IDEAS home Printed from https://ideas.repec.org/a/eee/retrec/v104y2024ics0739885924000234.html
   My bibliography  Save this article

Long-Distance railway mode choice in Brazil: Evidence from a discrete choice experiment

Author

Listed:
  • Isler, Cassiano Augusto
  • Blumenfeld, Marcelo
  • Caldeira, Gabriel Pereira
  • Roberts, Clive

Abstract

The appraisal of different railway technologies for new intercity services is essential in policy-making. While High-Speed Rail (HSR) lines provide time-savings by operating at 300 kph, new Conventional Rail (CR) services at 150 kph can offer cost-effective benefits. Therefore, assessing the value of travel time (VTT) helps determining such benefits, particularly in the Global South where they may be relatively unknown. This paper examines the VTT of hypothetical intercity business and non-business HSR and CR services in Brazil using data from a Stated Preference survey and Multinomial Logit (MNL) and Mixed Multinomial Logit (MMNL) models. Results indicate that VTT for HSR on business trips are higher than for CR services and vary significantly between trip purpose. Moreover, the VTTs for business trips are similar to those of European countries on average, but significantly higher than other Global South countries for either railway technology or trip purpose.

Suggested Citation

  • Isler, Cassiano Augusto & Blumenfeld, Marcelo & Caldeira, Gabriel Pereira & Roberts, Clive, 2024. "Long-Distance railway mode choice in Brazil: Evidence from a discrete choice experiment," Research in Transportation Economics, Elsevier, vol. 104(C).
    • Handle: RePEc:eee:retrec:v:104:y:2024:i:c:s0739885924000234
    DOI: 10.1016/j.retrec.2024.101428
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0739885924000234
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.retrec.2024.101428?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. Li, Zhi-Chun & Sheng, Dian, 2016. "Forecasting passenger travel demand for air and high-speed rail integration service: A case study of Beijing-Guangzhou corridor, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 397-410.
    2. Ortúzar, Juan de Dios & Simonetti, Carolina, 2008. "Modelling the demand for medium distance air travel with the mixed data estimation method," Journal of Air Transport Management, Elsevier, vol. 14(6), pages 297-303.
    3. Sampaio, Patrícia Regina Pinheiro & Daychoum, Mariam Tchepurnaya, 2017. "Two decades of rail regulatory reform in Brazil (1996–2016)," Utilities Policy, Elsevier, vol. 49(C), pages 93-103.
    4. Roger Vickerman, 1997. "High-speed rail in Europe: experience and issues for future development," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(1), pages 21-38.
    5. Wang, Kun & Xia, Wenyi & Zhang, Anming, 2017. "Should China further expand its high-speed rail network? Consider the low-cost carrier factor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 105-120.
    6. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    7. Koppelman, Frank S. & Wen, Chieh-Hua, 2000. "The paired combinatorial logit model: properties, estimation and application," Transportation Research Part B: Methodological, Elsevier, vol. 34(2), pages 75-89, February.
    8. Gatta, Valerio & Marcucci, Edoardo & Scaccia, Luisa, 2015. "On finite sample performance of confidence intervals methods for willingness to pay measures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 169-192.
    9. Rose, John M. & Bliemer, Michiel C.J. & Hensher, David A. & Collins, Andrew T., 2008. "Designing efficient stated choice experiments in the presence of reference alternatives," Transportation Research Part B: Methodological, Elsevier, vol. 42(4), pages 395-406, May.
    10. Adler, Nicole & Pels, Eric & Nash, Chris, 2010. "High-speed rail and air transport competition: Game engineering as tool for cost-benefit analysis," Transportation Research Part B: Methodological, Elsevier, vol. 44(7), pages 812-833, August.
    11. Bliemer, Michiel C.J. & Rose, John M., 2013. "Confidence intervals of willingness-to-pay for random coefficient logit models," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 199-214.
    12. Chaug-Ing Hsu & Wen-Ming Chung, 1997. "A model for market share distribution between high-speed and conventional rail services in a transportation corridor," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(2), pages 121-153.
