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Collaborative planning for intermodal transport with eco-label preferences

Journal Article (2022)
Authors

Yimeng Zhang (TU Delft - Transport Engineering and Logistics)

Arne Heinold (Christian-Albrechts-Universität zu Kiel)

Frank Meisel (Christian-Albrechts-Universität zu Kiel)

R. R. Negenborn (TU Delft - Transport Engineering and Logistics)

B. Atasoy (TU Delft - Transport Engineering and Logistics)

Research Group
Transport Engineering and Logistics
Copyright
© 2022 Y. Zhang, Arne Heinold, Frank Meisel, R.R. Negenborn, B. Atasoy
To reference this document use:
https://doi.org/10.1016/j.trd.2022.103470
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Publication Year
2022
Language
English
Copyright
© 2022 Y. Zhang, Arne Heinold, Frank Meisel, R.R. Negenborn, B. Atasoy
Related content
Research Group
Transport Engineering and Logistics
Volume number
112
DOI:
https://doi.org/10.1016/j.trd.2022.103470
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Abstract

Sustainability is a common concern in intermodal transport. Collaboration among carriers may help in reducing emissions. In this context, this work establishes a collaborative planning model for intermodal transport and uses eco-labels (a series of different levels of emission ranges) to reflect shippers’ sustainability preferences. A mathematical model and an Adaptive Large Neighborhood Search heuristic are proposed for intermodal transport planning of carriers and fuzzy set theory is used to model the preferences towards eco-labels. For multiple carriers, centralized, auction-based collaborative, and non-collaborative planning approaches are proposed and compared. Real data from barge, train and truck carriers in the European Rhine-Alpine corridor is used for extensive experiments where both unimodal carrier collaboration and intermodal carrier collaboration are analyzed. Compared with non-collaborative planning without eco-labels, the number of served requests increases and emissions decrease significantly in the collaborative planning with eco-labels as transport capacity is better utilized.