Valuing short term beach closure in a rum model of recreation demand using stated preference data
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Valuing Short Term Beach Closure in a RUM Model of Recreation Demand Using Stated Preference Data Stela Stefanova and George R. Parsons Camp Resources XV August 6 – 7, Wilmington, NC Acknowledgements Funded by the National Park Service

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Valuing short term beach closure in a rum model of recreation demand using stated preference data l.jpg

Valuing Short Term Beach Closure in a RUM Model of Recreation Demand Using Stated Preference Data

StelaStefanova and George R. Parsons

Camp Resources XV

August 6 – 7, Wilmington, NC


Acknowledgements l.jpg
Acknowledgements Recreation Demand Using Stated Preference Data

  • Funded by the National Park Service

  • Funded by the National Oceanic and Atmospheric Administration’s Coastal Response Research Center at the University of New Hampshire

  • Presently under consideration for a chapter in: “Preference Data for Environmental Valuation”, eds. John Whitehead, Ju-Chin Huang and Tim Haab


Outline l.jpg
Outline Recreation Demand Using Stated Preference Data

  • Motivation

  • Data

  • Padre Island National Seashore Park

  • Linked Model and Welfare

  • Our Approach to Incorporating Delayed Trips

  • Coefficient and Welfare estimates

  • Conclusion


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Motivation Recreation Demand Using Stated Preference Data

  • Random Utility Models (RUM) are well suited for valuing seasonal closures of sites

  • However, RUM are not well suited for valuing short term closures when there is substitution across time periods within the same season

  • Short term closures may have little impact on total visitation to the closed site

  • People may be delaying trips, in effect substituting across time periods


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Data Recreation Demand Using Stated Preference Data

  • 884 Texas residents living within 200 miles of the Texas Gulf Coast

  • 2692 day trips taken to 65 Texas Gulf Coast beaches between May and September, 2001

  • Limited choice set to beaches within 300 miles of residence


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Padre Island National Seashore Recreation Demand Using Stated Preference Data

Padre Island is located near Corpus Christi, Texas.

66 miles along the Texas Gulf Coast

Accessible by car, approximately 30 minutes from Corpus Christi and approximately 2.5 hours from San Antonio.

North Beach, Malaquite Beach, South Beach, Little Shell and Big Shell Beaches, Mansfield cut

14% of people visited Padre beaches - 394 trips


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A Linked Model of Site Choice and Trip Frequency Recreation Demand Using Stated Preference Data

  • Step 1: Discrete choice site selection

    • Logit

    • Mixed Logit

  • Step 2: Trip frequency

    • Negative binomial

  • Bockstael, Hanemann, and Kling. 1987.

  • Herriges, Kling, and Phaneuf. 1999.

  • Parsons, Jakus, and Tomasi. 2003.


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Beach Characteristics Recreation Demand Using Stated Preference Data


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Individual Characteristics Recreation Demand Using Stated Preference Data


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Three Measures of Welfare Loss Recreation Demand Using Stated Preference Data

  • Per trip

  • Per season

  • Loss to trip ratio


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Strategy for Incorporating Delayed Trips Using SP Recreation Demand Using Stated Preference Data

  • These welfare measures rely on RP data

  • Do not capture substitution across time periods in the case of a short term closure

  • Survey questions offered the following options in case of site closure

    • visit another site now

    • stay home now but visit the closed site later to “make up” for the lost trip

    • stay home without making up the trip later


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SP Data Recreation Demand Using Stated Preference Data


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Strategy for Incorporating Delayed Trips Using SP Recreation Demand Using Stated Preference Data

Two Models

Padre Open Model

RP data on all trips

Padre Closed Model

RP data on trips to Padre is replaced with SP data *

Trips to other sites assumed the same

* The scaling parameter on the SP choices relative to the RP choices vanishes in estimation.

Brownstone, Bunch, and Train. 2000.


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Strategy for Incorporating Delayed Trips in Welfare Measures Using SP

Padre Open (RP data)

Choice set:

Conventional Approach Our Approach

Padre Closed (RP) Padre Closed (RP/SP)

Choice set: Choice set:

non Padre sites delayed trips to Padre

Padre sites


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Strategy for Incorporating Delayed Trips in Welfare Measures Using SP

Padre Open (RP data)

Padre Utility:

Conventional Approach Our Approach

Padre Closed (RP) Padre Closed (RP/SP)

Padre Utility: Padre Utility:

0


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Strategy for Incorporating Delayed Trips in Welfare Measures Using SP

Padre Open (RP data)

Expected Utility:

Padre Closed (RP)

Padre Closed (RP/SP)


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Strategy for Incorporating Delayed Trips in Welfare Measures Using SP

Padre Closed - Conventional Approach

Padre Closed - Accounting For Delayed Trips


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Results Logit Using SP


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Results Mixed Logit Using SP

Unconstrained in Padre Closed



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Conclusion Using SP

  • Included the alternative of delaying a trip in a conventional RUM

  • Estimated losses are 72% to 77% lower when delayed trips are incorporated in the model


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References Using SP

  • Bockstael, N., W. M. Hanemann, and C. L. Kling. 1987. Estimating the Value of Water Quality Improvements in a Recreational Demand Framework. Water Resources Research 23, no. 5: 951-60.

  • Parsons, G. R., P. Jakus, and T. Tomasi. 2003. A comparison of welfare estimates from four models for linking seasonal recreational trips to multinomial models of site choice,” Journal of Environmental Economics and Management 38(2): 143-157.

  • Brownstone, D., D. S. Bunch, and K. Train. 2000. Joint mixed logit models of stated and revealed preferences for alternative fuel vehicles. Transportation Research Record B, 34.




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Step 2: Trip frequency Using SP

  • Negative binomial model



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Linked model Using SP



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