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Analytically comparing disaster resilience across multiple dimensions

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  • Zobel, Christopher W.
  • Baghersad, Milad

Abstract

It is important to compare the resilience of complex human systems to different types of disasters, in order to assess their inherent vulnerabilities and take appropriate actions to strengthen them. Resilient behavior can be complicated and multi-dimensional, however, and one must be able to characterize the different ways in which that resilience actually exhibits itself in practice. With this in mind, this paper discusses creating a multi-dimensional indicator for the resilience of a complex human system, and it explores an approach for visualizing and analyzing the relationships between each of the individual resilience dimensions. Because decision makers may differ on the relative contribution of the different dimensions to overall resilience, the paper further discusses the issue of weighting the different dimension values and the impacts that such a weighting scheme can have on the relative ranking of different scenarios. We illustrate the ability to characterize the complexity of multi-dimensional resilience by analyzing an empirical data set that measures the relative resilience of the New York metropolitan area to seven different natural disasters between 2010 and 2012.

Suggested Citation

  • Zobel, Christopher W. & Baghersad, Milad, 2020. "Analytically comparing disaster resilience across multiple dimensions," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    • Handle: RePEc:eee:soceps:v:69:y:2020:i:c:s0038012118301277
    DOI: 10.1016/j.seps.2018.12.005
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    Cited by:

    1. Peng Wang & Yabo Li & Yuhu Zhang, 2021. "An urban system perspective on urban flood resilience using SEM: evidence from Nanjing city, China," 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. 109(3), pages 2575-2599, December.
    2. Yong Xiang & Yonghua Chen & Yangyang Su & Zeyou Chen & Junna Meng, 2023. "Research on the Evaluation and Spatial–Temporal Evolution of Safe and Resilient Cities Based on Catastrophe Theory—A Case Study of Ten Regions in Western China," Sustainability, MDPI, vol. 15(12), pages 1-50, June.
    3. Marin, Giovanni & Modica, Marco & Paleari, Susanna & Zoboli, Roberto, 2021. "Assessing disaster risk by integrating natural and socio-economic dimensions: A decision-support tool," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    4. Sara Rye & Emel Aktas, 2023. "A Rule-Based Predictive Model for Estimating Human Impact Data in Natural Onset Disasters—The Case of a PRED Model," Logistics, MDPI, vol. 7(2), pages 1-24, May.
    5. Rezaei Soufi, Hojat & Esfahanipour, Akbar & Akbarpour Shirazi, Mohsen, 2022. "A quantitative approach for analysis of macroeconomic resilience due to socio-economic shocks," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).

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