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A multi-criteria decision method for the analysis of the Motorways of the Sea: the application to the case of France and Spain on the Atlantic Coast
Authors:Alba Martínez-López  Alicia Munín-Doce  Lorena García-Alonso
Institution:1. Department of Naval Engineering, University of A Coru?a, Edificio de Talleres, (Campus de Esteiro), C/Mendizábal, 15403 Ferrol, A Coru?a, Spainamartinezl@udc.es;3. The Integrated Group for Engineering Research, University of A Coru?a, Edificio de Talleres, (Campus de Esteiro), C/Mendizábal, 15403 Ferrol, A Coru?a, Spain;4. Department of Applied Economic, University of Oviedo, Av. Del Cristo, 33006 Oviedo, Spain
Abstract:Despite European Union (EU) political support to identify the most feasible Motorways of the Sea, the final decision can only be made by Private Shipping Companies, which are operators of a unique stretch of the intermodal chain. This paper provides a multi-criteria decision method to identify the most suitable Motorways of the Sea taking into account the competitiveness of whole intermodal routes versus the alternative of road transport from the loader’s perspective. The analysis is carried out assuming a ‘many-to-many’ transport model. Firstly indexes of time and cost were defined and evaluated for every available route in the model in accordance with a multi-criteria decision matrix. Secondly, through a Monte Carlo simulation a sensitivity analysis was carried out in order to evaluate the influence on the results of the forecast assumed to construct the matrix. The results obtained are not only quantitative, but also qualitative. The development of intermodal routes via Motorways of the Sea is especially relevant for the peripheral EU countries. Due to the relevance of the freight flow between France and Spain and the congestion of their connections through the Pyrenees, the method proposed was applied to the analysis of this particular case
Keywords:Motorways of the Sea  selection of maritime routes  Monte Carlo simulation  sensitivity analysis  multi-criteria decision method
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