2017
DOI: 10.20944/preprints201702.0032.v1
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Estimating Recreational Value of Foy's Lake: An Application of Travel Cost Count Data Model for Truncated Zeros

Abstract: Abstract:To estimate the recreational value provided by the Foy's Lake annually using the most applicable model for on-site data is the main objective of this study. Adhere to the objective of this study; Individual Travel Cost Method (ITCM) has been applied and Zero Truncated Poisson Regression Model has been found plausible among other models to estimate consumer surplus. Based on the findings of the study, an estimate of the consumer surplus or recreational benefits per trip per visitor can be recommended a… Show more

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Cited by 2 publications
(11 citation statements)
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“…The total travel cost, which comprises transportation, accommodation, and opportunity costs of time, is the fundamental explanatory variable in our ZTP model, as the model's foundation relies on the hypothesized relationship between trip frequency for recreation and travel costs as a proxy for the price of accessing the site ( Haab and McConnell, 2002 ). As hypothesized, the travel cost coefficient estimate is significant and negative, indicating an inverse relationship with the count of recreation trips ( Blayac et al, 2012 ; Alam and Hossain, 2017 ; Bigirwa et al, 2021 ; Shah and Islam, 2021 ). An indirect relationship between travel cost and trip frequency is in line with the quantity demanded and price relationships in the basic theory of consumer behavior ( Varian, 2014 ), which implies a higher travel cost results in a lower level of trips for recreation and vice versa ( Blayac et al, 2012 ; Bigirwa et al, 2021 ).…”
Section: Discussionmentioning
confidence: 73%
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“…The total travel cost, which comprises transportation, accommodation, and opportunity costs of time, is the fundamental explanatory variable in our ZTP model, as the model's foundation relies on the hypothesized relationship between trip frequency for recreation and travel costs as a proxy for the price of accessing the site ( Haab and McConnell, 2002 ). As hypothesized, the travel cost coefficient estimate is significant and negative, indicating an inverse relationship with the count of recreation trips ( Blayac et al, 2012 ; Alam and Hossain, 2017 ; Bigirwa et al, 2021 ; Shah and Islam, 2021 ). An indirect relationship between travel cost and trip frequency is in line with the quantity demanded and price relationships in the basic theory of consumer behavior ( Varian, 2014 ), which implies a higher travel cost results in a lower level of trips for recreation and vice versa ( Blayac et al, 2012 ; Bigirwa et al, 2021 ).…”
Section: Discussionmentioning
confidence: 73%
“…Based on the regression results, the T c coefficient (T c = -0.004) is a statistically significant correlate of estimated values resulting from hypothesized changes in the quality of the waterfall. Changes in the mean count of recreational trips and the annual number of visitors are also associated with these simulated changes ( Parsons , 2003 , 2013 ; Alam and Hossain, 2017 ).…”
Section: Resultsmentioning
confidence: 98%
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