IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v57y2019i19p6162-6180.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2019.1620363
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00207543.2019.1620363?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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.
    9. 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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tprsxx:v:57:y:2019:i:19:p:6162-6180. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.