of Urban Sustainable Development in China Based on the TOPSIS-Entropy Method," Sustainability, MDPI, vol. 8(8), pages 1-23, August.
    2. Fabiano L Ribeiro & Joao Meirelles & Vinicius M Netto & Camilo Rodrigues Neto & Andrea Baronchelli, 2020. "On the relation between transversal and longitudinal scaling in cities," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-20, May.
    3. Chenchen Shi & Xiaoping Zhu & Haowei Wu & Zhihui Li, 2022. "Assessment of Urban Ecological Resilience and Its Influencing Factors: A Case Study of the Beijing-Tianjin-Hebei Urban Agglomeration of China," Land, MDPI, vol. 11(6), pages 1-14, June.
    4. Diego Puga, 2010. "The Magnitude And Causes Of Agglomeration Economies," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 203-219, February.
    5. Abhas K. Jha & Todd W. Miner & Zuzana Stanton-Geddes, 2013. "Building Urban Resilience : Principles, Tools, and Practice," World Bank Publications - Books, The World Bank Group, number 13109, December.
    6. Emanuele Strano & Vishal Sood, 2016. "Rich and Poor Cities in Europe. An Urban Scaling Approach to Mapping the European Economic Transition," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-8, August.
    7. Susan Cutter, 2016. "The landscape of disaster resilience indicators in the USA," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(2), pages 741-758, January.
    8. Francis, Royce & Bekera, Behailu, 2014. "A metric and frameworks for resilience analysis of engineered and infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 90-103.
    9. Ron Martin, 2012. "Regional economic resilience, hysteresis and recessionary shocks," Journal of Economic Geography, Oxford University Press, vol. 12(1), pages 1-32, January.
    10. Luis Bettencourt & Geoffrey West, 2010. "A unified theory of urban living," Nature, Nature, vol. 467(7318), pages 912-913, October.
    11. Hallegatte, Stephane, 2014. "Economic resilience: definition and measurement," Policy Research Working Paper Series 6852, The World Bank.
    12. Hugo Herrera & Birgit Kopainsky, 2020. "Using system dynamics to support a participatory assessment of resilience," Environment Systems and Decisions, Springer, vol. 40(3), pages 342-355, September.
    13. Nicholas Z Muller & Akshaya Jha, 2017. "Does environmental policy affect scaling laws between population and pollution? Evidence from American metropolitan areas," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-15, August.
    14. Mary Fastiggi & Sara Meerow & Thaddeus R Miller, 2021. "Governing urban resilience: Organisational structures and coordination strategies in 20 North American city governments," Urban Studies, Urban Studies Journal Limited, vol. 58(6), pages 1262-1285, May.
    15. Luiz G A Alves & Renio S Mendes & Ervin K Lenzi & Haroldo V Ribeiro, 2015. "Scale-Adjusted Metrics for Predicting the Evolution of Urban Indicators and Quantifying the Performance of Cities," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-17, September.
    16. Luís M A Bettencourt & José Lobo & Deborah Strumsky & Geoffrey B West, 2010. "Urban Scaling and Its Deviations: Revealing the Structure of Wealth, Innovation and Crime across Cities," PLOS ONE, Public Library of Science, vol. 5(11), pages 1-9, November.
    17. Crowe, Philip R. & Foley, Karen & Collier, Marcus J., 2016. "Operationalizing urban resilience through a framework for adaptive co-management and design: Five experiments in urban planning practice and policy," Environmental Science & Policy, Elsevier, vol. 62(C), pages 112-119.
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    1. Ming Lu & Zhuolin Tan & Chao Yuan & Yu Dong & Wei Dong, 2023. "Resilience Measurements and Dynamics of Resource-Based Cities in Heilongjiang Province, China," Land, MDPI, vol. 12(2), pages 1-22, January.

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