Prioritization of Post-Disaster Reconstruction of Transportation Network Using an Integrated AHP and Genetic Algorithm

摘要

Post-disaster reconstruction of infrastructures represents a complex and multi-objective problem. A large number of subjective and objective factors from various aspects, such as social, economic, political, and technical must be addressed for a successful recovery process of the transportation network. In addition, decision-makers need to deal with limited federal, state, and local resources in planning sequential and organized reconstruction-which is the ultimate goal of the post-disaster recovery process. In recent years, several studies have developed disaster recovery planning and execution models to improve post-disaster recovery processes of transportation infrastructure. These studies mainly focused on a specific part of the recovery process and rarely considered a comprehensive set of objectives in their investigations. This paper presents a new post-disaster recovery prioritization approach that evaluates the optimal recovery priorities of damaged transportation infrastructure and affected regions through a resource allocation analysis. Analytical hierarchy process (AHP) method integrated with non-dominated sorting genetic algorithm (NSGA-Ⅱ) approach has been deployed to explicitly incorporate the multi-faceted factors for optimizing the various goals of the post-disaster recovery of the transportation network. This new methodology allows decision-makers to incorporate their own or other experts' preferences while maintaining the goals of the process in the optimal zone. The model indicates a promising result that can be used as a comprehensive decision-making process to create an efficient workable plan for recovery of damaged transportation facilities and assign their resources according to the socioeconomic factors of affected communities.