Prioritizing transportation network recovery using a resilience measure

Liu, YuanChi, McNeil, Sue, Hackl, Jürgen ORCID: 0000-0002-8849-5751 and Adey, Bryan T (2022) Prioritizing transportation network recovery using a resilience measure. Sustainable and Resilient Infrastructure, 7 (1). pp. 1-12.

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Abstract

How and when transportation networks are restored following a natural hazard event plays a key role in post-event recovery. However, determining the optimal repair strategies considering user costs requires intensive computational effort impeding the application in practice. This paper uses a modified network robustness index (MNRI), a measure of resilience, to minimize total costs including the repair cost and the travel cost during the recovery. For each link, the repair program is selected from multiple options using incremental benefit cost analysis. The efficiency and effectiveness of the method is tested for a realistic damaged network in Chur, Switzerland. Three scenarios with different resources in terms of repair budgets and crew availability are investigated. The results demonstrate that the approximations obtained using the proposed method are close to the results using a near optimal heuristic algorithm, and reduce the computational effort and the time needed.

Item Type:	Article
Uncontrolled Keywords:	Cost Effectiveness Research
Divisions:	Faculty of Science and Engineering > School of Engineering
Depositing User:	Symplectic Admin
Date Deposited:	04 Feb 2022 08:09
Last Modified:	17 Mar 2024 07:23
DOI:	10.1080/23789689.2019.1708180
Related URLs:	Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3073600