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Green intermodal freight transportation: bi-objective modelling and analysis

Author

Listed:
  • Emrah Demir
  • Martin Hrušovský
  • Werner Jammernegg
  • Tom Van Woensel

Abstract

Efficient planning of freight transportation requires a comprehensive look at wide range of factors in the operation and management of any transportation mode to achieve safe, fast, and environmentally suitable movement of goods. In this regard, a combination of transportation modes offers flexible and environmentally friendly alternatives to transport high volumes of goods over long distances. In order to reflect the advantages of each transportation mode, it is the challenge to develop models and algorithms in Transport Management System software packages. This paper discusses the principles of green logistics required in designing such models and algorithms which truly represent multiple modes and their characteristics. Thus, this research provides a unique practical contribution to green logistics literature by advancing our understanding of the multi-objective planning in intermodal freight transportation. Analysis based on a case study from hinterland intermodal transportation in Europe is therefore intended to make contributions to the literature about the potential benefits from combining economic and environmental criteria in transportation planning. An insight derived from the experiments conducted shows that there is no need to greatly compromise on transportation costs in order to achieve a significant reduction in carbon-related emissions.

Suggested Citation

  • Emrah Demir & Martin Hrušovský & Werner Jammernegg & Tom Van Woensel, 2019. "Green intermodal freight transportation: bi-objective modelling and analysis," International Journal of Production Research, Taylor & Francis Journals, vol. 57(19), pages 6162-6180, October.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:19:p:6162-6180
    DOI: 10.1080/00207543.2019.1620363
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    Cited by:

    1. Brilka, Tim & Clausen, Uwe, 2021. "An approach to analyzing shippers' transportation management organization," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability. Proceedings of the Hamburg International Conf, volume 32, pages 259-288, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    2. Zhichao Ma & Jie Zhang & Huanhuan Wang & Shaochan Gao, 2023. "Optimization of Sustainable Bi-Objective Cold-Chain Logistics Route Considering Carbon Emissions and Customers’ Immediate Demands in China," Sustainability, MDPI, vol. 15(7), pages 1-23, March.
    3. Huifang Li & Yin Wang, 2023. "Hierarchical Multimodal Hub Location Problem with Carbon Emissions," Sustainability, MDPI, vol. 15(3), pages 1-23, January.
    4. Lehner, Roland, 2023. "Cross-Supply Chain Collaboration Platform for Pallet Management," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 138753, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    5. Xin Yao & Yuanyuan Cheng & Li Zhou & Malin Song, 2022. "Green efficiency performance analysis of the logistics industry in China: based on a kind of machine learning methods," Annals of Operations Research, Springer, vol. 308(1), pages 727-752, January.
    6. Chunjiao Shao & Haiyan Wang & Meng Yu, 2022. "Multi-Objective Optimization of Customer-Centered Intermodal Freight Routing Problem Based on the Combination of DRSA and NSGA-III," Sustainability, MDPI, vol. 14(5), pages 1-25, March.
    7. Tomasz Rokicki & Luiza Ochnio & Piotr Borawski & Aneta Beldycka-Borawska & Agata Zak, 2021. "Development of Intermodal Transport in the EU Countries," European Research Studies Journal, European Research Studies Journal, vol. 0(4B), pages 300-308.
    8. Qin Yu & Yun Xiao & Guangmin Wang & Di Cui, 2024. "Sustainable Development of the China Railway Express under the Belt and Road Initiative: Focusing on Infrastructure Reliability and Trade Facilitation," Sustainability, MDPI, vol. 16(18), pages 1-17, September.
    9. Daqing Wu & Jiyu Li & Jiye Cui & Dong Hu, 2023. "Research on the Time-Dependent Vehicle Routing Problem for Fresh Agricultural Products Based on Customer Value," Agriculture, MDPI, vol. 13(3), pages 1-23, March.
    10. Ebubekir Karabacak & Hüseyin Ali Kutlu, 2024. "Evaluating the Efficiencies of Logistics Centers with Fuzzy Logic: The Case of Turkey," Sustainability, MDPI, vol. 16(1), pages 1-25, January.

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