Modeling Framework of Hybrid Method for Site Selection of Dry Port: A Case Study in Southern Region of Thailand

Main Article Content

Kraisee Komchornrit
Waressara Weerawat


International trade is considered as one of the most important areas to drive the economy of Thailand. With goods moved and stored on a regular basis, the nation’s logistics cost per GDP is quite high on account of relying mainly on the road mode, where freight transport is heavily linked to fuel price. The solution to reduce costs may be by using intermodal transport, where a dry port is regarded as a crucial part. The southern region is selected as a case study because of particular reasons of the peninsula (particularly, seaports along both coasts) and the possible rise of cross-border and global trade with Malaysia and other territories. In this study, the modeling framework for site selection of a dry port, including the systematic SEM-MACBETH-PROMETHEE approach is proposed. Different sample sizes were compared as a sensitivity analysis. Results show that Hatyai railway station is the most attractive location as a dry port in southern Thailand.

Article Details

How to Cite
Komchornrit, K., & Weerawat, W. (2020). Modeling Framework of Hybrid Method for Site Selection of Dry Port: A Case Study in Southern Region of Thailand. Applied Science and Engineering Progress, 13(3), 233–245. Retrieved from
Research Articles


[1] Trading Economics. (2016, Apr.). Thailand Exports. Trading Economics [Online]. Available: exports

[2] National Economic and Social Development Board, Thailand’s Logistics Report 2014, Thailand: NESDB, 2014.

[3] S. C. Digest. (2013, May). Supply Chain Graphic of the Week: Logistics Costs as Percent of GDP by Country. Supply Chain Digest. Springboro, US [Online]. Available: assets/newsviews/13-06-20-2.php?cid=7168

[4] Office of Transport and Traffic Policy and Planning, “Structure of cost transport and logistis system,” Office of Transport and Traffic Policy and Planning, Thailand, 2009.

[5] E. Dadvar, S. R. S. Ganji, and M. Tanzifi, “Feasibility of establishment of “Dry Ports” in the developing countries—the case of Iran,” Journal of Transportation Security, vol. 4, pp. 19–33, 2010.

[6] J. Jeevan, S.-l. Chen, and E.-s. Lee, “The challenges of Malaysian dry ports development,” The Asian Journal of Shipping and Logistics, vol. 31, pp. 109–134, 2015.

[7] D. M. Z. Islam, J. Fabian Meier, P. T. Aditjandra, T. H. Zunder, and G. Pace, “Logistics and supply chain management,” Research in Transportation Economics, vol. 41, pp. 3–16, 2013.

[8] D. Lowe, Intermodal Freight Transport. Oxford, UK: Elsevier, 2005.

[9] UN, “Terminology on combined transport,” United Nations, Geneva, Switzerland 2001.

[10] S. Hanaoka and M. B. Regmi, “Promoting intermodal freight transport through the development of dry ports in Asia: An environmental perspective,” IATSS Research, vol. 35, pp. 16–23, 2011.

[11] J. Woxenius, V. Roso, and K. Lumsden, “The dry port concept - connecting seaports with their hinterland by rail,” in Proceedings of the First International Conference on Logistics Strategy for Ports, 2004, pp. 305–319.

[12] J.-P. Rodrigue, J. Debrie, A. Fremont, and E. Gouvernal, “Functions and actors of inland Figure C1: Input data for PROMETHEE. ports: European and North American dynamics,” Journal of Transport Geography, vol. 18, pp. 519–529, 2010.

[13] A. K. Y. Ng, F. Padilha, and A. A. Pallis, “Institutions, bureaucratic and logistical roles of dry ports: The Brazilian experiences,” Journal of Transport Geography, vol. 27, pp. 46–55, 2013.

[14] J.-P. Rodrigue and T. Notteboom, “Dry ports in European and North American intermodal rail systems: Two of a kind?,” Research in Transportation Business & Management, vol. 5, pp. 4–15, 2012.

[15] D. Jato-Espino, E. Castillo-Lopez, J. Rodriguez- Hernandez, and J. C. Canteras-Jordana, “A review of application of multi-criteria decision making methods in construction,” Automation in Construction, vol. 45, pp. 151–162, 2014.

[16] A. Ishizaka and P. Nemery, Multi-Criteria Decision Analysis: Methods and Software. New Jersey: John Wiley & Sons, Ltd, 2013.

[17] H. Voogd, Multicriteria Evaluation for Urban and Regional Planning. London, UK: Pion, 1983.

