IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v124y2022icp61-69.html
   My bibliography  Save this article

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

Author

Listed:
  • Holler Branco, José Eduardo
  • Bartholomeu, Daniela Bacchi
  • Alves Junior, Paulo Nocera
  • Caixeta Filho, José Vicente

Abstract

Transport policies and infrastructure investments diverge across countries, but the actions to improve transportation performance and simultaneously to reduce its CO2 emissions have gained importance around the world. In Brazil, the infrastructure bottlenecks and the low productivity of transport have increasing freight costs and simultaneously the CO2 emissions. Aiming to reduce the impacts of the transport sector inefficiency the Federal Government announced a public-private partnership program to increase investment in new railways. We propose a dual-step procedure to evaluate the expected economic and environmental impacts lead to the inclusion of new railways to the transportation network: i) apply a Network Equilibrium Model to simulate the interregional transportation flows of Brazilian soybean and corn production and evaluate the benefits, measured in terms of reduced transportation costs and CO2 emissions, caused by the new railways; ii) use a cost-effective analysis to rank the investments in the railways according to their economic and environmental contributions. We found that the implementation of the Brazilian planned railways could reduce 17% the total freight cost and 20% the total CO2 emissions of corn and soybean transportation. Three railway projects presented important economic and environmental gains and showed be attractive to private funding.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:trapol:v:124:y:2022:i:c:p:61-69
    DOI: 10.1016/j.tranpol.2020.03.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X20300263
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tranpol.2020.03.011?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Dennis, Scott M., 1999. "Using spatial equilibrium models to analyze transportation rates: an application to steam coal in the United States," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 35(3), pages 145-154, September.
    2. Friesz, Terry L. & Harker, Patrick T., 1983. "Multicriteria spatial price equilibrium network design: Theory and computational results," Transportation Research Part B: Methodological, Elsevier, vol. 17(5), pages 411-426, October.
    3. 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.
    4. Gail L. Cramer & Eric J. Wailes & Shangnan Shui, 1993. "Impacts of Liberalizing Trade in the World Rice Market," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(1), pages 219-226.
    5. Stephen Fuller & Luis Fellin & Victoria Salin, 2003. "Effect of liberalized U.S.-Mexico rice trade: A spatial, multiproduct equilibrium analysis," Agribusiness, John Wiley & Sons, Ltd., vol. 19(1), pages 1-17.
    6. Jacques Guélat & Michael Florian & Teodor Gabriel Crainic, 1990. "A Multimode Multiproduct Network Assignment Model for Strategic Planning of Freight Flows," Transportation Science, INFORMS, vol. 24(1), pages 25-39, February.
    7. Garrido, Rodrigo A. & Mahmassani, Hani S., 2000. "Forecasting freight transportation demand with the space-time multinomial probit model," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 403-418, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Souza, Marlon Fernandes de & Tisler, Trevor Ray & Castro, Gustavo Spadotti Amaral & Oliveira, Andréa Leda Ramos de, 2023. "Port regionalization for agricultural commodities: Mapping exporting port hinterlands," Journal of Transport Geography, Elsevier, vol. 106(C).
    2. Tassia Faria de Assis & Lino Guimarães Marujo & Victor Hugo Souza de Abreu & Mariane Gonzalez da Costa & Leonardo Mangia Rodrigues & Márcio de Almeida D’Agosto, 2023. "Best Practices to Support the Transition towards Sustainable Logistics from the Perspective of Brazilian Carriers," Sustainability, MDPI, vol. 15(18), pages 1-20, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Stephen Devadoss & William Ridley, 2014. "Effects of the Mexican Apple Tariff on the World Apple Market," Review of Development Economics, Wiley Blackwell, vol. 18(4), pages 763-777, November.
    3. 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.
    4. 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.
    5. 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).
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    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. 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. Julien Brunel, 2004. "Stochastic Risk vs. Policy Oriented Uncertainties: The Case of the Alpine Crossings," Post-Print halshs-00095852, HAL.
    13. 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.
    14. Casavant, Ken & Jessup, Eric, 2005. "What Makes them Viable? Determining the Attributes that Offer Potential Viability to Inter-Modal Truck-Rail Facilities in Washington State," 46th Annual Transportation Research Forum, Washington, D.C., March 6-8, 2005 208221, Transportation Research Forum.
    15. 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.
    16. Liu, Yu-Hsin, 2011. "Incorporating scatter search and threshold accepting in finding maximum likelihood estimates for the multinomial probit model," European Journal of Operational Research, Elsevier, vol. 211(1), pages 130-138, May.
    17. List, George, 1987. "Identification of Plant Rationalization Strategies Using Optimization Techniques," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 28(1).
    18. 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.
    19. Crainic, Teodor Gabriel & Perboli, Guido & Rosano, Mariangela, 2018. "Simulation of intermodal freight transportation systems: a taxonomy," European Journal of Operational Research, Elsevier, vol. 270(2), pages 401-418.
    20. Chandra Bhat & Ipek Sener, 2009. "A copula-based closed-form binary logit choice model for accommodating spatial correlation across observational units," Journal of Geographical Systems, Springer, vol. 11(3), pages 243-272, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:trapol:v:124:y:2022:i:c:p:61-69. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.