Ravens Rock and the Tanawha Trail

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Ravens Rock and the Tanawha Trail

• Sarah Dochow
• Andrew May
• Callie Safley

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Purpose

• Estimate Value
• Determine Demand for the Environmental Resources
• Investigate Factors
• Permit
• Ranger Presence
• Maintenance

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(No Transcript)
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Theory

• Demand Curve
• Created by putting trips on the horizontal axis
  and the travel cost on the vertical axis
• Consumer surplus
• Region below the demand curve and above the
  average price level

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Theory

?CS
CS
TRIPS
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Method

• Random Interviews
• At or near Tanawha Trail and Ravens Rock
• Hypothetical questions used to establish shifts
  in the demand curve
• Demand curve
• Derived from interview responses
• Confirmed confidentiality
• Made results available if requested

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Data

• Sample size 38 people
• Average Number of Trips to Tanawha Trail
• 3.13 0.67
• Average Number of Trips to Ravens Rock
• 1.907 0.464

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Data (cont.)

• Average Willingness to Pay for hiking permit
• 7.59
• SD 10.81
• Average Travel Cost (.36roundtrip distance)
• 79.08
• SD 113.76

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Data (cont.)

• 63 were male participants
• Average Education level was 3.5 years of college
• Average age was 34
• 74 were willing to pay for a permit

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Statistical Results

• We took the natural log of RP-trips and add one
  to get the values for the horizontal axis
  ln(trips1)
• We had travel cost on the vertical axis
  calculated by (.36roundtrip distance)
• We had three possible demand shifters but only
  one was statistically significant at the 92
  level (1-pvalue) (1-.08).92

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Demand Model
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Demand Model
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Consumer Surplus

• Consumer Surplus
• Semi-log x/b where x Number of Trips, b
  travel cost coefficient
• b -.0015
• Number of trips to Ravens Rock x 1.908 CS
  1.908/.0015 1272
• Number of trips to Ravens Rock with the quality
  improvement ?x 1.36 ?CS 1.36/.0015 908

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Aggregate CS

• Individual ?CS 908
• Population of 5 counties 903,568
• We assume that 5 are hikers (Outdoor Recreation
  Participation Study)
• Aggregate ?CS 41,021,987.2

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Analysis

• Major Factor
• People are more concerned with trail maintenance
  than costs
• Bias
• People live in these locations due to the fact
  that they enjoy activities, like hiking
• Improvement for further Research
• Larger sample size
• More diversity among survey participants