Prioritization of Post-Disaster Reconstruction of Transportation Network Using an Integrated AHP and Genetic Algorithm
Document Type
Conference Proceeding
Publication Date
1-1-2020
Abstract
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.
Publication Source (Journal or Book title)
Construction Research Congress 2020: Project Management and Controls, Materials, and Contracts - Selected Papers from the Construction Research Congress 2020
First Page
464
Last Page
474
Recommended Citation
Ghannad, P., & Lee, Y. (2020). Prioritization of Post-Disaster Reconstruction of Transportation Network Using an Integrated AHP and Genetic Algorithm. Construction Research Congress 2020: Project Management and Controls, Materials, and Contracts - Selected Papers from the Construction Research Congress 2020, 464-474. Retrieved from https://repository.lsu.edu/construction_management_pubs/311