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Estimation method for railway passengers’ train choice behavior with smart card transaction data

Author

Listed:
  • Takahiko Kusakabe

    ()

  • Takamasa Iryo
  • Yasuo Asakura

Abstract

No abstract is available for this item.

Suggested Citation

  • Takahiko Kusakabe & Takamasa Iryo & Yasuo Asakura, 2010. "Estimation method for railway passengers’ train choice behavior with smart card transaction data," Transportation, Springer, vol. 37(5), pages 731-749, September.
  • Handle: RePEc:kap:transp:v:37:y:2010:i:5:p:731-749
    DOI: 10.1007/s11116-010-9290-0
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    File URL: http://hdl.handle.net/10.1007/s11116-010-9290-0
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    References listed on IDEAS

    as
    1. Bagchi, M. & White, P.R., 2005. "The potential of public transport smart card data," Transport Policy, Elsevier, vol. 12(5), pages 464-474, September.
    2. Morency, Catherine & Trépanier, Martin & Agard, Bruno, 2007. "Measuring transit use variability with smart-card data," Transport Policy, Elsevier, vol. 14(3), pages 193-203, May.
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    Citations

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    Cited by:

    1. Junghan Baek & Keemin Sohn, 2016. "An investigation into passenger preference for express trains during peak hours," Transportation, Springer, vol. 43(4), pages 623-641, July.
    2. Sung-Pil Hong & Yun-Hong Min & Myoung-Ju Park & Kyung Min Kim & Suk Mun Oh, 2016. "Precise estimation of connections of metro passengers from Smart Card data," Transportation, Springer, vol. 43(5), pages 749-769, September.
    3. Hörcher, Daniel & Graham, Daniel J. & Anderson, Richard J., 2017. "Crowding cost estimation with large scale smart card and vehicle location data," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 105-125.
    4. Neema Nassir & Mark Hickman & Zhen-Liang Ma, 2015. "Activity detection and transfer identification for public transit fare card data," Transportation, Springer, vol. 42(4), pages 683-705, July.
    5. repec:eee:transb:v:104:y:2017:i:c:p:522-542 is not listed on IDEAS

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