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Designing a Geo-Strategic Railway Freight Network in Brazil Using GIS

Author

Listed:
  • Cassiano A. Isler

    (Transportation Engineering Department, Escola Politécnica, University of São Paulo, São Paulo 05508-070, Brazil)

  • Yesid Asaff

    (Mobility Engineering Department, Federal University of Santa Catarina, Joinville 89219-600, Brazil)

  • Marin Marinov

    (School of Engineering and Applied Science, Engineering Systems and Supply Chain Management, Aston University, Birmingham B4 7ET, UK)

Abstract

The sustainable development of geo-strategic transport networks plays a key role to meet the current expansion of the demand for commerce and economic growth. In this paper, a new geo-strategic railway network for freight services is designed with the purpose of meeting the needs of current and future demands for freight transport in the state of Santa Catarina, South Brazil. The freight flows of bulk cargo, containers, and refrigerated and liquid cargo observed in 2005 and 2015 and expected for 2023 have been analyzed and assigned to a fully connected railway network. The number of trains to meet all the demands has been identified. The links that would have a minimum number of daily trains running on them have also been identified and analyzed. New assignments are proposed and visualized using GIS. Next, location and technical specifications of specialized intermodal terminals focused on the customers’ and operators’ needs are discussed. The study shows that technological specifications for terminal operations play an important role when dealing with multiple freight types and contribute to better use of the existing infrastructure.

Suggested Citation

  • Cassiano A. Isler & Yesid Asaff & Marin Marinov, 2020. "Designing a Geo-Strategic Railway Freight Network in Brazil Using GIS," Sustainability, MDPI, vol. 13(1), pages 1-21, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2020:i:1:p:85-:d:467415
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    as
    1. Bell, Michael G.H. & Liu, Xin & Rioult, Jeremy & Angeloudis, Panagiotis, 2013. "A cost-based maritime container assignment model," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 58-70.
    2. Rodrigues, Niágara & Losekann, Luciano & Silveira Filho, Getulio, 2018. "Demand of automotive fuels in Brazil: Underlying energy demand trend and asymmetric price response," Energy Economics, Elsevier, vol. 74(C), pages 644-655.
    3. Marin V. Marinov & José M. Viegas, 2011. "Tactical management of rail freight transportation services: evaluation of yard performance," Transportation Planning and Technology, Taylor & Francis Journals, vol. 34(4), pages 363-387, March.
    4. Ferrari, Paolo, 2014. "The dynamics of modal split for freight transport," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 163-176.
    5. Duan, Liwei & Tavasszy, Lorant A. & Rezaei, Jafar, 2019. "Freight service network design with heterogeneous preferences for transport time and reliability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 124(C), pages 1-12.
    6. Cantos-Sánchez, Pedro & Moner-Colonques, Rafael & Sempere-Monerris, José J. & Álvarez-SanJaime, Óscar, 2011. "Viability of new road infrastructure with heterogeneous users," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(5), pages 435-450, June.
    7. Tan, Zhijia & Yang, Hai, 2012. "The impact of user heterogeneity on road franchising," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(5), pages 958-975.
    8. Zhao, Yong & Kockelman, Kara Maria, 2006. "On-line marginal-cost pricing across networks: Incorporating heterogeneous users and stochastic equilibria," Transportation Research Part B: Methodological, Elsevier, vol. 40(5), pages 424-435, June.
    9. J. Enrique Fernández L. & Joaquín De Cea Ch & Ricardo Giesen E, 2004. "A strategic model of freight operations for rail transportation systems," Transportation Planning and Technology, Taylor & Francis Journals, vol. 27(4), pages 231-260, August.
    10. Teodor Crainic & Jacques-A. Ferland & Jean-Marc Rousseau, 1984. "A Tactical Planning Model for Rail Freight Transportation," Transportation Science, INFORMS, vol. 18(2), pages 165-184, May.
    11. Crainic, Teodor Gabriel & Laporte, Gilbert, 1997. "Planning models for freight transportation," European Journal of Operational Research, Elsevier, vol. 97(3), pages 409-438, March.
    12. Wang, Judith Y.T. & Ehrgott, Matthias, 2013. "Modelling route choice behaviour in a tolled road network with a time surplus maximisation bi-objective user equilibrium model," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 342-360.
    13. Fontoura, Wlisses Bonelá & Chaves, Gisele de Lorena Diniz & Ribeiro, Glaydston Mattos, 2019. "The Brazilian urban mobility policy: The impact in São Paulo transport system using system dynamics," Transport Policy, Elsevier, vol. 73(C), pages 51-61.
    14. Woroniuk, Clare & Marinov, Marin & Zunder, Tom & Mortimer, Phil, 2013. "Time series analysis of rail freight services by the private sector in Europe," Transport Policy, Elsevier, vol. 25(C), pages 81-93.
    15. Alumur, Sibel & Kara, Bahar Y., 2008. "Network hub location problems: The state of the art," European Journal of Operational Research, Elsevier, vol. 190(1), pages 1-21, October.
    16. Michael Kuby & Zhongyi Xu & Xiaodong Xie, 2001. "Railway network design with multiple project stages and time sequencing," Journal of Geographical Systems, Springer, vol. 3(1), pages 25-47, May.
    17. Tapia, Rodrigo J. & de Jong, Gerard & Larranaga, Ana M. & Bettella Cybis, Helena B., 2020. "Application of MDCEV to infrastructure planning in regional freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 255-271.
    18. 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.
    19. Vasconcellos, Eduardo Alcantara, 2018. "Urban transport policies in Brazil: The creation of a discriminatory mobility system," Journal of Transport Geography, Elsevier, vol. 67(C), pages 85-91.
    20. Crainic, Teodor Gabriel, 2000. "Service network design in freight transportation," European Journal of Operational Research, Elsevier, vol. 122(2), pages 272-288, April.
    21. Marinov, Marin & Şahin, İsmail & Ricci, Stefano & Vasic-Franklin, Gordana, 2013. "Railway operations, time-tabling and control," Research in Transportation Economics, Elsevier, vol. 41(1), pages 59-75.
    22. WANG, James Jixian & YAU, Selina, 2018. "Case studies on transport infrastructure projects in belt and road initiative: An actor network theory perspective," Journal of Transport Geography, Elsevier, vol. 71(C), pages 213-223.
    23. Judith M. Farvolden & Warren B. Powell, 1994. "Subgradient Methods for the Service Network Design Problem," Transportation Science, INFORMS, vol. 28(3), pages 256-272, August.
    24. Yang, Hai & Huang, Hai-Jun, 2004. "The multi-class, multi-criteria traffic network equilibrium and systems optimum problem," Transportation Research Part B: Methodological, Elsevier, vol. 38(1), pages 1-15, January.
    25. SteadieSeifi, M. & Dellaert, N.P. & Nuijten, W. & Van Woensel, T. & Raoufi, R., 2014. "Multimodal freight transportation planning: A literature review," European Journal of Operational Research, Elsevier, vol. 233(1), pages 1-15.
    26. Crainic, Teodor Gabriel & Roy, Jacques, 1988. "OR tools for tactical freight transportation planning," European Journal of Operational Research, Elsevier, vol. 33(3), pages 290-297, February.
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