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A procedure for public transit OD matrix generation using smart card transaction data

Author

Listed:
  • Masood Jafari Kang

    (Lamar University)

  • Shervin Ataeian

    (Urmia University)

  • S. M. Mahdi Amiripour

    (Toos Institute of Higher Education)

Abstract

Most fare collection systems are initially installed as single-purpose devices which are only used for collecting fare; however, many transit planners consider them as a rich source of data required for studying the passengers' trip trends. Although, usually, there is no transaction made at the destination stop, making some assumptions can help us infer the destination. In this study, we present an integrated procedure that can generate origin–destination matrices and passenger load profiles as essential tools for public transport planning processes. Moreover, this procedure can be used to detect and analyze trips that include transfers. In an attempt to employ the proposed algorithm in the Tehran bus rapid transit network, 52% of the transactions could be used to trace the trips in an origin–destination format. The trips that include transfers are recognized and analyzed further. Our detailed results of the method application indicate that the proposed algorithm is a productive and economical public transport planning method.

Suggested Citation

  • Masood Jafari Kang & Shervin Ataeian & S. M. Mahdi Amiripour, 2021. "A procedure for public transit OD matrix generation using smart card transaction data," Public Transport, Springer, vol. 13(1), pages 81-100, March.
    • Handle: RePEc:spr:pubtra:v:13:y:2021:i:1:d:10.1007_s12469-020-00257-7
    DOI: 10.1007/s12469-020-00257-7
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    References listed on IDEAS

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    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. Filip Covic & Stefan Voß, 2019. "Interoperable smart card data management in public mass transit," Public Transport, Springer, vol. 11(3), pages 523-548, October.
    3. 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.
    4. Anne Halvorsen & Haris N. Koutsopoulos & Zhenliang Ma & Jinhua Zhao, 0. "Demand management of congested public transport systems: a conceptual framework and application using smart card data," Transportation, Springer, vol. 0, pages 1-29.
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    Cited by:

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