IDEAS home Printed from https://ideas.repec.org/a/taf/transp/v38y2015i6p601-625.html
   My bibliography  Save this article

Analysis of taxi demand and supply in New York City: implications of recent taxi regulations

Author

Listed:
  • Camille Kamga
  • M. Anil Yazici
  • Abhishek Singhal

Abstract

This paper investigates temporal and weather-related variation in taxi trips in New York City. A taxi trip data-set with 147 million records covering 10 months of activity is used. It is shown that there are substantial variations in ridership, taxi supply, trip distance, and pickup frequency for different time periods and weather conditions. These variations, in turn, cause variations in driver revenues which is one of the main measures of taxi supply-demand equilibrium. The findings are then used to discuss the anticipated impacts of two recently enacted taxi regulation changes: the first fare increase since 2006 and the E-Hail pilot program which allows taxi hailing with smart phone applications. The fare increase is estimated to cause varying levels of revenue increase for different time periods. E-Hail apps are not expected to offer considerable improvements at all times, but rather when both adequate taxi supply and demand occur simultaneously.

Suggested Citation

  • Camille Kamga & M. Anil Yazici & Abhishek Singhal, 2015. "Analysis of taxi demand and supply in New York City: implications of recent taxi regulations," Transportation Planning and Technology, Taylor & Francis Journals, vol. 38(6), pages 601-625, August.
    • Handle: RePEc:taf:transp:v:38:y:2015:i:6:p:601-625
    DOI: 10.1080/03081060.2015.1048944
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03081060.2015.1048944
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03081060.2015.1048944?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Sun, Daniel(Jian) & Ding, Xueqing, 2019. "Spatiotemporal evolution of ridesourcing markets under the new restriction policy: A case study in Shanghai," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 227-239.
    2. Cetin, Tamer & Deakin, Elizabeth, 2019. "Regulation of taxis and the rise of ridesharing," Transport Policy, Elsevier, vol. 76(C), pages 149-158.
    3. Long Chen & Chenglu Yang & Peng Jing & Qifen Zha & Xingyue Wang & Weichao Wang, 2023. "Are they willing to switch from non-driving to driving? An exploratory study among Chinese older people," Transportation, Springer, vol. 50(4), pages 1125-1163, August.
    4. Xiong, Ziyue & Jian Li, & Wu, Hangbin, 2021. "Understanding operation patterns of urban online ride-hailing services: A case study of Xiamen," Transport Policy, Elsevier, vol. 101(C), pages 100-118.
    5. Liao, Yuan, 2021. "Ride-sourcing compared to its public-transit alternative using big trip data," Journal of Transport Geography, Elsevier, vol. 95(C).
    6. Wenbo Zhang & Tho V. Le & Satish V. Ukkusuri & Ruimin Li, 2020. "Influencing factors and heterogeneity in ridership of traditional and app-based taxi systems," Transportation, Springer, vol. 47(2), pages 971-996, April.
    7. Willis, George & Tranos, Emmanouil, 2020. "Using ‘Big Data’ to understand the impacts of Uber on taxis in New York City," SocArXiv 25fxs, Center for Open Science.
    8. Suthikasem Weladee & Peamsook Sanit, 2023. "The Spatial Distribution of Taxi Stations in Bangkok," Sustainability, MDPI, vol. 15(19), pages 1-22, September.
    9. Lei, Yiyuan & Ozbay, Kaan, 2021. "A robust analysis of the impacts of the stay-at-home policy on taxi and Citi Bike usage: A case study of Manhattan," Transport Policy, Elsevier, vol. 110(C), pages 487-498.

    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:taf:transp:v:38:y:2015:i:6:p:601-625. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GTPT20 .

    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.