IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v44y2014i3p286-299.html
   My bibliography  Save this article

Decision Analytics for Parking Availability in Downtown Pittsburgh

Author

Listed:
  • Tayo Fabusuyi

    (Numeritics, Pittsburgh, Pennsylvania 15206)

  • Robert C. Hampshire

    (H. John Heinz III College, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

  • Victoria A. Hill

    (Numeritics, Pittsburgh, Pennsylvania 15206)

  • Katsunobu Sasanuma

    (H. John Heinz III College, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

Abstract

ParkPGH is a novel parking application that provides real-time and predictive information on the availability of garage parking spaces within Pittsburgh’s Cultural District. The core of the application is a module that collects real-time parking information from the garages by tapping into their gate counts. The real-time component is complemented by a module that uses historical data and an events calendar to predict parking availability. In 2011, visitors to downtown Pittsburgh used ParkPGH more than 300,000 times to determine when and where to park. The application has also been beneficial to garage operators because the information it provides on parking demand affords them greater flexibility in addressing contingencies and managing lease holders.The deployment of ParkPGH, which includes a robust evaluation component, is one piece of a broader transportation ecosystem within the Greater Pittsburgh region. The lessons we learned from the initiative, the application’s relatively low cost, its ease of retrofitting, and its open-source platform can enable other cities to lower the costs of implementing and managing similar smart-parking solutions and significantly shorten their learning curves.

Suggested Citation

  • Tayo Fabusuyi & Robert C. Hampshire & Victoria A. Hill & Katsunobu Sasanuma, 2014. "Decision Analytics for Parking Availability in Downtown Pittsburgh," Interfaces, INFORMS, vol. 44(3), pages 286-299, June.
    • Handle: RePEc:inm:orinte:v:44:y:2014:i:3:p:286-299
    DOI: 10.1287/inte.2014.0743
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.2014.0743
    Download Restriction: no
    File URL: https://libkey.io/10.1287/inte.2014.0743?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
    ---><---

    References listed on IDEAS

    as
    1. Shaheen, Susan & Kemmerer, Charlene, 2008. "Smart Parking Linked to Transit: Lessons Learned from the Field Test in San Francisco Bay Area of California," Institute of Transportation Studies, Working Paper Series qt2bd6m65k, Institute of Transportation Studies, UC Davis.
    2. Shaheen, Susan A & Kemmerer, Charlene, 2008. "Smart Parking Linked to Transit: Lessons Learned from Field Test in San Francisco Bay Area of California," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3wh3r99g, Institute of Transportation Studies, UC Berkeley.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Baibing, 2022. "Stochastic modeling and adaptive forecasting for parking space availability with drivers’ time-varying arrival/departure behavior," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 313-332.
    2. Fabusuyi, Tayo & Hampshire, Robert C., 2018. "Rethinking performance based parking pricing: A case study of SFpark," Transportation Research Part A: Policy and Practice, Elsevier, vol. 115(C), pages 90-101.
    3. Qi Feng & J. George Shanthikumar & Mengying Xue, 2022. "Consumer Choice Models and Estimation: A Review and Extension," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 847-867, February.
    4. Tayo Fabusuyi & Michael P Johnson, 2022. "Enhancing the quality and social impacts of urban planning through community-engaged operations research," Environment and Planning B, , vol. 49(4), pages 1167-1183, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rodier, Caroline & Shaheen, Susan A. & Blake, Tagan, 2010. "Smart Parking Pilot on the Coaster Commuter Rail Line in San Diego, California," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt06s723rw, Institute of Transportation Studies, UC Berkeley.

    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:inm:orinte:v:44:y:2014:i:3:p:286-299. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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 Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.