IDEAS home Printed from
   My bibliography  Save this paper

Estimating Peak Demand for Beach Parking Spaces


  • Christopher F. Dumas
  • John C. Whitehead
  • James H. Herstine
  • Robert B. Buerger
  • Jeffery M. Hill


The United States Army Corps of Engineers planning guidance stipulates that in order for local beach communities to qualify for Federal cost share funds for Hurricane and Storm Damage Reduction beach renourishment projects, the community must provide public beach access and parking to satisfy peak demand. This study presents a method for estimating peak demand for beach parking spaces in the presence of parking constraints. A Tobit regression model is developed to estimate the number of parking spaces that would be necessary to meet unconstrained demand on a given percentage of peak demand days. For example, the model can be used to estimate the number of parking spaces that would be adequate to meet peak demand on 90% of peak parking days. The Tobit model provides a promising framework for estimating peak parking demand under constrained parking conditions, a situation that characterizes most beach communities.

Suggested Citation

  • Christopher F. Dumas & John C. Whitehead & James H. Herstine & Robert B. Buerger & Jeffery M. Hill, 2006. "Estimating Peak Demand for Beach Parking Spaces," Working Papers 06-05, Department of Economics, Appalachian State University.
  • Handle: RePEc:apl:wpaper:06-05

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Wilson, Richard W., 1992. "Estimating the travel and parking demand effects of employer-paid parking," Regional Science and Urban Economics, Elsevier, vol. 22(1), pages 133-145, March.
    2. Anderson, Simon P. & de Palma, Andre, 2004. "The economics of pricing parking," Journal of Urban Economics, Elsevier, vol. 55(1), pages 1-20, January.
    3. Shoup, Donald C., 1999. "The trouble with minimum parking requirements," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(7-8), pages 549-574.
    4. Willson, Richard W., 1992. "Estimating the Travel and Parking Demand Effects of Employer-Paid Parking," University of California Transportation Center, Working Papers qt37p740qt, University of California Transportation Center.
    5. Glazer, Amihai & Niskanen, Esko, 1992. "Parking fees and congestion," Regional Science and Urban Economics, Elsevier, vol. 22(1), pages 123-132, March.
    6. Merriman, David, 1998. "How many parking spaces does it take to create one additional transit passenger?," Regional Science and Urban Economics, Elsevier, vol. 28(5), pages 565-584, September.
    7. McDonald, John F & Moffitt, Robert A, 1980. "The Uses of Tobit Analysis," The Review of Economics and Statistics, MIT Press, vol. 62(2), pages 318-321, May.
    Full references (including those not matched with items on IDEAS)

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:apl:wpaper:06-05. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (O. Ashton Morgan). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.