Identification and Ranking of Factors Affecting Iranian Bulk Importers’ Selection of Destination Port


Volume 5, Issue 2, Number 6, Pages 81-93, Published Online Mar 20, 2017

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Prof. Abolfazl Shahabadi and Sanaz Rahmani


ports could be among the gates of trade and economic development which have played an increasing role in Iran′s economy. The study objectives are to recognize those factors that affect the selection of the best destination bulk port and to determine the significance of those factors so as to prioritize the bulk ports. In other words, the present survey introduces a multi-criteria decision-making model for identification and prioritization of criteria affecting Iranian bulk importers′ selection of a port as the destination port. The methodology is made up of two distinct sections. The first section is concerned with the identification of factors affecting the selection of port and ranking them. Ranking of studied ports is detailed in the second section. In order to complete first and second steps of the methodology, DEMATLE method and analytic hierarchy process are used to complete the methodology.


Bulk Ports, Port Selection, Importers, DEMATLE, Analytic Hierarchy Process


Button, K., A. Chin, & T. Kramberger (2015): ‘Incorporating subjective elements into liners’ seaport choice assessments’, Transport Policy, 44, 125-133.
Castillo-manzano, J. I., C. N. Mercedes, F. Gonzalez Laxe, L. Lopez-Valpuesta, & M. T. Arevalo- Quijada (2009): ‘Low-cost port competitiveness index: Implementation in the Spanish port system’, Marine Policy, Vol. 33, pp. 591-598.
Chang, Y., S. Lee, & J. Tongzon (2008): ‘Port selection factors by shipping lines: Different perspectives between Trunk liners and feeders service providers’, Marine Policy, Vol. 32, pp. 877-885.
Chou, C. C., C. W. Chu, & G. S. Liang (2003): ‘Comparison of two models for port choice’, Journal of Maritime Quarterly, 12(3), 45-61.
Coyle, G. (2004): ‘The analytic hierarchy process (AHP)’, Principal Strategy. Open Access Material. (1980): 1–11.
Gandhi, S., S. K. Mangla, P. Kumar, & D. Kumar (2015): ‘Evaluating factors in implementation of successful green supply chain management using DEMATEL: A case study’, International Strategic Management Review, 3(1), 96-109.
Ha, M. S. (2003): ‘A comparison of service quality at major container ports: implications for Korean ports’, Journal of Transport Geography, Vol. 11, pp. 131-137.
Jafari, H. & H. Yousefi (2015): ‘Prioritizing Major Iranian Sothern ports infrastructure attributes using grey relational analysis model’, Journal of Oceanography, 6(21), 59-69.

Kiani Moghadam, M., M. Jafarzadeh Kenari, & A. Bakhshi Zadeh (2013): ‘Relative efficiency appraisal of Iranian ports using data envelopment analysis (DEA) technique’, Journal of Oceanography, 4(13), 73-83.
Kim, D. J. (2012): ‘A comparison of efficiency with productivity criteria for European container ports’, Asian Journal of Shipping and Logistics, 28(2), 183-202.
Lee, S.Y., Y.T. Chang, & P.T.W. Lee (2007): ‘Determinants of port selection heterogeneity among major market players’, International Conference on Logistics, Shipping and Port Management, pp. 1-13.
Lin, K. M., & C. W. Lin (2008): ‘Cognition map of experiential marketing strategy for hot spring hotels in Taiwan using the DEMATEL method’, In Natural Computation, 2008. ICNC’08. Fourth International Conference on (Vol. 1, pp. 438-442).
Grosso, M., & F. Monteiro (2008): ‘Relevant strategic criteria when choosing a container port- the case of the port of Genoa’, Association for European Transport and contributors, pp. 1-21.
Liu, L., & G. K. Park (2011): ‘Empirical analysis of influence factors to container throughput in Korea and China ports’, Asian Journal of Shipping and Logistics, 27(2), 279-304.
Malchow, M. B., & A. kanaf ani (2004): ‘A disaggregate analysis of port selection’, Transportation Research Part, Vol. 40, pp. 317-337.

Marinoni, O. (2007): Some words on the analysis hierarchy process and the provided ArcGIS extension, 1–9. Retrieved from
Merk, O., & T. T. Dang (2012): Efficiency of world ports in container and bulk cargo (oil, coal, ores and grain). Retrieved from

Rezaie Alizamini, H. (2011): Evaluating the port selection factors and a novel TOPSIS methodology to ranking the ports of Persian Gulf. Master’s thesis, University of Chabahar Maritime and Marine Science.
Saaty, T. L. (1988): Mathematical methods of operations research, Dover, New York.
Saaty, T. L., & M. Takizawa (1986): ‘Dependence and independence: From linear hierarchies to nonlinear networks’, European Journal of Operational Research, 26(2), 229–237.
Saeed, N. (2009): ‘an analysis of carriers’ selection criteria when choosing container terminals in Pakistan’, Maritime Economics and Logistics, 11(3), 270-288.
Sayareh, J., & H. Rezaee Alizmini (2014): ‘A hybrid decision-making model for selecting container seaport in the Persian Gulf’, The Asian Journal of Shipping and Logistics, 30(1), 75-95.
Talley, W. K. (2009): Port Economics, London, Routledge, New York.
Tongzon, J. L. (2009): ‘Port choice and freight forwarders’, Transportation Research Part E, Vol. 45, pp. 186-195.
Umang, N. (2014-a): Large scale robust optimization of bulk port operations.

Umang, N. (2014-b): From container terminals to bulk ports: models and algorithms for integrated planning and robust scheduling. (Doctoral dissertation, ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNE).
Walters, S. (2005): Port marketing.
Wu, Y. C. J., & M. Goh (2010): ‘Container port efficiency in emerging and more advanced markets’, Transportation Research Part E: Logistics and Transportation Review, 46(6), 1030–1042.
Yeo, G. T., M. Rose, & J. Dinwoodie (2008): ‘Evaluating the competitiveness of container ports in Korea and China’, Transportation Research Part A, Vol. 42, pp. 910-921.
Yeo, H. J. (2010): ‘Competitiveness of Asian container terminals’, Asian Journal of Shipping and Logistics, 26(2), 225–246. (10)80003-3













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