Optimal restoration schedules of transportation network considering resilience

• Published in: Structure and infrastructure engineering Vol. 17; no. 8; pp. 1141 - 1154
• Main Authors: Liu, Kezhi, Zhai, Changhai, Dong, You
• Format: Journal Article
• Language: English
• Published: Taylor & Francis 06.07.2021
• Subjects: Decision making; disaster engineering; optimisation models; post-disaster; resilience; restoration scheduling; transportation network
• ISSN: 1573-2479; 1744-8980; 1744-8980
• DOI: 10.1080/15732479.2020.1801764

Transportation network is of vital importance for city maintaining and reconstruction especially after extreme events. Decisions on the restoration plan of transportation network have to be made in a short period after event, but taking into account various decision-making criteria and resource constraints. This paper explains the essential problems in network restoration scheduling, and presents a novel resilience-based optimisation model for post-disaster urban transportation network restoration. The proposed method could obtain a set of general optimal restoration schedules in an efficient manner, so that decision-makers could make a final choice by weighting other preferences and experience. In the methodology, a new travel speed-based metric is introduced for performance assessment of transportation network, and three normalised independent indicators are developed to characterise network resilience from the perspective of functionality curve. Furthermore, a bi-objective optimisation model based on the recovery trajectory is recommended to search for non-dominated optimal restoration schedules. To illustrate the proposed method, heuristic algorithms are used to solve the restoration schedule optimisation problem of a hypothetical transportation network.