Application of Travel Cost Model to Measure Economic Value of Recreation and Tourism Resources

2001 ◽  
Vol 6 (1) ◽  
pp. 17-27
Author(s):  
K-I. Cho ◽  
I. Lee ◽  
T. Var
Oryx ◽  
2005 ◽  
Vol 39 (04) ◽  
pp. 429 ◽  
Author(s):  
Nir Becker ◽  
Moshe Inbar ◽  
Ofer Bahat ◽  
Yael Choresh ◽  
Gil Ben-Noon ◽  
...  

2021 ◽  
Vol 59 (1) ◽  
Author(s):  
Fernando Lopes ◽  
Bruno Amaral

Abstract: This study assesses the aggregated value of demand for forest recreation in the Azores using a regional travel cost model. Previous assessments of total economic value (TEV) of the Portuguese forest by Mendes (2005) and INCF (2006) consider both market services and non-market services. Non-timber benefits (NTB) such as recreation, carbon sequestration, protection of soil, and biodiversity were valued using value transfer methodologies. Forest recreation accounts for 0.65% of TEV using a unit transfer value of 2.75 Euros/per visit estimated by Loureiro and Albiac (1996). The present primary study assesses the value of forest recreation in the Azorean islands instead of a single site approach. A count data travel-cost model, taking into account characteristics of data from on-site face-to-face interviews, is used instead of contingent valuation. This study uses data from a survey of visitors to public forest parks in São Miguel, Terceira, and Pico. Visits to public forest parks are a significant component of forest recreation, attracting more than 18% of residents with an average of five trips per year. The typical visitant is male, 38 years of age, and has secondary education. Those interviewed engage in physical activities, walking and running, as well as picnics, an opportunity to meet friends and family during the summer. The profile of this summer visitors changes to a more hard engagement in running and walking activities during autumn and spring. 33% of visitors are fully satisfied with their visiting experience and the quality of public forest parks. The value of a daily visit is 13.66 euros, and the total economic value exceeds 3 million euros in all Azorean parks for 275 thousand visitors. A conservative assessment of the benefit of forest recreation is higher than the total market value of wood production.


2014 ◽  
Vol 10 (4) ◽  
pp. 442-456 ◽  
Author(s):  
I James ◽  
T Hoffman ◽  
A Munro ◽  
P O'Farell ◽  
R Smart

The travel cost method was used to estimate the economic recreational value of flower viewing at the Namaqua National Park. Demographic, time, expenditure, preference and route information was collected from interviews with 160 SA nationals who visited the park in their own car.  Visitors spent an average of $US108 on transportation and $US84 on accommodation in the region. A zonal travel cost model was developed which suggests that the economic recreational value of flower viewing at the park makes to the region is far larger than the annual net loss of $US50 000 which the park makes when only the expenses and revenue of the park are considered.


Author(s):  
Kavita Sardana ◽  
John C. Bergstrom ◽  
J. M. Bowker

Abstract We estimate a travel cost model for the George Washington & Jefferson National Forests using an On-Site Latent Class Poisson Model. We show that the constraints of ad-hoc truncation and homogenous preferences significantly impact consumer surplus estimates derived from the on-site travel cost model. By relaxing the constraints, we show that more than one class of visitors with unique preferences exists in the population. The resulting demand functions, price responsive behaviors, and consumer surplus estimates reflect differences across these classes of visitors. With heterogeneous preferences, a group of ‘local residents’ exists with a probability of 8% and, on average take 113 visits.


2020 ◽  
Vol 20 (2) ◽  
pp. 7
Author(s):  
Waldemar Mercado ◽  
Felipe Vásquez Lavín ◽  
Karina Ubillus ◽  
Carlos Enrique Orihuela

<div data-canvas-width="450.13143999999994">The aim was to determine the importance of the biodiversity on the decision to visit six Natural Parks of Peru. For this, a sample of tourists and the discrete travel cost model are used to estimate the demand of multiple places with different attributes. The results confirm that the probability of choice depends on the access routes, the biodiversity, the distance, and the cost of the trip. The effect of the biodiversity is less important than that of access routes. A conservation policy that considers these attributes will be key for the management of the biodiversity.</div>


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