Evaluating the connectivity reliability of the seaborne transportation network using uncertainty theory

The shipping network serves as the backbone of international trade. However, due to unstable geopolitical conditions, unexpected events have occurred frequently in recent years that have impacted the global shipping supply chain, and this has placed enormous pressure and had adverse effects on seabo...

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Detalhes bibliográficos
Autores: Liu, Tianshou, Bian, Haiyang, Feng, Lin, Fan, Chengguang, Ding, Chaojun, Grifoll Colls, Manel|||0000-0003-4260-6732, Feng, Hongxiang
Tipo de documento: artigo
Data de publicação:2024
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositório:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglês
OAI Identifier:oai:upcommons.upc.edu:2117/421555
Acesso em linha:https://hdl.handle.net/2117/421555
https://dx.doi.org/10.51400/2709-6998.2749
Access Level:Acceso aberto
Palavra-chave:Shipping
Seaborne transportation
Shipping network
Uncertainty theory
Connectivity reliability
Optimal reliable path selection
Transport
Àrees temàtiques de la UPC::Nàutica::Navegació marítima::Transport marítim
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spelling Evaluating the connectivity reliability of the seaborne transportation network using uncertainty theoryLiu, TianshouBian, HaiyangFeng, LinFan, ChengguangDing, ChaojunGrifoll Colls, Manel|||0000-0003-4260-6732Feng, HongxiangShippingSeaborne transportationShipping networkUncertainty theoryConnectivity reliabilityOptimal reliable path selectionTransportÀrees temàtiques de la UPC::Nàutica::Navegació marítima::Transport marítimThe shipping network serves as the backbone of international trade. However, due to unstable geopolitical conditions, unexpected events have occurred frequently in recent years that have impacted the global shipping supply chain, and this has placed enormous pressure and had adverse effects on seaborne transportation. To measure the reliability of the global shipping network under unexpected events, we abstract the global shipping network into a small world network using uncertainty theory. A method is proposed for selecting (i) the optimal reliable path and (ii) the optimal reliable path with a maximum measurement under different confidence intervals. Our approach is then applied to evaluate the connectivity reliability of China’s bulk commodity shipping network, which includes 46 key strait and canal nodes. The results show that the reliability of China’s bulk commodity shipping network is 0.8, and the optimal seaborne transportation path is given with different confidence intervals after an unexpected event occurs. Our findings provide managerial insights for selecting the optimal transportation path after an emergency. The results also suggest that the import and export of goods from relevant regions should be reduced, or the routes in these regions should be optimised, to minimise losses and guarantee national strategic security.20242024-01-0120252025-01-09journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/421555https://dx.doi.org/10.51400/2709-6998.2749reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/4215552026-05-27T15:37:01Z
dc.title.none.fl_str_mv Evaluating the connectivity reliability of the seaborne transportation network using uncertainty theory
title Evaluating the connectivity reliability of the seaborne transportation network using uncertainty theory
spellingShingle Evaluating the connectivity reliability of the seaborne transportation network using uncertainty theory
Liu, Tianshou
Shipping
Seaborne transportation
Shipping network
Uncertainty theory
Connectivity reliability
Optimal reliable path selection
Transport
Àrees temàtiques de la UPC::Nàutica::Navegació marítima::Transport marítim
title_short Evaluating the connectivity reliability of the seaborne transportation network using uncertainty theory
title_full Evaluating the connectivity reliability of the seaborne transportation network using uncertainty theory
title_fullStr Evaluating the connectivity reliability of the seaborne transportation network using uncertainty theory
title_full_unstemmed Evaluating the connectivity reliability of the seaborne transportation network using uncertainty theory
title_sort Evaluating the connectivity reliability of the seaborne transportation network using uncertainty theory
dc.creator.none.fl_str_mv Liu, Tianshou
Bian, Haiyang
Feng, Lin
Fan, Chengguang
Ding, Chaojun
Grifoll Colls, Manel|||0000-0003-4260-6732
Feng, Hongxiang
author Liu, Tianshou
author_facet Liu, Tianshou
Bian, Haiyang
Feng, Lin
Fan, Chengguang
Ding, Chaojun
Grifoll Colls, Manel|||0000-0003-4260-6732
Feng, Hongxiang
author_role author
author2 Bian, Haiyang
Feng, Lin
Fan, Chengguang
Ding, Chaojun
Grifoll Colls, Manel|||0000-0003-4260-6732
Feng, Hongxiang
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Shipping
Seaborne transportation
Shipping network
Uncertainty theory
Connectivity reliability
Optimal reliable path selection
Transport
Àrees temàtiques de la UPC::Nàutica::Navegació marítima::Transport marítim
topic Shipping
Seaborne transportation
Shipping network
Uncertainty theory
Connectivity reliability
Optimal reliable path selection
Transport
Àrees temàtiques de la UPC::Nàutica::Navegació marítima::Transport marítim
description The shipping network serves as the backbone of international trade. However, due to unstable geopolitical conditions, unexpected events have occurred frequently in recent years that have impacted the global shipping supply chain, and this has placed enormous pressure and had adverse effects on seaborne transportation. To measure the reliability of the global shipping network under unexpected events, we abstract the global shipping network into a small world network using uncertainty theory. A method is proposed for selecting (i) the optimal reliable path and (ii) the optimal reliable path with a maximum measurement under different confidence intervals. Our approach is then applied to evaluate the connectivity reliability of China’s bulk commodity shipping network, which includes 46 key strait and canal nodes. The results show that the reliability of China’s bulk commodity shipping network is 0.8, and the optimal seaborne transportation path is given with different confidence intervals after an unexpected event occurs. Our findings provide managerial insights for selecting the optimal transportation path after an emergency. The results also suggest that the import and export of goods from relevant regions should be reduced, or the routes in these regions should be optimised, to minimise losses and guarantee national strategic security.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-01-01
2025
2025-01-09
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/421555
https://dx.doi.org/10.51400/2709-6998.2749
url https://hdl.handle.net/2117/421555
https://dx.doi.org/10.51400/2709-6998.2749
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.812429

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