IDEAS home Printed from https://ideas.repec.org/p/hhs/ctswps/2011_016.html
   My bibliography  Save this paper

Can high speed rail offset its embedded emissions?

Author

Listed:
  • Westin, Jonas

    (KTH)

  • Kågeson, Per

    (KTH)

Abstract

The purpose of this paper is to analyze the climate benefit of investments in high speed rail-way lines given uncertainty in future transport demand, technology and power production. To capture the uncertainty of estimated parameters, distributions for the annual traffic emissions reduction required to compensate for the embedded emissions from the construction of infrastructure are calculated using Monte Carlo simulation. In order to balance the annualized emissions from the railway construction, traffic volumes of more than 10 million annual one-way trips are usually required. Most of the traffic diverted from other modes must come from aviation and the project cannot involve the extensive use of tunnels. In sparsely populated regions it may be, from a climate point of view, better to upgrade existing lines and to try to make people substitute air travel by modern telecommunications, rather than investing large amounts of resources in enabling people to travel faster and more often.

Suggested Citation

  • Westin, Jonas & Kågeson, Per, 2011. "Can high speed rail offset its embedded emissions?," Working papers in Transport Economics 2011:16, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
  • Handle: RePEc:hhs:ctswps:2011_016
    as

    Download full text from publisher

    File URL: http://www.transportportal.se/SWoPEc/CTS2011-16.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ginés de Rus, 2008. "The Economic Effects of High Speed Rail Investment," OECD/ITF Joint Transport Research Centre Discussion Papers 2008/16, OECD Publishing.
    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. Chiambaretto, Paul & Decker, Christopher, 2012. "Air–rail intermodal agreements: Balancing the competition and environmental effects," Journal of Air Transport Management, Elsevier, vol. 23(C), pages 36-40.
    2. Bueno, Gorka & Hoyos, David & Capellán-Pérez, Iñigo, 2017. "Evaluating the environmental performance of the high speed rail project in the Basque Country, Spain," Research in Transportation Economics, Elsevier, vol. 62(C), pages 44-56.
    3. Zhang, Anming & Wan, Yulai & Yang, Hangjun, 2019. "Impacts of high-speed rail on airlines, airports and regional economies: A survey of recent research," Transport Policy, Elsevier, vol. 81(C), pages 1-19.
    4. Tiziana D'Alfonso & Changmin Jiang & Valentina Bracaglia, 2015. "Air transport and high-speed rail competition: environmental implications and mitigation strategies," DIAG Technical Reports 2015-15, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    5. Zhipeng Tang & Ziao Mei & Jialing Zou, 2021. "Does the Opening of High-Speed Railway Lines Reduce the Carbon Intensity of China’s Resource-Based Cities?," Energies, MDPI, vol. 14(15), pages 1-18, July.
    6. Mohsen Momenitabar & Zhila Dehdari Ebrahimi & Mohammad Arani, 2020. "A Systematic and Analytical Review of the Socioeconomic and Environmental Impact of the Deployed High-Speed Rail (HSR) Systems on the World," Papers 2003.04452, arXiv.org, revised Mar 2020.
    7. Grimaldi, Raffaele & Beria, Paolo, 2013. "Open issues in the practice of cost benefit analysis of transport projects," MPRA Paper 53766, University Library of Munich, Germany.
    8. Piterina Olga & Masharsky Alexander, 2019. "Energy Consumption of Rail Baltica Project: Regional Aspects of Environmental Impact," Economics and Culture, Sciendo, vol. 16(1), pages 148-160, June.
    9. Chester, Mikhail V. & Ryerson, Megan S., 2014. "Grand challenges for high-speed rail environmental assessment in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 15-26.
    10. Westin, Jonas & de Jong, Gerard & Vierth, Inge & Krüger, Niclas & Karlsson, Rune & Johansson, Magnus, 2015. "Baserunning - analyzing the sensitivity and economies of scale of the Swedish national freight model system using stochastic production-consumption-matrices," Working papers in Transport Economics 2015:10, CTS - Centre for Transport Studies Stockholm (KTH and VTI), revised 15 Sep 2016.
    11. Mohsen Momenitabar & Raj Bridgelall & Zhila Dehdari Ebrahimi & Mohammad Arani, 2021. "Literature Review of Socioeconomic and Environmental Impacts of High-Speed Rail in the World," Sustainability, MDPI, vol. 13(21), pages 1-27, November.
    12. Chen, Zhenhua & Xue, Junbo & Rose, Adam Z. & Haynes, Kingsley E., 2016. "The impact of high-speed rail investment on economic and environmental change in China: A dynamic CGE analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 232-245.
    13. Stanis£Aw Brzeziñski & Dariusz Liszewski, 2014. "Development Perspectives Of Passenger Rail Transport In Poland And Chosen European Union Countries," Advanced Logistic systems, University of Miskolc, Department of Material Handling and Logistics, vol. 8(2), pages 5-10, December.
    14. D’Alfonso, Tiziana & Jiang, Changmin & Bracaglia, Valentina, 2016. "Air transport and high-speed rail competition: Environmental implications and mitigation strategies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 261-276.
    15. Hongchang Li & Jack Strauss & Lihong Liu, 2019. "A Panel Investigation of High-Speed Rail (HSR) and Urban Transport on China’s Carbon Footprint," Sustainability, MDPI, vol. 11(7), pages 1-24, April.
    16. Liang Nie & ZhongXiang Zhang, 2021. "Is high-speed rail green? Evidence from a quasi-natural experiment in China," Working Papers 2021.23, Fondazione Eni Enrico Mattei.

