Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/19770
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dc.contributor.authorNguyen, TV-
dc.date.accessioned2019-12-06T13:16:43Z-
dc.date.available2019-12-06T13:16:43Z-
dc.date.issued2019-11-27-
dc.identifier.citationTransportation Research Part E: Logistics and Transportation Reviewen_US
dc.identifier.issn1366-5545en_US
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/19770-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectTransportationen_US
dc.subjectData miningen_US
dc.subjectLarge scale optimizationen_US
dc.subjectDry portsen_US
dc.subjectComplex network theoryen_US
dc.titleA data-driven optimization of large-scale dry port locations using the hybrid approach of data mining and complex network theoryen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.tre.2019.11.010en_US
dc.relation.isPartOfTransportation Research Part E: Logistics and Transportation Review-
pubs.publication-statusPublished-
Appears in Collections:Brunel Business School Research Papers

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