A Review on Intermodal Transportation and Decarbonization: An Operations Research Perspective
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Acceso en línea: | |
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| _version_ | 1866915200078184448 |
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| author | Ferguson, Madelaine Martinez Sharmin, Aliza Camur, Mustafa Can Li, Xueping |
| author_facet | Ferguson, Madelaine Martinez Sharmin, Aliza Camur, Mustafa Can Li, Xueping |
| contents | This paper reviews intermodal transportation systems and their role in decarbonizing freight networks from an operations research perspective, analyzing over a decade of studies (2010-2024). We present a chronological analysis of the literature, illustrating how the field evolved over time while highlighting the emergence of new research avenues. We observe a significant increase in research addressing decarbonization since 2018, driven by regulatory pressures and technological advancements. Our integrated analysis is organized around three themes: a) modality, b) sustainability, and c) solution techniques. Key recommendations include the development of multistage stochastic models to better manage uncertainties and disruptions within intermodal transportation systems. Further research could leverage innovative technologies like machine learning and blockchain to improve decision-making and resource use through stakeholder collaboration. Life cycle assessment models are also suggested to better understand emissions across transportation stages and support the transition to alternative energy sources. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_12322 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Review on Intermodal Transportation and Decarbonization: An Operations Research Perspective Ferguson, Madelaine Martinez Sharmin, Aliza Camur, Mustafa Can Li, Xueping Optimization and Control This paper reviews intermodal transportation systems and their role in decarbonizing freight networks from an operations research perspective, analyzing over a decade of studies (2010-2024). We present a chronological analysis of the literature, illustrating how the field evolved over time while highlighting the emergence of new research avenues. We observe a significant increase in research addressing decarbonization since 2018, driven by regulatory pressures and technological advancements. Our integrated analysis is organized around three themes: a) modality, b) sustainability, and c) solution techniques. Key recommendations include the development of multistage stochastic models to better manage uncertainties and disruptions within intermodal transportation systems. Further research could leverage innovative technologies like machine learning and blockchain to improve decision-making and resource use through stakeholder collaboration. Life cycle assessment models are also suggested to better understand emissions across transportation stages and support the transition to alternative energy sources. |
| title | A Review on Intermodal Transportation and Decarbonization: An Operations Research Perspective |
| topic | Optimization and Control |
| url | https://arxiv.org/abs/2503.12322 |