Multi-objective intermodal transportation planning with real-life application

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. S...

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Bibliographic Details
Published in:Maritime policy and management Vol. 52; no. 5; pp. 745 - 763
Main Authors: Topaloglu Yildiz, Seyda, Doymuş, Mehmet
Format: Journal Article
Language:English
Published: Routledge 04.07.2025
Subjects:
carbon emissions
compromise programming
fuzzy goal programming
Intermodal route selection
ISSN:0308-8839, 1464-5254
Online Access:Get full text
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Summary: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.
ISSN:0308-8839
1464-5254
DOI:10.1080/03088839.2024.2407381