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dc.contributor.authorMunim, Ziaul Haque
dc.contributor.authorDuru, Okan
dc.contributor.authorNg, Adolf K. Y.
dc.date.accessioned2023-02-16T10:01:26Z
dc.date.available2023-02-16T10:01:26Z
dc.date.created2022-01-31T16:51:06Z
dc.date.issued2021
dc.identifier.citationMunim, Z. H., Duru, O. & Ng, A. K. Y. (2022). Transhipment port's competitiveness forecasting using analytic network process modelling. Transport Policy, 124, 70-82.en_US
dc.identifier.issn0967-070X
dc.identifier.urihttps://hdl.handle.net/11250/3051406
dc.description.abstractThis study proposes a novel approach to forecast a transhipment port's competitiveness on the basis of market share. The potential reasons for escalating or diminishing competitiveness are explored by utilising a multi-criteria decision-making (MCDM) methodology. We assess the competitiveness of transhipment ports by seven major components: connectivity, port facility, efficiency, cost factor, policy and management, information systems and green port management, and contribute to the understanding of the interdependence among the components. We investigate the Bangladesh container market due to the uniqueness of its regional context and dimensions of competitiveness. Bangladesh has direct connections to four regional hubs, namely, Singapore, Colombo, Port Klang and Tanjung Pelepas. These regional hubs compete to grasp a significant volume of container movements in line with the rapid growth of Bangladesh's industrialisation and national economy. We find that Singapore outperforms others in terms of competitiveness, but all ports perform below expectations in green port management practices. These findings would benefit port authorities for improving their competitiveness, and liner shipping companies and shippers in making strategic port choice decisions.en_US
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleTranshipment port's competitiveness forecasting using analytic network process modellingen_US
dc.title.alternativeTranshipment ports’ competitiveness forecasting using an analytic network process model.en_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2021 The Author(s).en_US
dc.source.pagenumber70-82en_US
dc.source.volume124en_US
dc.source.journalTransport Policyen_US
dc.identifier.doihttps://doi.org/10.1016/j.tranpol.2021.07.015
dc.identifier.cristin1995357
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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