Highlights An international trade transportation mode is proposed utilizing the short-ocean liner shipping as the end trip of the CR-Express trip. The markets of both Japan-Europe transportation and Japan-China transportation are considered. The commodities exported from Japan to Europe and China are clustered in terms of their values of time. The mode utility function and mode choice model are constructed by integrating the data of both SP and RP surveys. The feasibility of the new service is verified by clustering the goods exported from Japan to either Europe or China.

    Abstract Based on the export demand from Japan to the EU, we propose a sea-rail multimodal transportation corridor, with the China Railway Express (CR-Express) as the backbone. We conduct revealed preference (RP) and stated preference (SP) surveys of Japanese shippers and forwarders, and then integrate this data to build a utility function and route choice model of containers exported from Japan to Europe. We then construct a programming model to optimize a Japan-Europe, sea-rail transportation corridor in terms of ship size and sailing speed, operating frequency for Japan-China short-sea liner shipping and the needed CR-Express trains, with the objective of maximizing transportation profits from the multimodal system. Our model demonstrates that Japan’s high value exports to Europe prefer the multimodal route. In addition, three ships of 500 TEU each, with a sailing speed of 21 knots and departing 3 times per week, should be used for the short-sea liner leg of the route. We project the realized benefit at 2.0807 million USD/week (equivalent to 108.19 million USD annually). In the optimal case, 3 CR-Express trains with available capacity of 69 TEU containers will be necessary to connect the short-sea liner ships to the overland route.


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    Title :

    Optimization of a Japan-Europe multimodal transportation corridor


    Contributors:
    Chen, Dongxu (author) / Peng, Sufan (author) / Lian, Feng (author) / Yang, Zhongzhen (author)


    Publication date :

    2023-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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