A Proposed Restoration Strategy for Road Networks After an Earthquake Disaster Using Resilience Engineering

Abstract

Resilience is the capability to promptly recover from damage caused by a disturbance. In recent years, “resilience engineering” has been drawing attention as a new concept in the disaster prevention and crisis management field. Resilience engineering is a method for improving resilience through actions and responses on a case-by-case basis. It is based around social and technological systems, and includes both individuals and organizations. When a system encounters an unprecedented situation, this method involves avoiding the worst-case scenario based on “responding ability,” “monitoring ability,” “anticipating ability,” and “learning ability.” This paper introduces an application case for early recovery planning related to road networks damaged by an earthquake using the resilience engineering method. It also discusses the utility of the resilience engineering method and its future deployment for increasing disaster resilience.

Resilience of Critical Infrastructures: Review and Analysis of Current Approaches

“…The communication and visualization of model results on maps complete decision‐aid tools intended for different users (infrastructure managers, political decisionmakers, etc.) (Fekete, Tzavella, & Baumhauer, ; Shiraki, Takahashi, Inomo, & Isouchi, ; Vinchon et al., ). Decision‐aid systems based on GIS (geographical information systems) to manage spatial aspects appear essential.…”

A process-driven and need-oriented framework for review of technological contributions to disaster management

“…However, the interpretation of visuals was made manually. In the same year, Shiraki et al [131] proposed a resilience engineering approach for road network recovery after an earthquake. Mathematical heuristics and analytical rule formation approaches were used in the proposed framework for effective reinstatement of the road network.…”

Optimization-based decision-making models for disaster recovery and reconstruction planning of transportation networks

“…Providing (ideally) low-cost high-impact solutions and accelerating recovery ratio as well as establishing rapid access to critical assets highlight the vital role of optimized planning for post-disaster recovery operations. The literature of DRPTN devotes to developing decision-making models in which road's components have to be prioritized for reconstruction such that it optimizes predefined objectives (e.g., Orabi et al 2009;Lertworawanich 2012;Kaviani et al 2018;Shiraki et al 2017). As a tool, optimization modeling is embedded in decision support systems that formulates and solves problems involving (often) multiple conflicting objectives (e.g., Zhu et al 2019;Xu et al 2019;Xing 2017).…”