This paper explores the optimal route selection problem within an intermodal transportation network that comprises road, rail, sea, and inland waterways. Initially, we propose a multi-objective integer linear programming model that aims to minimize total cost, transport time, and carbon emissions. Subsequently, we apply two multi-objective programming approaches: Fuzzy Goal Programming and Compromise Programming. These approaches are implemented in a real-life case study, aiming to determine the optimal intermodal transportation route from Türkiye (Denizli) to Germany (Duisburg). Four out of the six methods suggest the same road and maritime pathway. Furthermore, this model has the potential to aid decision-makers in selecting routes based on customer requirements and serve as a valuable tool for policymakers in establishing an efficient intermodal transport network.


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    Titel :

    Multi-objective intermodal transportation planning with real-life application


    Weitere Titelangaben:

    S. TOPALOGLU YILDIZ AND M. DOYMUŞ
    MARITIME POLICY & MANAGEMENT


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    04.07.2025


    Format / Umfang :

    19 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch







    A Multi-Objective Optimization Model of the Intermodal Transportation Network

    Wu, L. / Wang, J. / Li, X. et al. | British Library Conference Proceedings | 2009


    U.S. Transportation Command and Intermodal Planning

    Starling, J. D. / National Research Board | British Library Conference Proceedings | 1993