A Coupled Linear Programming Model with Geospatial Dynamic Trip Assignment for Global-scale Intermodal Transportation

A geospatial origin-destination model that utilizes the basis of operations research optimization techniques to estimate possible multimodal routes that may or may not be geospatially connected is presented in this article. The dynamic traffic assignment (DTA) for the freight flow considers several factors such as congestion, volume/capacity (V/C) ratio, throughput and distance-based impedance. The geographic information systems (GIS) platform provides a visualization environment for all possible routes. The model is designed to determine and optimize large-scale container flows from United States (US) trade partners to inland markets that are mainly located within the lower 48 states. Visual analysis with geographical distribution maps indicate that maritime containers are concentrated on the West Coast where rail shipments are concentrated along rail transshipment points such as Chicago, Memphis and Dallas. The highway transportation densities are mainly located with origins from marine ports to associated market destinations that start from hinterland and radiate further away other inland intermodal terminals that serve major landlocked metropolitan cities that are not served by railway networks. The critical finding presented in this article indicate that some routes may actually offer better alternatives when considering global supply chains even though these route are not considered to be prime routes.

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  • English

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  • Accession Number: 01519295
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Mar 6 2014 2:39PM