Toward Decentralized Decision-Making for Interdependent Infrastructure Network Resilience

Buket Cilali, Nafiseh Ghorbani-Renani, Kash Barker, Andrés D. González

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

4 Scopus citations

Abstract

Interdependence among infrastructure and community networks is an important aspect to consider when planning for disruptive events. Further, decision-makers within different infrastructures often make decentralized decisions to protect and restore their own networks after a disruption. As such, a resilience-based optimization model is extended in various ways to depict different decentralized decision-making structures and hierarchies: divided budget, isolation assumption, and dominance assumption. Among others, social vulnerability scores are used to show the effect of community resilience, and different scenarios are analyzed to reveal the effect of decentralization. The model is illustrated with a system of interdependent electric power, water, and gas infrastructure networks in Shelby County, TN.

Original languageEnglish
Title of host publicationSpringer Optimization and Its Applications
Pages67-92
Number of pages26
DOIs
StatePublished - 2021

Publication series

NameSpringer Optimization and Its Applications
Volume169
ISSN (Print)1931-6828
ISSN (Electronic)1931-6836

Keywords

  • Interdependent networks
  • Optimization
  • Resilience
  • Restoration

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