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Optimising the resilience of shipping networks to climate vulnerability

Poo, MCP and Yang, Z (2022) Optimising the resilience of shipping networks to climate vulnerability. Maritime Policy and Management. pp. 1-20. ISSN 0308-8839

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Climate extremes are threatening transportation infrastructures and hence require new methods to address their vulnerability and improve their resilience. However, existing studies have yet to examine the climate impacts on transportation networks systematically rather than independently assessing the infrastructures at a component level. Therefore, it is crucial to configure alternative shipping routes from a systematic perspective to reduce climate vulnerabilities and optimise the resilience of the whole shipping network. This paper aims to assess the global shipping network focusing on climate resilience by a methodology that combines climate risk indicators, centrality analysis and ship routing optimisation. The methodology is designed for overviewing the climate vulnerability of the current and future scenarios for comparison. First, a multi-centrality assessment defines the global shipping hubs and network vulnerabilities. Secondly, a shipping model is built for finding the optimal shipping route between ports, considering the port disruption days caused by climate change (e.g. extreme weather) based on the climate vulnerability analysis result from the first step. It contributes to a new framework combining the global and local seaport climate vulnerabilities. Furthermore, it recommends changing shipping routes by a foreseeable increase in port disruptions caused by extreme weather for climate adaptation.

Item Type: Article
Uncontrolled Keywords: Logistics & Transportation; 14 Economics; 15 Commerce, Management, Tourism and Services; 16 Studies in Human Society
Subjects: H Social Sciences > HE Transportation and Communications
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Engineering
Publisher: Informa UK Limited
SWORD Depositor: A Symplectic
Date Deposited: 21 Sep 2022 09:42
Last Modified: 26 Sep 2022 12:01
DOI or ID number: 10.1080/03088839.2022.2094488
URI: https://researchonline.ljmu.ac.uk/id/eprint/17627
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