IDEAS home Printed from https://ideas.repec.org/a/taf/cjutxx/v25y2018i4p59-75.html
   My bibliography  Save this article

A Methodology for Measuring and Monitoring Congested Corridors: Applications in Manhattan Using Taxi GPS Data

Author

Listed:
  • Carson Qing
  • Wei Hao

Abstract

This paper describes how the Taxi Passenger Enhancement Program (TPEP) Trip Record data can be used to measure traffic congestion along selected corridors in Manhattan. Two corridors in the rapidly changing Far West Side, Ninth Avenue and Tenth Avenue, were selected for analysis in this case study. This paper will describe a methodology using GIS applications that can visualize and identify trends in traffic conditions over time along corridors selected for analysis. This methodology can be applied to evaluate and monitor congested corridors in response to changes in land use patterns, policy decisions, and various temporary conditions affecting street operations.

Suggested Citation

  • Carson Qing & Wei Hao, 2018. "A Methodology for Measuring and Monitoring Congested Corridors: Applications in Manhattan Using Taxi GPS Data," Journal of Urban Technology, Taylor & Francis Journals, vol. 25(4), pages 59-75, October.
  • Handle: RePEc:taf:cjutxx:v:25:y:2018:i:4:p:59-75
    DOI: 10.1080/10630732.2018.1469339
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10630732.2018.1469339
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10630732.2018.1469339?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. D Loaiza-Monsalve & A P Riascos, 2019. "Human mobility in bike-sharing systems: Structure of local and non-local dynamics," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-17, March.

    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:cjutxx:v:25:y:2018:i:4:p:59-75. 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/cjut20 .

    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.