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Comprehensive Resilience Assessment of Complex Urban Public Spaces: A Perspective of Promoting Sustainability

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  • Hui Xu

    (School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
    Chongqing Innovation Center of Industrial Big-Data Co., Ltd., National Engineering Laboratory for Industrial Big-Data Application Technology, Chongqing 400707, China)

  • Shuxiu Li

    (School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing 400065, China)

  • Yongtao Tan

    (School of Engineering, RMIT University, Melbourne, VIC 3001, Australia)

  • Bin Xing

    (Chongqing Innovation Center of Industrial Big-Data Co., Ltd., National Engineering Laboratory for Industrial Big-Data Application Technology, Chongqing 400707, China)

Abstract

Complex urban systems, such as multi-floor rail transit stations and integrated railway transport hubs, are termed “complex urban public spaces” (CUPSs). These CUPSs facilitate people’s lives, but, at the same time, are threatened by various risks due to their multi-floor structure, dense crowds, high correlation in multi-function, complex facilities, and space openness. The risk events of CUPSs could have a negative influence on public safety and further influence sustainable development. Increasing the resilience of CUPSs is an effective way to respond to risks and guarantee public safety. Therefore, it is necessary to first assess the resilience of CUPSs. In this paper, a six-level comprehensive resilience indicator system was established based on aspects of the essence of resilience. Used in combination with the methods of resilience impact score and fuzzy analytical hierarchy process, the resilience value could be calculated. The Shenzhen North Railway Station (SZ) and the Guangzhou South Railway Station (GZ) were used to validate the proposed methodology. The established resilience indicator system was shown to be comprehensive and innovative, and, regarding practicality, the proposed assessment methodology is convenient to use. This research can help policymakers to assess the resilience of CUPSs and develop relevant policies to improve the resilience of buildings, which can further enhance urban sustainability.

Suggested Citation

  • Hui Xu & Shuxiu Li & Yongtao Tan & Bin Xing, 2022. "Comprehensive Resilience Assessment of Complex Urban Public Spaces: A Perspective of Promoting Sustainability," Land, MDPI, vol. 11(6), pages 1-23, June.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:6:p:842-:d:831525
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    References listed on IDEAS

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    1. Ouyang, Min & Wang, Zhenghua, 2015. "Resilience assessment of interdependent infrastructure systems: With a focus on joint restoration modeling and analysis," Reliability Engineering and System Safety, Elsevier, vol. 141(C), pages 74-82.
    2. Christopher G. Burton, 2015. "A Validation of Metrics for Community Resilience to Natural Hazards and Disasters Using the Recovery from Hurricane Katrina as a Case Study," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 105(1), pages 67-86, January.
    3. Liudan Jiao & Dongrong Li & Yu Zhang & Yinghan Zhu & Xiaosen Huo & Ya Wu, 2021. "Identification of the Key Influencing Factors of Urban Rail Transit Station Resilience against Disasters Caused by Rainstorms," Land, MDPI, vol. 10(12), pages 1-21, November.
    4. Geng, Sunyue & Liu, Sifeng & Fang, Zhigeng, 2022. "A demand-based framework for resilience assessment of multistate networks under disruptions," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    5. 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.
    6. Jie Yang & Jiafu Su & Lijun Song, 2019. "Selection of Manufacturing Enterprise Innovation Design Project Based on Consumer’s Green Preferences," Sustainability, MDPI, vol. 11(5), pages 1-16, March.
    7. Patriarca, Riccardo & De Paolis, Alessandro & Costantino, Francesco & Di Gravio, Giulio, 2021. "Simulation model for simple yet robust resilience assessment metrics for engineered systems," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    8. Xinghua Feng & Chunliang Xiu & Jianxin Li & Yexi Zhong, 2021. "Measuring the Evolution of Urban Resilience Based on the Exposure–Connectedness–Potential (ECP) Approach: A Case Study of Shenyang City, China," Land, MDPI, vol. 10(12), pages 1-22, November.
    9. Saud Alshehri & Yacine Rezgui & Haijiang Li, 2015. "Disaster community resilience assessment method: a consensus-based Delphi and AHP approach," 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. 78(1), pages 395-416, August.
    10. Jui-Sheng Chou & Jia-Huei Wu, 2014. "Success factors of enhanced disaster resilience in urban community," 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. 74(2), pages 661-686, November.
    11. Marta Bottero & Giulia Datola & Elena De Angelis, 2020. "A System Dynamics Model and Analytic Network Process: An Integrated Approach to Investigate Urban Resilience," Land, MDPI, vol. 9(8), pages 1-26, July.
    12. Huang, Chun-Nen & Liou, James J.H. & Lo, Huai-Wei & Chang, Fu-Jung, 2021. "Building an assessment model for measuring airport resilience," Journal of Air Transport Management, Elsevier, vol. 95(C).
    13. Ramadhani, Adhitya & Khan, Faisal & Colbourne, Bruce & Ahmed, Salim & Taleb-Berrouane, Mohammed, 2022. "Resilience assessment of offshore structures subjected to ice load considering complex dependencies," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
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