Allocating collaborative costs in multimodal barge networks for freight bundling |
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Affiliation: | 1. Universiteit Hasselt, Agoralaan - building D, 3590 Diepenbeek, Belgium;2. Research Foundation Flanders (FWO), Egmontstraat 5, 1000 Brussels, Belgium;3. Vrije Universiteit Brussel, Research Group MOBI, Pleinlaan 2, 1050 Brussels, Belgium;1. Aalto University, Department of Built Environment, P.O. Box 15800, 00076 Aalto, Finland;2. University of Iceland, Faculty of Civil and Environmental Engineering, Hjardarhagi 2-6, 107 Reykjavík, Iceland;1. Graduate School for International Development and Cooperation, Hiroshima University, 1-5-1, Kagamiyama, Higashi-Hiroshima 739-8529, Japan;2. Centre for Urban Science and Engineering, Indian Institute of Technology Bombay, Powai, Mumbai 400 076, India;1. Grup d''Estudis en Mobilitat, Transport i Territori (GEMOTT), Departament de Geografia, Universitat Autònoma de Barcelona – Edifici B, Campus de Bellaterra, Cerdanyola del Vallès 08193, Barcelona, Spain;2. Institut de Ciència i Tecnologia Ambientals (ICTA), Universitat Autònoma de Barcelona – Edifici ICTA-ICP, Campus de Bellaterra, Cerdanyola del Vallès 08193, Barcelona, Spain |
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Abstract: | In order to improve the competitive position and efficiency level of multimodal transport, consolidation of freight flows is often suggested. Bundling networks require cooperation between multiple partners in the multimodal transport chain. In this context, the question rises how benefits may be allocated fairly among the spatially distributed participants in the cooperation. A great deal of scientific literature reports on the behavior of allocation methods in collaborations between shippers or carriers making use of unimodal road transport. However, research on cost or savings allocation methods in multimodal transport is scarce. The main contribution of this paper is thus to provide a first insight in the complexity of sharing cost savings fairly among shippers who bundle freight flows in order to reach economies of scale in multimodal barge transport. By applying four different allocation methods to two realistic case studies, a comparison is made between simple and straightforward allocation mechanisms and more advanced techniques based on cooperative game theory. Special attention is paid to the savings division among coalition partners and collaborative stability. Results demonstrate the influence of cooperation characteristics on allocation outcomes and underline the value of carefully selecting appropriate allocation mechanisms when long-term stability of the multimodal barge collaboration is aspired. |
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