    13. Kamga, Camille, 2015. "Emerging travel trends, high-speed rail, and the public reinvention of U.S. transportation," Transport Policy, Elsevier, vol. 37(C), pages 111-120.
    14. Yuanqing Wang & Lei Li & Li Wang & Adrian Moore & Samuel Staley & Zongzhi Li, 2014. "Modeling traveler mode choice behavior of a new high-speed rail corridor in China," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(5), pages 466-483, July.
    15. Yang, Hangjun & Zhang, Anming, 2012. "Effects of high-speed rail and air transport competition on prices, profits and welfare," Transportation Research Part B: Methodological, Elsevier, vol. 46(10), pages 1322-1333.
    16. Krinsky, Itzhak & Robb, A Leslie, 1986. "On Approximating the Statistical Properties of Elasticities," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 715-719, November.
    17. Andrew Daly & Stephane Hess & Kenneth Train, 2012. "Assuring finite moments for willingness to pay in random coefficient models," Transportation, Springer, vol. 39(1), pages 19-31, January.
    18. Hess, Stephane & Train, Kenneth E. & Polak, John W., 2006. "On the use of a Modified Latin Hypercube Sampling (MLHS) method in the estimation of a Mixed Logit Model for vehicle choice," Transportation Research Part B: Methodological, Elsevier, vol. 40(2), pages 147-163, February.
    19. Albalate, Daniel & Bel, Germà & Fageda, Xavier, 2015. "Competition and cooperation between high-speed rail and air transportation services in Europe," Journal of Transport Geography, Elsevier, vol. 42(C), pages 166-174.
    20. Scaccia, Luisa & Marcucci, Edoardo & Gatta, Valerio, 2023. "Prediction and confidence intervals of willingness-to-pay for mixed logit models," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 54-78.
    21. Diao, Mi, 2018. "Does growth follow the rail? The potential impact of high-speed rail on the economic geography of China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 279-290.
    22. Zhao, Jian & Zhao, Yunyi & Li, Ying, 2015. "The variation in the value of travel-time savings and the dilemma of high-speed rail in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 130-140.
    23. Hess, Stephane & Palma, David, 2019. "Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    24. Bhat, Chandra R., 1997. "Covariance heterogeneity in nested logit models: Econometric structure and application to intercity travel," Transportation Research Part B: Methodological, Elsevier, vol. 31(1), pages 11-21, February.
    25. Behrens, Christiaan & Pels, Eric, 2012. "Intermodal competition in the London–Paris passenger market: High-Speed Rail and air transport," Journal of Urban Economics, Elsevier, vol. 71(3), pages 278-288.
    26. Krinsky, Itzhak & Robb, A Leslie, 1990. "On Approximating the Statistical Properties of Elasticities: A Correction," The Review of Economics and Statistics, MIT Press, vol. 72(1), pages 189-190, February.
    27. Yang, Chih-Wen & Chang, Cheng-Chih, 2011. "Applying price and time differentiation to modeling cabin choice in high-speed rail," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(1), pages 73-84, January.
    28. 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.
    29. Park, Yonghwa & Ha, Hun-Koo, 2006. "Analysis of the impact of high-speed railroad service on air transport demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 42(2), pages 95-104, March.
    30. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    31. Ren, Xiaohong & Chen, Zhenhua & Wang, Fang & Dan, Ting & Wang, Wei & Guo, Xiaotong & Liu, Chunhua, 2020. "Impact of high-speed rail on social equity in China: Evidence from a mode choice survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 422-441.
    32. Daly, Andrew & Hess, Stephane & de Jong, Gerard, 2012. "Calculating errors for measures derived from choice modelling estimates," Transportation Research Part B: Methodological, Elsevier, vol. 46(2), pages 333-341.
    33. Wen, Chieh-Hua & Wang, Wei-Chung & Fu, Chiang, 2012. "Latent class nested logit model for analyzing high-speed rail access mode choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 545-554.
    34. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    35. Wu, Jianhong & Nash, Chris & Wang, Dong, 2014. "Is high speed rail an appropriate solution to China’s rail capacity problems?," Journal of Transport Geography, Elsevier, vol. 40(C), pages 100-111.
    36. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Scaccia, Luisa & Marcucci, Edoardo & Gatta, Valerio, 2023. "Prediction and confidence intervals of willingness-to-pay for mixed logit models," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 54-78.
