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A Model for the Strategic Planning of National Freight Transportation by Rail

Author

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  • Teodor Gabriel Crainic

    (Département des sciences administratives, Université du Québec à Montréal, and Centre de recherche sur les transports, Université de Montréal, Montréal, Québec, Canada H3C 3J7)

  • Michael Florian

    (Centre de recherche sur les transports, Université de Montréal, Montréal, Québec, Canada H3C 3J7)

  • José-Eugenio Léal

    (Pontificia Universidade Católica do Rio de Janeiro, Rio de Janeiro, Brazil)

Abstract

Recently, we developed a multimode multiproduct network optimization model, that is the network assignment method implemented in an interactive-graphic system for the strategic analysis and planning of national freight transportation systems, called STAN. For STAN, we developed a modeling framework of the rail freight transportation system, its components, operations and goals, that is adapted for both the strategic objectives of the planning system and the representation of the other transportation modes that compose a national multimode transportation system. The objective of this paper is to present and analyze the rail component of this strategic model of a national freight transportation system. We show how the rail model is integrated into STAN, as well as how this modeling framework may be used to represent a number of realistic scenarios.

Suggested Citation

  • Teodor Gabriel Crainic & Michael Florian & José-Eugenio Léal, 1990. "A Model for the Strategic Planning of National Freight Transportation by Rail," Transportation Science, INFORMS, vol. 24(1), pages 1-24, February.
  • Handle: RePEc:inm:ortrsc:v:24:y:1990:i:1:p:1-24
    DOI: 10.1287/trsc.24.1.1
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    Cited by:

    1. Lanza, Giacomo & Crainic, Teodor Gabriel & Rei, Walter & Ricciardi, Nicoletta, 2021. "Scheduled service network design with quality targets and stochastic travel times," European Journal of Operational Research, Elsevier, vol. 288(1), pages 30-46.
    2. Petersen, E. R. & Taylor, A. J., 2001. "An investment planning model for a new North-Central railway in Brazil," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(9), pages 847-862, November.
    3. Gorman, Michael F., 2008. "Evaluating the public investment mix in US freight transportation infrastructure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(1), pages 1-14, January.
    4. Ferreira, L., 1997. "Planning Australian freight rail operations: An overview," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(4), pages 335-348, July.
    5. Boysen, Nils & Fliedner, Malte & Jaehn, Florian & Pesch, Erwin, 2012. "Shunting yard operations: Theoretical aspects and applications," European Journal of Operational Research, Elsevier, vol. 220(1), pages 1-14.
    6. Hanif D. Sherali & Lawrence W. Maguire, 2000. "Determining Rail Fleet Sizes for Shipping Automobiles," Interfaces, INFORMS, vol. 30(6), pages 80-90, December.
    7. Friesz, Terry L. & Suo, Zhong-Gui & Bernstein, David H., 1998. "A dynamic disequilibrium interregional commodity flow model," Transportation Research Part B: Methodological, Elsevier, vol. 32(7), pages 467-483, September.
    8. Tadashi Yamada & Bona Frazila Russ & Jun Castro & Eiichi Taniguchi, 2009. "Designing Multimodal Freight Transport Networks: A Heuristic Approach and Applications," Transportation Science, INFORMS, vol. 43(2), pages 129-143, May.
    9. Wu, Shanhua & Yang, Zhongzhen, 2018. "Optimizing location of manufacturing industries in the context of economic globalization: A bi-level model based approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 501(C), pages 327-337.
    10. Hao Wang & Linda Nozick & Ningxiong Xu & Jared Gearhart, 2018. "Modeling ocean, rail, and truck transportation flows to support policy analysis," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(3), pages 327-357, September.
    11. Moreno-Quintero, Eric & Fowkes, Tony & Watling, David, 2013. "Modelling planner–carrier interactions in road freight transport: Optimisation of road maintenance costs via overloading control," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 50(C), pages 68-83.
    12. Shibasaki, Ryuichi & Ieda, Hitoshi & Watanabe, Tomihiro, 2005. "An International Container Shipping Model in East Asia and its Transferability," Research in Transportation Economics, Elsevier, vol. 13(1), pages 299-336, January.
    13. Haghani, Ali & Oh, Sei-Chang, 1996. "Formulation and solution of a multi-commodity, multi-modal network flow model for disaster relief operations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(3), pages 231-250, May.
    14. Yamada, Tadashi & Febri, Zukhruf, 2015. "Freight transport network design using particle swarm optimisation in supply chain–transport supernetwork equilibrium," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 75(C), pages 164-187.
    15. Yamada, Tadashi & Imai, Koji & Nakamura, Takamasa & Taniguchi, Eiichi, 2011. "A supply chain-transport supernetwork equilibrium model with the behaviour of freight carriers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 887-907.
    16. Piotr Gołębiowski & Marianna Jacyna & Andrzej Stańczak, 2021. "The Assessment of Energy Efficiency versus Planning of Rail Freight Traffic: A Case Study on the Example of Poland," Energies, MDPI, vol. 14(18), pages 1-18, September.
    17. Rosell, Francisca & Codina, Esteve & Montero, Lídia, 2022. "A combined and robust modal-split/traffic assignment model for rail and road freight transport," European Journal of Operational Research, Elsevier, vol. 303(2), pages 688-698.
    18. Pazour, Jennifer A. & Meller, Russell D. & Pohl, Letitia M., 2010. "A model to design a national high-speed rail network for freight distribution," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(3), pages 119-135, March.
    19. Holler Branco, José Eduardo & Bartholomeu, Daniela Bacchi & Alves Junior, Paulo Nocera & Caixeta Filho, José Vicente, 2022. "Evaluation of the economic and environmental impacts from the addition of new railways to the brazilian's transportation network: An application of a network equilibrium model," Transport Policy, Elsevier, vol. 124(C), pages 61-69.
    20. Yi Zhao & Ronghui Liu & Xi Zhang & Anthony Whiteing, 2018. "A chance-constrained stochastic approach to intermodal container routing problems," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-22, February.
    21. Steffen Jaap Skotvoll Bakker & Jonas Martin & E. Ruben van Beesten & Ingvild Synn{o}ve Brynildsen & Anette Sandvig & Marit Siqveland & Antonia Golab, 2023. "STraM: A strategic network design model for national freight transport decarbonization," Papers 2304.14001, arXiv.org, revised Aug 2024.
    22. Crainic, Teodor Gabriel & Laporte, Gilbert, 1997. "Planning models for freight transportation," European Journal of Operational Research, Elsevier, vol. 97(3), pages 409-438, March.
    23. Hussain A. Kharodawala & Ashutosh Mahajan & Jayan Moorkanat, 2022. "Multi-modal supply chain distribution problem," OPSEARCH, Springer;Operational Research Society of India, vol. 59(3), pages 747-768, September.
    24. Li, Xinyan & Xie, Chi & Bao, Zhaoyao, 2022. "A multimodal multicommodity network equilibrium model with service capacity and bottleneck congestion for China-Europe containerized freight flows," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    25. Julien Brunel, 2004. "Stochastic Risk vs. Policy Oriented Uncertainties: The Case of the Alpine Crossings," Post-Print halshs-00095852, HAL.

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