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Research Progress and Framework Construction of Urban Resilience Computational Simulation

Author

Listed:
  • Xuehua Han

    (Beijing Municipal Institute of City Planning & Design, Beijing 100045, China)

  • Liang Wang

    (Beijing Municipal Institute of City Planning & Design, Beijing 100045, China)

  • Dandan Xu

    (Beijing Municipal Institute of City Planning & Design, Beijing 100045, China
    School of Physical Science and Engineering, Beijing Jiaotong University, Beijing 100044, China)

  • He Wei

    (Beijing Municipal Institute of City Planning & Design, Beijing 100045, China)

  • Xinghua Zhang

    (School of Physical Science and Engineering, Beijing Jiaotong University, Beijing 100044, China)

  • Xiaodong Zhang

    (Beijing Municipal Institute of City Planning & Design, Beijing 100045, China)

Abstract

Simulating the dynamic process of urban resilience and analyzing the mechanism of resilience-influencing factors are of great significance to improve the intelligent decision-making ability of resilient urban planning. The purpose of this article is to implement a comprehensive literature review on the quantitative computation and simulation studies of urban resilience, investigating the characteristics of current research, including the most commonly applied methods, the most frequently space–time scales, the most popular research topics, and the most commonly involved risk types. Then, the study provides recommendations for future research: (1) research on multiple risk disturbance scenarios, (2) the computation of urban resilience from the public perspective, and (3) a computation-simulation framework with the goal of revealing the mechanism. Finally, this study constructs a resilience-computation simulation framework for resilient urban planning, which lays a foundation for the further development of urban-resilience dynamic-simulation computing and planning-scenario applications in the future.

Suggested Citation

  • Xuehua Han & Liang Wang & Dandan Xu & He Wei & Xinghua Zhang & Xiaodong Zhang, 2022. "Research Progress and Framework Construction of Urban Resilience Computational Simulation," Sustainability, MDPI, vol. 14(19), pages 1-15, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:11929-:d:921418
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    References listed on IDEAS

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