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This article analyzes an intermodal transportation network for international container cargoes in Korea. The actual transportation situation in Korea is formulated by a linear programming model. The model is validated first by comparing the model output with actual performance, and then the model is extended by incorporating various externalities arising from inland transport modes such as air pollution, congestion, accidents, noise pollution, and wear and tear. Moreover, the model is extended for assessing the effects of complying with carbon taxation and emission trading schemes, which loom large in international shipping communities. Test results of the models using the data obtained from reliable sources are presented and policy directions are discussed from an environmental perspective. [ABSTRACT FROM AUTHOR]

This paper considers a multimodal transportation problem, which is the problem of determining the transportation flow, i.e. volume of container cargoes, and the transportation mode in each trade route, for the objective of minimizing the sum of shipping and inland transportation costs. The problem takes account of two restrictions: maximum cargo volumes capacitated at each seaport and maximum number of vehicles available at each transportation mode. To solve optimally the problem, this paper employs a mixed integer programming, which is an operations research technique. A case study is performed on the container cargo data in Korea and we draw several implications to improve efficiency in the transportation of international trade cargoes in Korea. [ABSTRACT FROM AUTHOR]