Skip to main content

Resilience analysis of maritime transportation systems based on importance measures

Dui, Hongyan, Zheng, Xiaoqian, Wu, Shaomin (2021) Resilience analysis of maritime transportation systems based on importance measures. Reliability Engineering & System Safety, 209 . Article Number 107461. ISSN 0951-8320. (doi:10.1016/j.ress.2021.107461) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:85619)

PDF Author's Accepted Manuscript
Language: English

Restricted to Repository staff only until 23 January 2023.

Contact us about this Publication
[thumbnail of Resilience analysis of marine transportation system.pdf]
Official URL
https://dx.doi.org/10.1016/j.ress.2021.107461

Abstract

In maritime transportation system (MTS), ports and ocean routes are essential for establishing and maintaining effective international trade routes. However, the ability of the ports to send and receive goods can be easily destroyed by political and natural interferences. This will cause a significant negative socio-economic impact such as port operation suspension and route disruption. Effectively implementing resilience management in MTS can therefore improve its ability to handle interruptions and minimizing losses. Based on the post-disaster analysis, this paper proposes a new method to optimize the residual resilience management of ports and routes in MTS and proposes an optimal resilience model. The residual resilience is then applied to some importance measures. The Copeland method is used to comprehensively rank the importance of ports and routes. The restoration priority of interrupted ports and routes of different importance measures for the purpose of minimizing residual resilience is also studied. Sea routes consisting of 23 cities are used to demonstrate the applicability of the proposed method.

Item Type: Article
DOI/Identification number: 10.1016/j.ress.2021.107461
Uncontrolled keywords: Reliability; resilience; importance measure; maritime transportation system
Subjects: H Social Sciences > HA Statistics > HA33 Management Science
Divisions: Divisions > Kent Business School - Division > Kent Business School (do not use)
Depositing User: Shaomin Wu
Date Deposited: 22 Jan 2021 17:41 UTC
Last Modified: 26 Apr 2021 11:16 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/85619 (The current URI for this page, for reference purposes)
Wu, Shaomin: https://orcid.org/0000-0001-9786-3213
  • Depositors only (login required):

Downloads

Downloads per month over past year