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

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  • 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
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.

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