Sustainable hub location under uncertainty

This paper addresses the sustainable design of hub networks under uncertainty in the context of less-than-truckload transportation, taking into account factors related to carbon pricing. The problem is modeled to maximize profits in a stochastic demand environment, where a portion of the demand may remain unserved depending on the trade-off between profits, costs, and carbon emissions. The model explicitly incorporates a carbon tax into the objective function, along with transportation and hub operation costs. To ensure compliance with the carbon cap, a constraint is incorporated to limit the emissions across the entire transportation network. The carbon emission on each arc of the network is modeled using a generic convex function that depends on the total demand routed on the arc which is then approximated by a piecewise linear function to derive a mixed-integer stochastic formulation. A Benders-decomposition-based algorithm coupled with a sample average approximation scheme is developed to solve the stochastic model. The algorithm is enhanced with acceleration techniques to solve large-scale instances. Extensive computational experiments are conducted to evaluate the efficiency of the proposed algorithm and also to analyze the impact of incorporating carbon pricing factors on optimal hub networks. Computational results provide insights into sustainable hub network designs.

• Record URL:
  • https://doi.org/10.1016/j.trb.2024.103040
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0191261524001644
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/01912615
• Supplemental Notes:
  • © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Abstract reprinted with permission of Elsevier.
• Authors:
  • Taherkhani, Gita
  • 0000-0002-6280-1597
  • Hosseini, Mojtaba
  • Alumur, Sibel A
  • 0000-0003-1550-8053
• Publication Date: 2024-9

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 103040
• Serial:
  • Transportation Research Part B: Methodological
  • Volume: 187
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0191-2615
  • Serial URL: http://www.sciencedirect.com/science/journal/01912615

Subject/Index Terms

• TRT Terms: Carbon taxes; Greenhouse gases; Hubs; Location; Sustainable development; Trucking; Uncertainty
• Geographic Terms: United States
• Subject Areas: Environment; Finance; Freight Transportation; Terminals and Facilities;

Filing Info

• Accession Number: 01930549
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 16 2024 9:00AM