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Framework for modeling interdependencies between households, businesses, and infrastructure system, and their response to disruptions—application

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  • Dubaniowski, Mateusz Iwo
  • Heinimann, Hans Rudolf

Abstract

Understanding the impact of disruptions to infrastructure systems, households, and businesses is critical to assess resilience of urban systems. However, modeling these complex interdependent systems and applying these models to real-world areas and disruption scenarios is challenging.

Suggested Citation

  • Dubaniowski, Mateusz Iwo & Heinimann, Hans Rudolf, 2021. "Framework for modeling interdependencies between households, businesses, and infrastructure system, and their response to disruptions—application," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    • Handle: RePEc:eee:reensy:v:212:y:2021:i:c:s095183202100137x
    DOI: 10.1016/j.ress.2021.107590
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    References listed on IDEAS

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    9. Dubaniowski, Mateusz Iwo & Heinimann, Hans Rudolf, 2020. "A framework for modeling interdependencies among households, businesses, and infrastructure systems; and their response to disruptions," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    10. J. Park & T. P. Seager & P. S. C. Rao & M. Convertino & I. Linkov, 2013. "Integrating Risk and Resilience Approaches to Catastrophe Management in Engineering Systems," Risk Analysis, John Wiley & Sons, vol. 33(3), pages 356-367, March.
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    13. Mateusz Iwo Dubaniowski & Hans R. Heinimann, 2020. "A framework for modeling interdependencies among households, businesses, and infrastructure systems; and their response to disruptions," Papers 2006.05678, arXiv.org.
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    Cited by:

    1. Ilalokhoin, Ohis & Pant, Raghav & Hall, Jim W., 2023. "A model and methodology for resilience assessment of interdependent rail networks – Case study of Great Britain's rail network," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    2. Watson, Bryan C & Morris, Zack B & Weissburg, Marc & Bras, Bert, 2023. "System of system design-for-resilience heuristics derived from forestry case study variants," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    3. Lu, Qing-Chang & Xu, Peng-Cheng & Zhao, Xiangmo & Zhang, Lei & Li, Xiaoling & Cui, Xin, 2022. "Measuring network interdependency between dependent networks: A supply-demand-based approach," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    4. Blagojević, Nikola & Didier, Max & Stojadinović, Božidar, 2022. "Quantifying component importance for disaster resilience of communities with interdependent civil infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 228(C).

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