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Impact of pricing and transit disruptions on bikeshare ridership and revenue

Author

Listed:
  • Shruthi Kaviti

    (George Mason University)

  • Mohan M. Venigalla

    (George Mason University)

  • Shanjiang Zhu

    (George Mason University)

  • Kimberly Lucas

    (District Department of Transportation)

  • Stefanie Brodie

    (District Department of Transportation)

Abstract

Bikeshare operators routinely explore options to improve ridership and revenue by studying interaction among pricing, service and operations. The objective of this research is to study the impact of introducing a new $2 fare for single-trip on revenue and ridership at Capital Bikeshare (CaBi) in the metro Washington DC region. The single-trip fare (STF) at CaBi is one of the three fare products aimed at casual users—the other two being 24-h pass and 3-day pass. STF was introduced inconjuction with SafeTrack, which is a major Metrorail track maintenance program intiated by the Washington Metropolitan Area Transit Authority. The impact analysis of STF includes studying the influence of SafeTrack on CaBi ridership. The analysis was based on revenue and ridership data before and after the implementation of STF and weather data for the region. The results showed that the first-time casual members increased by as much as 79% immediately after the introduction of STF, along with an overall increase in ridership. Jurisdiction-level analysis indicated a statistically significant increase in casual user ridership for identical 12-month periods before and after the introduction of STF. However, the analysis indicated that the impact of STF on revenue from casual users before and after STF at jurisdiction-level was inconclusive. As would be expected, the launch of STF, which is a casual fare product, did not impact ridership and revenue of monthly and annual registered members. Sensitivity analysis of ridership to rail transit disruptions due to SafeTrack indicated that there was a statistically significant increase in ridership by registered members and casual users at the CaBi stations affected by SafeTrack. The concurrency of STF launch with SafeTrack may have played a role in this increase. For, the new fare product created an opportunity for commuters to try CaBi as an alternative travel mode at an affordable price that is compatible with transit fare during transit service disruptions. However, the analysis did not present any evidence on the sustained nature of CaBi ridership increase attributable to SafeTrack. The methods used in this research are helpful for bikeshare operators to model changes in ridership and revenue from attributable to pricing structure.

Suggested Citation

  • Shruthi Kaviti & Mohan M. Venigalla & Shanjiang Zhu & Kimberly Lucas & Stefanie Brodie, 2020. "Impact of pricing and transit disruptions on bikeshare ridership and revenue," Transportation, Springer, vol. 47(2), pages 641-662, April.
    • Handle: RePEc:kap:transp:v:47:y:2020:i:2:d:10.1007_s11116-018-9904-5
    DOI: 10.1007/s11116-018-9904-5
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    References listed on IDEAS

    as
    1. Goodman, Anna & Cheshire, James, 2014. "Inequalities in the London bicycle sharing system revisited: impacts of extending the scheme to poorer areas but then doubling prices," Journal of Transport Geography, Elsevier, vol. 41(C), pages 272-279.
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    5. Raja Jurdak, 2013. "The Impact of Cost and Network Topology on Urban Mobility: A Study of Public Bicycle Usage in 2 U.S. Cities," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-6, November.
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    Cited by:

    1. Dong, Zhongpeng & Fan, Zhi-Ping & Wang, Ningning, 2023. "An analysis of pricing strategy for bike-sharing services: The role of the inconvenience cost," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    2. Nigro, Marialisa & Castiglione, Marisdea & Maria Colasanti, Fabio & De Vincentis, Rosita & Valenti, Gaetano & Liberto, Carlo & Comi, Antonio, 2022. "Exploiting floating car data to derive the shifting potential to electric micromobility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 157(C), pages 78-93.
    3. Schimohr, Katja & Scheiner, Joachim, 2021. "Spatial and temporal analysis of bike-sharing use in Cologne taking into account a public transit disruption," Journal of Transport Geography, Elsevier, vol. 92(C).

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