Empirical Analysis of Multiple-Criteria Decision-Making (Mcdm) Process for Freight Transportation Mode Selection
- 1 College of Transport and Communication, Shanghai Maritime University (Lingang Campus), Shanghai, China
- 2 College of Transport and Communication, Shanghai Maritime University (Lingang Campus), Shanghai, China
- 3 College of Transport and Communication, Shanghai Maritime University (Lingang Campus), Shanghai, China
Abstract
I n Ghana, freight transport is growing continuously every year due to its location and business processes. However, road transport carries 86% of frei ght despite its numerous negative impacts. Hence, the government has invested in rail transport, with 70% of its capacity is for freight transport in her busy freight transport corridor (eastern transport regions of Ghana). Thus, awareness of criteria considered when deciding on freight transport becomes vital. Hence, this study aims to improve the understanding of the fa ctors of freight transport mode selection in Ghana from the decision- making process by identifying criteria that affect their decisions on mode transportation. The combination of Fuzzy AHP and Topsis is used to find the weights and suggest suitable alternatives for the decision-makers in the Eastern transport regions of Ghana. The result of this study shows that the criteria to consider when selecting freight transport mode in the regions are prioritized in other of Transport cost (0.6544), transport Time factors (0.2562), reliability, and flexibility (0.0605), and security, Risk of damage and lose factors (0.0287). Additionally, the suitable mode(s) of transportation in the stated corridor is owned truck carrier transport compared to the railroad, road-barge, and Contracted Carrier, thus, in descending order. The results provide organizations to prioritize these factors when deciding to select freight transport mode. At the same time, the government must remove some inputs that result in high transport cost s , enforce policies, and invest in the appropriate mode.
- Zhang, X. and Roe, M. (2019) Maritime Container Port Security: USA and European Perspectives. https://doi.org/10.1007/978-3-030-03825-0
- OBG (2020) Ghanaian Government Targets Improving the Country’s Transport Network amid Rising Demand. Ghana 2018. Oxford Business Group. https://oxfordbusinessgroup.com/overview/vehicles-growth-government-invests-infrastructure-amid-rising-demand
- van Dyck, G.K. and Ismael, H.M. (2015) Multi-Criteria Evaluation of Port Competitiveness in West Africa Using Analytic Hierarchy Process (AHP). American Journal of Industrial and Business Management, 5, 432-446. https://doi.org/10.4236/ajibm.2015.56043
- Augustin, D.S. (2017) An Empirical Study on Transit Traffic via West African Corridors Case Study of Lomé-Ouagadougou.
- Thompson, E.A. (2019) Optimal Warehouse Location Selection for Kasapreko Company Limited Using Analytical Network Process.
- Kim, H.C., Nicholson, A. and Kusumastuti, D. (2017) Analysing Freight Shippers’ Mode Choice Preference Heterogeneity Using Latent Class Modelling. Transportation Research Procedia, 25, 1109-1125. https://doi.org/10.1016/j.trpro.2017.05.123
- McKinnon, A. (1989) Physical Distribution Systems. Alan McKinnon. https://www.alanmckinnon.co.uk/story_layout.html?IDX=631&b=20
- Gilmour, P. (1976) Some Policy Implications of Subjective Factors in the Modal Choice for Freight Movements. Logistics and Transportation Review, 12, 39-57.
- McGinnis, M.A. (1979) Shipper Attitudes toward Freight Transportation Choice: A Factor Analytic Study. International Journal of Physical Distribution & Logistics Management, 10, 25-34. https://doi.org/10.1108/eb014464
- Bolis, S. and Maggi, R. (2003) Logistics Strategy and Transport Service Choices: An Adaptive Stated Preference Experiment. Growth Change, 34, 490-504. https://doi.org/10.1046/j.0017-4815.2003.00232.x
- Feo-Valero, M., García-Menéndez, L., Sáez-Carramolino, L. and Furió-Pruñonosa, S. (2011) The Importance of the Inland Leg of Containerised Maritime Shipments: An Analysis of Modal Choice Determinants in Spain. Transportation Research Part E: Logistics and Transportation Review, 47, 446-460. https://doi.org/10.1016/j.tre.2010.11.011
- Rich, J., Holmblad, P.M. and Hansen, C.O. (2009) A Weighted Logit Freight Mode-Choice Model. Transportation Research Part E, 45, 1006-1019. https://doi.org/10.1016/j.tre.2009.02.001