    3. Asep Yayat Nurhidayat & Hera Widyastuti & Sutikno & Dwi Phalita Upahita, 2023. "Research on Passengers’ Preferences and Impact of High-Speed Rail on Air Transport Demand," Sustainability, MDPI, vol. 15(4), pages 1-26, February.
    4. Huang, Yan & Zong, Huiming, 2022. "The intercity railway connections in China: A comparative analysis of high-speed train and conventional train services," Transport Policy, Elsevier, vol. 120(C), pages 89-103.
    5. Chen, Zhenhua, 2023. "Socioeconomic Impacts of high-speed rail: A bibliometric analysis," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    6. Yen, Barbara T.H. & Mulley, Corinne & Tseng, Wen-Chun, 2018. "Inter-modal competition in an urbanised area: Heavy rail and busways," Research in Transportation Economics, Elsevier, vol. 69(C), pages 77-85.
    7. Bergantino, Angela Stefania & Madio, Leonardo, 2020. "Intermodal competition and substitution. HSR versus air transport: Understanding the socio-economic determinants of modal choice," Research in Transportation Economics, Elsevier, vol. 79(C).
    8. Schmid, Basil & Axhausen, Kay W., 2019. "In-store or online shopping of search and experience goods: A hybrid choice approach," Journal of choice modelling, Elsevier, vol. 31(C), pages 156-180.
    9. Wang, Yixiao & Pels, Eric & Teunter, Ruud H. & Sun, Luoyi & Wu, Jianhong, 2023. "Railway liberalization, airport congestion toll, and infrastructure pricing: Modelling and numerical analysis for European and Chinese markets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    10. Borsati, Mattia & Albalate, Daniel, 2020. "On the modal shift from motorway to high-speed rail: evidence from Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 145-164.
    11. Haghani, Milad & Sarvi, Majid & Shahhoseini, Zahra, 2015. "Accommodating taste heterogeneity and desired substitution pattern in exit choices of pedestrian crowd evacuees using a mixed nested logit model," Journal of choice modelling, Elsevier, vol. 16(C), pages 58-68.
    12. Tinessa, Fiore & Marzano, Vittorio & Papola, Andrea, 2020. "Mixing distributions of tastes with a Combination of Nested Logit (CoNL) kernel: Formulation and performance analysis," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 1-23.
    13. Wang, Kun & Xia, Wenyi & Zhang, Anming, 2017. "Should China further expand its high-speed rail network? Consider the low-cost carrier factor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 105-120.
    14. Rodrigo J. Tapia & Gerard Jong & Ana M. Larranaga & Helena B. Bettella Cybis, 2021. "Exploring Multiple‐discreteness in Freight Transport. A Multiple Discrete Extreme Value Model Application for Grain Consolidators in Argentina," Networks and Spatial Economics, Springer, vol. 21(3), pages 581-608, September.
    15. Daziano, Ricardo A. & Achtnicht, Martin, 2014. "Accounting for uncertainty in willingness to pay for environmental benefits," Energy Economics, Elsevier, vol. 44(C), pages 166-177.
    16. Su, Min & Luan, Weixin & Fu, Xiaowen & Yang, Zaili & Zhang, Rui, 2020. "The competition effects of low-cost carriers and high-speed rail on the Chinese aviation market," Transport Policy, Elsevier, vol. 95(C), pages 37-46.
    17. Bliemer, Michiel C.J. & Rose, John M., 2013. "Confidence intervals of willingness-to-pay for random coefficient logit models," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 199-214.
    18. Wang, Yixiao & Sun, Luoyi & Teunter, Ruud H. & Wu, Jianhong & Hua, Guowei, 2020. "Effects of introducing low-cost high-speed rail on air-rail competition: Modelling and numerical analysis for Paris-Marseille," Transport Policy, Elsevier, vol. 99(C), pages 145-162.
    19. Behrens, Christiaan & Pels, Eric, 2012. "Intermodal competition in the London–Paris passenger market: High-Speed Rail and air transport," Journal of Urban Economics, Elsevier, vol. 71(3), pages 278-288.
    20. Daniel Albalate & Mattia Borsati, 2019. "“On the modal shift from motorway to high-speed rail: evidence from Italy”," IREA Working Papers 201910, University of Barcelona, Research Institute of Applied Economics, revised Jun 2019.

    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:retrec:v:104:y:2024:i:c:s0739885924000234. 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/620614/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.