Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/116352
DC FieldValueLanguage
dc.contributorDepartment of Logistics and Maritime Studies-
dc.creatorLi, C-
dc.creatorYang, X-
dc.creatorYang, D-
dc.date.accessioned2025-12-18T07:48:35Z-
dc.date.available2025-12-18T07:48:35Z-
dc.identifier.issn1361-9209-
dc.identifier.urihttp://hdl.handle.net/10397/116352-
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.subjectAIS dataen_US
dc.subjectEmpirical analysisen_US
dc.subjectIndustrial diversityen_US
dc.subjectPort vulnerabilityen_US
dc.subjectShipping network structureen_US
dc.titlePort vulnerability to natural disasters : an integrated view from hinterland to seasideen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume139-
dc.identifier.doi10.1016/j.trd.2024.104563-
dcterms.abstractThis study examines global container ports’ vulnerability to natural disasters by integrating perspectives from the hinterland, port interface, and seaside network, which is crucial but has been absent from existing literature. A port vulnerability index is first constructed utilizing daily shipping traffic data at 735 container ports worldwide and coordinates data of 1,768 natural disasters between 2015 and 2019. Subsequent causality analyses reveal that port vulnerability is inversely related to port infrastructure development, hinterland industrial diversity, and port connectivity in the global shipping network. Additionally, the heterogeneity tests show that the influence of these determinants on port vulnerability varies by regional economic levels and disaster types. We address the endogeneity problem arising from reverse causality between industrial diversity and port vulnerability, and between port connectivity and port vulnerability respectively. These findings provide novel insights and approaches for policymakers and port authorities, further enhancing global trade and economic resilience. The heterogeneous test results, in particular, offer guidance on prioritizing policies when resources are limited.-
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationTransportation research. Part D, Transport and environment, Feb. 2025, v. 139, 104563-
dcterms.isPartOfTransportation research. Part D, Transport and environment-
dcterms.issued2025-02-
dc.identifier.scopus2-s2.0-85211977920-
dc.identifier.eissn1879-2340-
dc.identifier.artn104563-
dc.description.validate202512 bcjz-
dc.description.oaNot applicableen_US
dc.identifier.SubFormIDG000510/2025-12en_US
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe work described in this paper was supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. PolyU15201722) and National Natural Science Foundation of China (Project No. 72304184, 42471215).en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2027-02-28en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2027-02-28
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