Computational models of community resilience

Protecting civil infrastructure from natural and man-made hazards is vital. Understanding the impact of these hazards helps allocate resources efficiently. Researchers have recently proposed static and dynamic computational models for community resilience analyses to evaluate a community’s ability to recover after a disruptive event. Yet, these frameworks still need to adequately address community interdependencies and consider the impact of decision-making in modeling. This paper presents a state-of-the-art review of computational methods to model community resilience, focusing on the last 10 years. It addresses critical terminology, community interdependencies, and current resilience guides within community resilience comprehension and discusses static and dynamic computational models, including probabilistic modeling in uncertain environments, rating models for community resilience assessment, optimization-based modeling for resilient community design, game theory, agent-based, and probabilistic dynamical modeling. This paper presents key findings of promising research for future directions in the community resilience field.

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Work Title Computational models of community resilience
Access
Open Access
Creators
  1. Amanda Melendez
  2. David Caballero-Russi
  3. Mariantonieta Gutierrez Soto
  4. Luis Felipe Giraldo
Keyword
  1. Community resilience
  2. Game theory
  3. Agent-based modeling
  4. Computational models
  5. Interdependencies
License In Copyright (Rights Reserved)
Work Type Article
Publisher
  1. Natural Hazards
Publication Date November 27, 2021
Publisher Identifier (DOI)
  1. https://doi.org/10.1007/s11069-021-05118-5
Deposited August 04, 2022

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Version 1
published

  • Created
  • Added Manuscript.pdf
  • Added Creator Amanda Melendez
  • Added Creator David Caballero-Russi
  • Added Creator Mariantonieta Gutierrez Soto
  • Added Creator Luis Felipe Giraldo
  • Published
  • Updated Keyword, Publication Date Show Changes
    Keyword
    • Community resilience, Game theory, Agent-based modeling, Computational models, Interdependencies
    Publication Date
    • 2021-01-01
    • 2021-11-27
  • Updated