International Journal of Logistics Research and Applications · 2020 · 26 citations · 32 references
ManagementGeographyTransportation PlanningTransportTransportationTransportation PolicyHub LocationTransport SystemsTransportation ModelsTransportation NetworksTransportation ProblemsTransportation SystemsCentralityCentrality MeasuresHierarchical Spatial ModelsInteger Linear ProgrammingMixed-integer Linear ProgrammingMixed-integer OptimizationNode CentralitySpatial Aggregation
Freight trains between Europe and China (China Railway Express) are a central component of the Belt and Road Initiative. In recent years, the service has experienced significant growth, however operational problems still remain. Seeking a solution, this paper used a hierarchical spatial aggregation process based on EU transportation policy to identify 87 origin nodes. Distance-based weighted centrality measures and a TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) model ranked node centrality in European rail, road, and waterway networks. The 10 highest-ranking nodes served as candidate hubs for the mixed-integer linear programme, which considered time-definite, multimodal transportation and penalised partially vacant trains. Berlin, Budapest, Duisburg and Lille were chosen as optimal hub locations.
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