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A hybrid optimization approach for designing sustainable intermodal freight transport under mixed uncertainty

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  • Rahiminia, Shahab
  • Mehrabi, Amir
  • Jabbarzadeh, Armin
  • Aghaee, Mohsen Pourseyed

Abstract

Intermodal freight transport stands out as an innovative logistics solution for combating climate change. However, the intricacies of planning resilient and sustainable intermodal freight transport systems necessitate further investigation. Addressing this critical research gap, this paper introduces a pioneering hybrid optimization framework tailored for designing a robust rail-road intermodal network that prioritizes sustainability while navigating disruptions and operational uncertainties. This framework adopts a multi-period approach to model intricate intermodal operations, including mode-switching activities. It strategically determines optimal locations for intermodal terminals and makes tactical decisions regarding inventory management and transport planning. The goal is to enhance the sustainability performance of intermodal terminals while simultaneously minimizing the overall total cost and carbon emissions of the network. The sustainability assessment of intermodal terminals employs a variant of network data envelopment analysis, considering a range of conflicting measures. Furthermore, the proposed optimization approach integrates P-robust and possibilistic chance-constraint programming to effectively mitigate disruption risks and operational uncertainties inherent in intermodal networks. To validate the efficacy of the proposed approach, two datasets are utilized, including a real-world case study of rail-road intermodal freight transport. The numerical findings showcase the significant benefits of this approach, demonstrating a remarkable 24 % reduction in maximum regret with a negligible 1.4 % increase in expected cost, highlighting its potential for sustainable and resilient intermodal freight transport systems. This research provides valuable insights for freight transport companies to enhance resilience against disruptions and manage operational uncertainties, while also contributing to societal goals of sustainable development through reduced environmental impacts.

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  • Rahiminia, Shahab & Mehrabi, Amir & Jabbarzadeh, Armin & Aghaee, Mohsen Pourseyed, 2025. "A hybrid optimization approach for designing sustainable intermodal freight transport under mixed uncertainty," Socio-Economic Planning Sciences, Elsevier, vol. 98(C).
    • Handle: RePEc:eee:soceps:v:98:y:2025:i:c:s003801212400346x
    DOI: 10.1016/j.seps.2024.102146
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