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Multi-objective intermodal transportation planning with real-life application

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  • Seyda Topaloglu Yildiz
  • Mehmet Doymuş

Abstract

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.

Suggested Citation

  • Seyda Topaloglu Yildiz & Mehmet Doymuş, 2025. "Multi-objective intermodal transportation planning with real-life application," Maritime Policy & Management, Taylor & Francis Journals, vol. 52(5), pages 745-763, July.
    • Handle: RePEc:taf:marpmg:v:52:y:2025:i:5:p:745-763
    DOI: 10.1080/03088839.2024.2407381
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