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Estimating Peak Demand for Beach Parking Spaces

Author

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

Abstract

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
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    File URL: http://econ.appstate.edu/RePEc/pdf/wp0605.pdf
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    References listed on IDEAS

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