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Assessing multiple hazard resilience in infrastructure systems is crucial. This study introduces a novel approach integrating hazard interactions, system interdependence, and restoration strategies for better spatiotemporal resilience evaluation.

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Area of Science:

  • Engineering
  • Risk Analysis
  • Network Theory

Background:

  • Regions face multiple natural and technological hazards, necessitating robust infrastructure resilience.
  • Existing models often focus on single hazards, overlooking complex interactions and interdependencies.

Purpose of the Study:

  • To develop a quantitative approach for assessing the spatiotemporal resilience of interdependent infrastructure systems under multiple hazards.
  • To analyze the direct and indirect impacts of multiple hazards on infrastructure networks.
  • To propose a joint restoration model for infrastructure systems.

Main Methods:

  • Defined multiple hazard resilience with a quantitative probabilistic metric.
  • Developed a multiple hazard relationship analysis model and a relationship matrix.
  • Proposed a method for evaluating direct and indirect impacts on interdependent infrastructures.
  • Utilized network theory and numerical analysis for system evaluation.

Main Results:

  • Temporal and spatial relationships of multiple hazards significantly influence system resilience.
  • Infrastructure interdependence amplifies the negative impact on resilience.
  • The developed approach integrates hazard interactions, network interdependence, and restoration strategies.

Conclusions:

  • The proposed methodology offers a comprehensive framework for evaluating multiple hazard resilience in complex infrastructure systems.
  • Understanding hazard interactions and system interdependence is key to enhancing infrastructure robustness.
  • The study provides a valuable tool for improving disaster preparedness and response planning.