Multi-objective intermodal transportation planning with real-life application
Maritime Policy and Management, vol.52, no.5, pp.745-763, 2025 (SSCI, Scopus)
- Publication Type: Article / Article
- Volume: 52 Issue: 5
- Publication Date: 2025
- Doi Number: 10.1080/03088839.2024.2407381
- Journal Name: Maritime Policy and Management
- Journal Indexes: Social Sciences Citation Index (SSCI), Scopus, Academic Search Premier, Aerospace Database, Aquatic Science & Fisheries Abstracts (ASFA), Business Source Elite, Business Source Premier, Communication Abstracts, EconLit, Environment Index, Geobase, Metadex, PAIS International, Pollution Abstracts, Public Affairs Index, DIALNET, Civil Engineering Abstracts
- Page Numbers: pp.745-763
- Keywords: Intermodal route selection, fuzzy goal programming, compromise programming, carbon emissions
- Dokuz Eylül University Affiliated: Yes
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.