    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. Caginalp, Gunduz & DeSantis, Mark, 2017. "Does price efficiency increase with trading volume? Evidence of nonlinearity and power laws in ETFs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 436-452.
    2. Kamalinia, Saeed & Shahidehpour, Mohammad & Wu, Lei, 2014. "Sustainable resource planning in energy markets," Applied Energy, Elsevier, vol. 133(C), pages 112-120.
    3. Marti-Henneberg, Jordi, 2015. "Attracting travellers to the high-speed train: a methodology for comparing potential demand between stations," Journal of Transport Geography, Elsevier, vol. 42(C), pages 145-156.
    4. Campos, Javier & de Rus, Ginés, 2009. "Some stylized facts about high-speed rail: A review of HSR experiences around the world," Transport Policy, Elsevier, vol. 16(1), pages 19-28, January.
    5. Vitaly Pruzhansky, 2014. "Luxury goods, vertical restraints and internet sales," European Journal of Law and Economics, Springer, vol. 38(2), pages 227-246, October.
    6. Rassier, Dylan G. & Earnhart, Dietrich, 2015. "Effects of environmental regulation on actual and expected profitability," Ecological Economics, Elsevier, vol. 112(C), pages 129-140.
    7. Li, Hui & Dong, Xiucheng & Jiang, Qingzhe & Dong, Kangyin, 2021. "Policy analysis for high-speed rail in China: Evolution, evaluation, and expectation," Transport Policy, Elsevier, vol. 106(C), pages 37-53.
    8. Chen, Zhenhua & Xue, Junbo & Rose, Adam Z. & Haynes, Kingsley E., 2016. "The impact of high-speed rail investment on economic and environmental change in China: A dynamic CGE analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 232-245.
    9. Henry Antonio Mendoza Tolosa & Carlos Andrés Yanes Guerra, 2014. "Impacto del gasto público en la dinámica económica regional," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 6(1), pages 23-41, April.
    10. Martínez Sánchez-Mateos, Héctor S. & Givoni, Moshe, 2012. "The accessibility impact of a new High-Speed Rail line in the UK – a preliminary analysis of winners and losers," Journal of Transport Geography, Elsevier, vol. 25(C), pages 105-114.
    11. Wolski, Marcin & van de Leur, Michiel, 2016. "Interbank loans, collateral and modern monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 388-416.
    12. Hiramatsu, Tomoru, 2018. "Job and population location choices and economic scale as effects of high speed rail: Simulation analysis of Shinkansen in Kyushu, Japan," Research in Transportation Economics, Elsevier, vol. 72(C), pages 15-26.
    13. Mariko Utsunomiya & Kenichi Hodota, 2011. "Financial lessons from Asian experience in constructing and operating high speed train networks," Transportation, Springer, vol. 38(5), pages 753-764, September.
    14. Perl, Anthony D. & Goetz, Andrew R., 2015. "Corridors, hybrids and networks: three global development strategies for high speed rail," Journal of Transport Geography, Elsevier, vol. 42(C), pages 134-144.
    15. John Ward & Cameron Hepburn & David Anthoff & Simon Baptist & Philip Gradwell & Chris Hope & Max Krahé, 2012. "Self-interested Low-carbon Growth in Brazil, China, and India," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 4(3), pages 291-318, September.
    16. GEAMĂNU, Marinela & POPESCU, Barbu Bogdan, 2013. "Analysis Of Romania’S External Debt And The Implications For Foreign Relations During 2000-2013," Annals of Spiru Haret University, Economic Series, Universitatea Spiru Haret, vol. 4(3), pages 61-67.
    17. Burdett, RL, 2016. "Optimisation models for expanding a railway's theoretical capacity," European Journal of Operational Research, Elsevier, vol. 251(3), pages 783-797.
    18. Chen, Zhenhua & Haynes, Kingsley E., 2017. "Impact of high-speed rail on regional economic disparity in China," Journal of Transport Geography, Elsevier, vol. 65(C), pages 80-91.
    19. Cobos, Carlos & Escribano, Álvaro, 2022. "High-Speed Rail: a panel data impact evaluation by Municipalities on depopulation and unemployment," UC3M Working papers. Economics 35284, Universidad Carlos III de Madrid. Departamento de Economía.

    More about this item

    Keywords

    High-speed rail; CO2 emissions; Embedded emissions; Infrastructure investment; Monte Carlo simulation; Sensitivity analysis;
    All these keywords.

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:hhs:ctswps:2011_016. 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: CTS (email available below). General contact details of provider: http://www.cts.kth.se/ .

    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.