Regional resilience analysis: A multiscale approach to optimize the resilience of interdependent infrastructure

Abstract

Reducing hazard-induced disruptions to infrastructure functionality is cardinal to regional resilience. Specifically, effective strategies to enhance regional resilience require: (a) developing mathematical models for infrastructure recovery; (b) quantifying resilience associated with the developed recovery process; and (c) developing a computationally manageable approach for resilience optimization. This paper proposes a rigorous mathematical formulation to model recovery, quantify resilience, and optimize the resilience of large-scale infrastructure. Specifically, a multiscale model of the recovery process is proposed that significantly reduces the computational cost, while favoring practical and easily manageable recovery schedules. To quantify regional resilience, resilience metrics are proposed that capture the temporal and spatial variations of the recovery process. The paper then formulates a multiobjective optimization problem that aims to improve regional resilience in terms of the proposed metrics, while minimizing the recovery cost. Finally, the paper illustrates the proposed formulation by considering interdependent infrastructure in Shelby County, Tennessee, United States.

A decision‐making methodology for risk‐informed earthquake early warning

“…However, to maximize the potential of these technologies as effective risk-management tools, there also needs to be a focus on developing and incorporating next-generation decision-support tools. These tools use advanced engineering-based consequence predictions related to the corresponding hazards, so that stakeholders can be informed of appropriate risk mitigation actions to take when necessary (e.g., Bozza et al, 2017;Ouyang & Fang, 2017;Sharma et al, 2020;Tesfamariam et al, 2010;Zhou et al, 2018). Some work connected to this requirement has already been done in the literature.…”

A Hierarchical Resilience Enhancement Framework for Interdependent Critical Infrastructures

“…We point out that many resilience metrics exist in the literature [1,32,44]. Yet, the focus of the present study is to provide a comprehensive and quantitative scheme to assist the decision-makers when they design, upgrade or rebuild ICIs for improving system resilience, and different resilience metrics can be incorporated into the proposed framework.…”

“…These studies can be categorized under two main lines: i) pre-disruption investment optimization [23][24][25][26][27], aiming at enhancing CIs resilience via optimum preventive measures, e.g. hardening and upgrading vulnerable components or deploying redundancy before a specific disruptive event strikes the system, and ii) postevent emergency response and recovery planning [28][29][30][31][32][33], aiming at mitigating system loss through emergency responses right after disruptions and, then, restoring a system to normal operation as quickly and efficiently as possible, e.g., through optimum resource allocation and task scheduling. However, these approaches fall short of accounting for the coordination of resilience measures at different stages, and a framework is missing that provides a comprehensive and quantitative scheme to the decision-makers, when they design, upgrade or rebuild CIs for improving the system resilience.…”

Analysis of Macroscopic Traffic Network Impacted by Structural Damage to Bridges from Earthquakes

“…While structural damages from earthquakes have been investigated in various capacities, there has been a limited examination of the impact on traffic networks and the resilience of bridges after earthquakes [14][15][16][17][18][19][20][21][22][23][24][25][26][27]. Additionally, most impact analyses of traffic networks have been based on the simplified application of traffic capacity.…”