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Hierarchical Multimodal Hub Location Problem with Carbon Emissions

Author

Listed:
  • Huifang Li

    (School of Automobile, Chang’an University, Xi’an 710064, China
    Zhejiang Scientific Research Institute of Transport, Hangzhou 310006, China)

  • Yin Wang

    (School of Transportation Engineering, Chang’an University, Xi’an 710064, China)

Abstract

The increasing demand for multimodal freight transportation makes the expansion of new secondary hubs necessary. The carbon tax has also received attention from various sectors due to the development requirements of green transportation. Therefore, this study proposed a multimodal transport hub location problem, where carbon emissions are specifically considered to achieve green strategic planning. A mixed integer non-linear programming model was formulated to determine the location of newly-built secondary hubs, the distribution of cargo flow and the modes of the transportation links. A tangible adaptive genetic algorithm (AGA) is designed to effectively search for the optimal solution. The result of the secondary hub location based on Ningbo Port shows that the additional secondary hub brought a 41.46% increase in cargo flow, a 2.2% saving in transportation time and a 2.35% saving in total cost. Furthermore, the sensitivity analysis of the carbon tax reveals that a higher carbon tax increases the transport time, and more secondary hubs are needed to reduce the average cargo transport volume and save the total cost.

Suggested Citation

  • Huifang Li & Yin Wang, 2023. "Hierarchical Multimodal Hub Location Problem with Carbon Emissions," Sustainability, MDPI, vol. 15(3), pages 1-23, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:1945-:d:1041637
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    References listed on IDEAS

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    Cited by:

    1. Yiqin Lu & Shuang Li, 2023. "Green Transportation Model in Logistics Considering the Carbon Emissions Costs Based on Improved Grey Wolf Algorithm," Sustainability, MDPI, vol. 15(14), pages 1-15, July.

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