Transhipment port's competitiveness forecasting using analytic network process modelling

Ziaul Haque Munim, Okan Duru and Adolf K.Y. Ng

Transport Policy, 2022, vol. 124, issue C, 70-82

Abstract: This 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.

Keywords: Port competitiveness; Port choice; Green port; Forecasting; Analytic network process (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1016/j.tranpol.2021.07.015

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