IDEAS home Printed from https://ideas.repec.org/a/hin/jnddns/715256.html
   My bibliography  Save this article

A Study on High-Speed Rail Pricing Strategy in the Context of Modes Competition

Author

Listed:
  • Enjian Yao
  • Qirong Yang
  • Yongsheng Zhang
  • Xun Sun

Abstract

High-speed rail (HSR) has developed rapidly in China over the recent years, for the less pollution, faster speed, comfort, and safety. However, there is still an issue on how to improve the seat occupancy rates for some HSR lines. This research analyzes the pricing strategy for HSR in Wuhan-Guangzhou corridor based on the competition among different transport modes with the aim of improving occupancy rates. It starts with the theoretical analysis of relationship between market share and ticket fare, and then disaggregate choice models with nested structure based on stated preference (SP) data are established to obtain the market share of HSR under specific ticket fare. Finally, a pricing strategy is proposed to improve the occupancy rates for Wuhan-Guangzhou HSR. The results confirm that a pricing strategy with floating fare should be accepted to improve the profit of HSR; to be specific, the ticket fare should be set in lower level on weekdays and higher level on holidays.

Suggested Citation

  • Enjian Yao & Qirong Yang & Yongsheng Zhang & Xun Sun, 2013. "A Study on High-Speed Rail Pricing Strategy in the Context of Modes Competition," Discrete Dynamics in Nature and Society, Hindawi, vol. 2013, pages 1-6, December.
    • Handle: RePEc:hin:jnddns:715256
    DOI: 10.1155/2013/715256
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/DDNS/2013/715256.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/DDNS/2013/715256.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2013/715256?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
    ---><---

    Citations

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


    Cited by:

    1. Xueyi Guan & Jin Qin & Chenghui Mao & Wenliang Zhou, 2023. "A Literature Review of Railway Pricing Based on Revenue Management," Mathematics, MDPI, vol. 11(4), pages 1-17, February.

    More about this item

    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:hin:jnddns:715256. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.