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Computational models of community resilience

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Abstract

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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Acknowledgements

The first author extends her sincere appreciation to the Lyman T. Johnson Fellowship given by the Department of Civil Engineering at the University of Kentucky.

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Authors and Affiliations

  1. Department of Civil Engineering, University of Kentucky, 161 Raymond Building, Lexington, KY, 40506, USA

    Amanda Melendez

  2. Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA, 16802, USA

    David Caballero-Russi

  3. School of Engineering Design, Technology, and Professional Programs, The Pennsylvania State University, University Park, PA, 16802, USA

    Mariantonieta Gutierrez Soto

  4. Department of Electrical and Electronic Engineering, University of los Andes, Bogota, Colombia

    Luis Felipe Giraldo

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  1. Amanda Melendez
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  4. Luis Felipe Giraldo
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Correspondence to Mariantonieta Gutierrez Soto.

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Appendix

Appendix

Keywords used in the Scopus and ASCE database

“Community resilience.”

“Engineering Resilience.”

“Resilience Guide.”

“Natural hazards resilience guide.”

“Game theory” and “natural disasters.”

“Game theory” and “natural hazards.”

“Game theory” and “physical infrastructure.”

“Physical infrastructure” and “resilience.”

“Social engineering.”

“Multiagent modeling” and “resilience.”

“Agent-based modeling” and “natural hazard.”

“Agent-based modeling” and “natural disaster.”

“Agent-based modeling” and “man-made hazard.”

“Flood” and “resilience.”

“Agent-based modeling” and "Flood.”

“Mitigation.”

“Assessment.”

“Framework.”

“Dynamical bayesian networks” and “resilience.”

“hidden markov models” and “resilience.”

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Melendez, A., Caballero-Russi, D., Gutierrez Soto, M. et al. Computational models of community resilience. Nat Hazards 111, 1121–1152 (2022). https://doi.org/10.1007/s11069-021-05118-5

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  • DOI: https://doi.org/10.1007/s11069-021-05118-5

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