A Review on Response Strategies in Infrastructure Network Restoration

TL;DR

This review paper summarizes current response strategies for restoring infrastructure networks after disasters, emphasizing the importance of efficient, real-time decision-making amidst computational challenges and interrelated factors.

Contribution

It provides a comprehensive classification of quantitative response methodologies tailored to different infrastructure networks and highlights open research questions and future directions.

Findings

Reviewed resource allocation, scheduling, routing, and repair strategies.

Identified computational challenges in real-time decision making.

Highlighted gaps and future research directions in infrastructure restoration.

Abstract

This paper reviews the literature on response strategies for restoring infrastructure networks in the aftermath of a disaster. Our motivation for this review is twofold. First, the frequency and magnitude of natural and man-made disasters (e.g., wild fires, tornadoes, global pandemics, terrorist attacks) have been increasing. These events disrupt the operation of infrastructure networks, preventing the delivery of vital goods and services such as power and food. Therefore, it is critical to understand the state-of-the-art in responding to network disruptions in order to develop efficient strategies to mitigate their impacts. Second, it is critical to enable timely decisions in a rapidly changing and unpredictable environment while accounting for numerous interrelated factors. Because the vast majority of response decision problems are computationally challenging, quickly finding solutions that are compatible with real-time decision making is a difficult task. Hence, it is important to understand the nature of response activities and decisions, as well as the available solution methodologies and inherent trade-offs between computation time and solution quality. We review quantitative response methodologies developed for infrastructure network restoration, classifying relevant studies based on the properties of the underlying network. In particular, we focus on resource allocation, scheduling, routing and repair efforts within the domain of power, road, and water, oil and gas network restoration. We also discuss open research questions and future research directions.