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A framework for modeling interdependencies among households, businesses, and infrastructure systems; and their response to disruptions

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  • Mateusz Iwo Dubaniowski
  • Hans R. Heinimann

Abstract

Urban systems, composed of households, businesses, and infrastructures, are continuously evolving and expanding. This has several implications because the impacts of disruptions, and the complexity and interdependence of systems, are rapidly increasing. Hence, we face a challenge in how to improve our understanding about the interdependencies among those entities, as well as their responses to disruptions. The aims of this study were to (1) create an agent that mimics the metabolism of a business or household that obtains supplies from and provides output to infrastructure systems; (2) implement a network of agents that exchange resources, as coordinated with a price mechanism; and (3) test the responses of this prototype model to disruptions. Our investigation resulted in the development of a business/household agent and a dynamically self-organizing mechanism of network coordination under disruption based on costs for production and transportation. Simulation experiments confirmed the feasibility of this new model for analyzing responses to disruptions. Among the nine disruption scenarios considered, in line with our expectations, the one combining the failures of infrastructure links and production processes had the most negative impact. We also identified areas for future research that focus on network topologies, mechanisms for resource allocation, and disruption generation.

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  • 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.
    • Handle: RePEc:arx:papers:2006.05678
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    1. 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).
    2. Sharma, Neetesh & Gardoni, Paolo, 2022. "Mathematical modeling of interdependent infrastructure: An object-oriented approach for generalized network-system analysis," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    3. Ma, Xiangyu & Zhou, Huijie & Li, Zhiyi, 2021. "On the resilience of modern power systems: A complex network perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    4. Valaei Sharif, Shahab & Habibi Moshfegh, Peyman & Kashani, Hamed, 2023. "Simulation modeling of operation and coordination of agencies involved in post-disaster response and recovery," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    5. Mateusz Iwo Dubaniowski & Hans Rudolf Heinimann, 2021. "Time Granularity Impact on Propagation of Disruptions in a System-of-Systems Simulation of Infrastructure and Business Networks," IJERPH, MDPI, vol. 18(8), pages 1-24, April.
    6. Munikoti, Sai & Lai, Kexing & Natarajan, Balasubramaniam, 2021. "Robustness assessment of Hetero-functional graph theory based model of interdependent urban utility networks," Reliability Engineering and System Safety, Elsevier, vol. 212(C).

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