IDEAS home Printed from https://ideas.repec.org/a/spr/anresc/v31y1997i2p121-153.html
   My bibliography  Save this article

A model for market share distribution between high-speed and conventional rail services in a transportation corridor

Author

Listed:
  • Chaug-Ing Hsu

    (Department of Transportation Engineering and Management, National Chiao Tung University, Hsinchu, 1001 Ta Hsueh Road, Taiwan, 30050, Republic of China)

  • Wen-Ming Chung

    (Department of Transportation Engineering and Management, National Chiao Tung University, Hsinchu, 1001 Ta Hsueh Road, Taiwan, 30050, Republic of China)

Abstract

High-speed rail (HSR) lines are usually planned to serve corridors with existing conventional rail (CR) lines, since these corridors typically have large markets concentrated around major cities. This paper formulates a new analytical model to estimate market shares of HSR and CR in a fundamental way, and from an individual behavior point of view. Passengers are divided into those who can take an HSR train directly to their destination stations and those who cannot. Optimal route choices are assumed by minimizing the "generalized total travel time". The relationship among demand-supply attributes such as value of time, train departure time, speed, trip length and fares is explored to identify market boundaries by comparing different routing strategies for each type of passenger. Individual route choices are aggregated by accumulating a transformation probability density function of value of time to estimate the spatial distribution of markets for two types of rail lines. The result estimates detail market distributions for passengers alighting at stations along the corridor. HSRs are shown to best serve medium- to long-trip markets, while CRs are shown to serve best for commuter travel and as feeders for the HSRs.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:anresc:v:31:y:1997:i:2:p:121-153
    Note: Received: June 1996 / Accepted: December 1996
    as

    Download full text from publisher

    File URL: http://link.springer.de/link/service/journals/00168/papers/7031002/70310121.pdf
    Download Restriction: Access to the full text of the articles in this series is restricted
    File URL: http://link.springer.de/link/service/journals/00168/papers/7031002/70310121.ps.gz
    Download Restriction: Access to the full text of the articles in this series is restricted
    ---><---

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

    Citations

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


    Cited by:

    1. 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.
    2. Huang, Hai-Jun & Xia, Tian & Tian, Qiong & Liu, Tian-Liang & Wang, Chenlan & Li, Daqing, 2020. "Transportation issues in developing China's urban agglomerations," Transport Policy, Elsevier, vol. 85(C), pages 1-22.
    3. Jiang, Changmin & Zhang, Anming, 2016. "Airline network choice and market coverage under high-speed rail competition," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 248-260.
    4. Michael B. Charles & Neal Ryan & Robbert A. Kivits, 2012. "Moving towards sustainable intercity transport: a case study of high-speed rail in Australia," International Journal of Sustainable Development, Inderscience Enterprises Ltd, vol. 15(1/2), pages 125-147.
    5. Enshou Zhang & Lei Chen & Pei Kuang & David G. Dickinson, 2023. "An Accessibility Measurement Based on Commuter Behaviour and Living Conditions: An Empirical Analysis of the High-Speed Railway Network in the East of China," Sustainability, MDPI, vol. 15(5), pages 1-29, February.
    6. Cascetta, Ennio & Coppola, Pierluigi, 2016. "Assessment of schedule-based and frequency-based assignment models for strategic and operational planning of high-speed rail services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 84(C), pages 93-108.
    7. Li, Hongchang & Wang, Kun & Yu, Kemei & Zhang, Anming, 2020. "Are conventional train passengers underserved after entry of high-speed rail?-Evidence from Chinese intercity markets," Transport Policy, Elsevier, vol. 95(C), pages 1-9.
    8. Dobruszkes, Frédéric, 2011. "High-speed rail and air transport competition in Western Europe: A supply-oriented perspective," Transport Policy, Elsevier, vol. 18(6), pages 870-879, November.
    9. 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).
    10. Espinosa-Aranda, José Luis & García-Ródenas, Ricardo & Ramírez-Flores, María del Carmen & López-García, María Luz & Angulo, Eusebio, 2015. "High-speed railway scheduling based on user preferences," European Journal of Operational Research, Elsevier, vol. 246(3), pages 772-786.

    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:spr:anresc:v:31:y:1997:i:2:p:121-153. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.