Intermodal route selection for cargo transportation from Korea to Central Asia by adopting Fuzzy Delphi and Fuzzy ELECTRE I methods

Abstract

ABSTRACTDue to the increase in trade from Korea to Central Asia, an efficient intermodal route for transporting cargo is important. Intermodal routing for long-distance transportation faces operational challenges, such as customs clearance, track gauge differences, and climate limitations. The initiative of the Silk Road Economic Belt recently proposed in China could improve trade and transport links in Asia and create an efficient transportation route that focuses on the railroad service provided in China. The objective of this study is to obtain an evaluation structure for intermodal routing and then find the route for transporting cargo from Korea to Central Asia under China’s Silk Road Economic Belt with integrated Fuzzy Delphi and Fuzzy (Elimination Et Choice Translating Reality (ELECTRE) I methods. After a sensitivity analysis is performed, development strategies and alternative routes are suggested. The results show that among the five principal factors, total cost is the most important factor for logistics companies when they select a transportation route, followed by reliability, transportation capability, total time, and security. Of the sub-factor weights, transportation costs and cooperation and emphasis among state organization are important. In the intermodal route results, route 3, Incheon to Qingdao to Horgos to Almaty, is preferred.