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Summary

This study introduces an optimization framework to enhance infrastructure resilience by integrating policy and technical decisions. It reveals how socioeconomic factors and regulations influence recovery strategies after disasters.

Keywords:
Infrastructure resilienceoptimizationsociotechnical systems

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Area of Science:

  • Civil Engineering
  • Environmental Science
  • Operations Research

Background:

  • Infrastructure risk management involves complex interdependencies between physical networks and societal contexts.
  • Current tools often separate operational (computational) and policy (economic) approaches to infrastructure resilience.
  • Integrating policy and technical decision-making is crucial for effective infrastructure management.

Purpose of the Study:

  • To propose an optimization-based framework for analyzing infrastructure resilience.
  • To incorporate organizational and socioeconomic factors into operational decision-making.
  • To understand the interplay between policy-level decisions (e.g., regulation) and technical-level actions (e.g., restoration).

Main Methods:

  • Utilizing an optimization-based framework for resilience analysis.
  • Employing parametric analyses to assess the impact of operational and socioeconomic factors.
  • Incorporating regulatory constraints to model policy enforcement and its consequences.
  • Conducting sensitivity analyses to evaluate the influence of predisaster decisions on recovery.

Main Results:

  • Restoration strategies differ significantly when driven by financial/operational versus socioeconomic/humanitarian factors.
  • Regulatory strength critically impacts recovery dynamics, with weaker institutions hindering effective societal well-being.
  • Predisaster decisions, such as resource allocation, substantially shape postdisaster response options.

Conclusions:

  • The proposed framework effectively integrates policy and technical levels for infrastructure resilience.
  • Understanding the influence of socioeconomic factors and regulations is key to optimizing recovery.
  • Predisaster planning is essential for enhancing postdisaster infrastructure resilience.