[18] T. Özcan, N. Çelebi, and Ş. Esnaf, “Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem,” Expert Systems with Applications, vol. 38, pp. 9773–9779, 2011.

[19] A. Ishizaka, P. Nemery, and K. Lidouh, “Location selection for the construction of a casino in the Greater London region: A triple multi-criteria approach,” Tourism Management, vol. 34, pp. 211– 220, 2013.

[20] J. Sayareh and H. R. Alizmini, “A hybrid decision-making model for selecting container seaport in the Persian Gulf,” The Asian Journal of Shipping and Logistics, vol. 30, pp. 75–95, 2014.

[21] B. F. Yildirim and E. Önder, “Evaluating potential freight villages in istanbul using multi criteria decision making techniques,” Journal of Logistics Management, vol. 3, pp. 1–10, 2014.

[22] K. Komchornrit, “The selection of dry port location by a Hybrid CFA-MACBETH-PROMETHEE method: A case study of Southern Thailand,” The Asian Journal of Shipping and Logistics, vol. 33, pp. 141–153, 2017.
[23] S. Onut, U. R. Tuzkaya, and E. Torun, “Selecting container port via a fuzzy ANP-based approach: A case study in the Marmara region, Turkey,” Transport Policy, vol. 18, pp. 182–193, 2011.

[24] A. Awasthi, S. S. Chauhan, and S. K. Goyal, “A multi-criteria decision making approach for location planning for urban distribution centers under uncertainty,” Mathematical and Computer Modelling, vol. 53, pp. 98–109, 2011.

[25] G. Kabir and R. S. Sumi, “Power substation location selection using fuzzy analytic hierarchy process and PROMETHEE: A case study from Bangladesh,” Energy, vol. 72, pp. 717–730, 2014.

[26] N. Roig-Tierno, A. Baviera-Puig, J. Buitrago-Vera, and F. Mas-Verdu, “The retail site location decision process using GIS and the analytical hierarchy process,” Applied Geography, vol. 40, pp. 191– 198, 2013.

[27] J. P. Brans, P. Vincke, and B. Mareschal, “How to select and how to rank projects: The PROMETHEE method,” European Journal of Operational Research, vol. 24, pp. 228–238, 1986.

[28] N. Munier, A Strategy for Using Multicriteria Analysis in Decision-Making. Berlin, Germany: Springer, 2011.

[29] M. Velasquez and P. T. Hester, “An analysis of multi-criteria decision making methods,” International Journal of Operations Research, vol. 10, pp. 56–66, 2013.

[30] C. A. Bana e Costa and M. P. Chagas, “A career choice problem: An example of how to use MACBETH to build a quantitative value model based on qualitative value judgments,” European Journal of Operational Research, vol. 153, pp. 323–331, 2004.

[31] D. Foreign Trade, Statistics for Border Trade of Thailand, 2013–2015. Bangkok, Thailand: D. Foreign Trade, 2016.

[32] National Economic and Social Development Board, The Eleventh National Economic and Social Development Plan. Bangkok, Thailand: NESDB, 2012.

[33] J.-P. Rodrigue and T. Notteboom, “Dry ports and the maritime hinterland: Gaining momentum,” Port Technology International, London, UK, 2011

[34] F. Faul, E. Erdfelder, A. G. Lang, and A. Buchner, “G*Power 3: A flexible statistical power analysis program for the social, behavioral and biomedical sciences,” Behavioral Research Methods, vol. 39, pp. 175–191, 2007.

[35] J. Cohen, Statistical Power Analysis for the Behavioral Sciences. 2 ed., London, UK: Routledge, 1988.

[36] J. F. Hair, W. C. Black, B. J. Babin, and R. E. Anderson, Multivariate Data Analysis. 7 ed., New Jersey: Prentice Hall, 2009.

[37] L. d. S. Portugal, A. V. Morgado, and O. L. Júnior, “Location of cargo terminals in metropolitan areas of developing countries: The Brazilian case,” Journal of Transport Geography, vol. 19, pp. 900–910, 2011.

[38] B. M. Byrne, Structural Equation Modeling with AMOS: Basic Concepts, Applications, and Programming. New Jersey: Lawrence Erlbaum Associates, 2001.

[39] P. Karande and S. Chakraborty, “Using MACBETH method for supplier selection in manufacturing environment,” International Journal of Industrial Engineering Computations, vol. 4, pp. 259–272, 2013.