A Nonparametric Test of the Traditional Travel Cost Model

The traditional travel cost model operates on the assumption that choices are made regarding the number of trips to various sites over an entire recreation season. This paper uses actual recreation data to test the consistency of this model with postulates of rational economic choice as embodied in the axioms of revealed preference. The paper assumes consumer rationality and examines the effects of alternative trip prices and model structures on the degree of consistency between them and the axioms of choice. Using tests developed by Varian and Tsur, the authors find that site choices at prices proxied by travel costs for most individuals in the sample violate the axioms. The violations are quite large when time costs, both in traveling and on-site, are omitted from the prices. When they are included, violations are almost as numerous, but not as large. The paper also examines demand heterogeneity by stratifying the sample and repeating the nonparametric tests. These findings suggest caution be used in interpreting welfare measures derived from traditional travel cost models, especially those that do not include measures of time value. The authors' approach provides a method for screening travel cost data and preparing for model selection and estimation.     

Does ignoring multidestination trips in the travel cost method cause a systematic bias?

The present paper demonstrates that treating multidestination trips (MDT) as single-destination trips does not involve any systematic upward or downward bias in consumer surplus (CS) estimates because the direct negative effect of a price increase (treating MDT as a single-destination trip) is offset by a shift in the estimated demand curve. Still, ignoring MDT can greatly underestimate or overestimate the CS. In addition, we demonstrate that there is a sound theoretical basis for using preference information for allocating travel costs between different sites included in the MDT package. A novel extreme value approach is proposed, which does not require any overly restrictive assumptions about consumer preferences. This approach is applied to the zonal travel cost model of the Bellenden Ker National Park, Australia. Parametric and non-parametric estimation techniques are used for calculating CS estimates, and the effects of different MDT treatments and estimation methods are compared.     

Modelling Determinants of Participation,Number of Trips and Site Choice for Outdoor Recreation in Protected Areas

This is a study on demand for outdoor recreation in a national system of environmentally protected areas. The exercise is based on a nationwide survey carried out in 1996 from a stratified random sample of 5,574 Italian households. Data on socio‐economic characteristics and recreational choice behaviour of respondents were collected and this information was supplemented by a second data‐base containing information on 193 Italian EPAs in order to characterise the different outdoor destinations on the basis of their recreational attributes. These data sets are used here to model choices of outdoor recreation within environmentally protected areas, using a sequence of three different models: (i) a dichotomous choice logit model for the probability of participation conditional on household covariates; (ii) a count data Poisson model to estimate the household's expected number of trips per year; (iii) a conditional logit model to estimate the probability of site selection conditional on site attributes. We report the estimated per‐trip welfare changes derivable from an actual policy proposal which would extend the area under environmental protection by ten per cent.     

Modelling recreation demand with respondent-reported driving cost and stated cost of travel time: A Finnish case

As the price of recreational visits is unobservable and commonly represented by researcher-assigned travel cost estimates, welfare change estimates generated by the travel cost method are ordinally measurable (Randall, 1994). For a potential solution to the resulting calibration problem we use respondent-reported driving costs and the stated cost of travel time, measured by willingness to pay to reduce travel time, to represent the individual trip price. On-site data from a hiking area in Finland are used. After considering visitors’ perceptions of driving cost and travel time, models with individual driving costs and stated cost of travel time are compared to standard specifications based on a uniform rate of driving cost and wage-based time cost. The use of respondent-reported driving costs appears to be a working approach for calibrating the benefit measures. The stated cost of time was logically related to visitor and trip characteristics and had plausible effects on benefit estimates.     

Participation, Trip Frequency and Site Choice: A Multinomial-Poisson Hurdle Model of Recreation Demand

Data used in recreation demand modeling are characterized by the facts that trip frequencies are non-negative integers and that consumers are often faced with alternative destinations. This paper considers these features by estimating a multivariate recreation demand model that accounts for trip frequency and choice among alternative recreation sites using a mixed multinomial-Poisson hurdle distribution. The specification of the Poisson hurdle distribution at the aggregate level accounts for participation and trip frequency, and avoids the restrictive mean-variance property of the basic Poisson model. The model is estimated using data from Bighorn sheep hunters in Alberta, Canada. Simulation results suggest that changing price and quality variables cause substitution among sites. The welfare implications of changes in these variables are also examined.     

Estimating the environmental effects and recreational benefits of cultivated flower land for environmental quality improvement in Taiwan

The main purpose of this study is to measure environmental effects and recreational benefits under different hypothetical scenarios program, involving quality improvement in Tien‐Wei Highway Garden, which is the biggest cultivated flower land in Taiwan. The contingent behavior model was adopted. The data combined actual number of trips under current quality of environment combined and the intended number of trips for expected scenarios of environmental quality improvement and congestion mitigation. For the empirical model, on‐site Poisson model was performed to correct truncated and endogenous stratification issues from on‐site surveys. The results show that the estimated average consumer surplus is greater in contingent behavior method than the one in the traditional travel cost model. Also, the estimated recreational benefits in contingent behavior method are more precise than those in the traditional travel cost method. The environment benefits to consumers are communicated with the programs that changes in environment quality. Meanwhile, the incremental economic benefits comprise the gain associated with the improvement of environmental quality.     

Valuing Australian botanic collections: a combined travel‐cost and contingent valuation study*

Economic values of biological collections in three Australian botanic gardens in Canberra, Melbourne and Sydney were estimated using the travel‐cost method (TCM) and the contingent valuation method (CVM). The TCM component of the study produced average per‐trip consumer surplus (CS) values of $39 and $18 for single‐ and multiple‐site visitors, respectively, for each botanic garden, resulting in an estimate of approximately $194 million for the total social welfare generated by trips to the three sites. Marginal willingness to pay (WTP) for access to botanic gardens was also investigated through payment vehicles of entry fees or higher parking charges using the CVM component. The analysis revealed a positive mean WTP of between $3 and $5 per trip per person. The difference between the CVM and TCM results reflect the different underlying concepts of value under investigation: average CS per visit for the TCM and the utility arising from a marginal visit for the CVM. Marginal changes in CS from the TCM were derived. The confidence intervals from the TCM marginal values overlap the WTP estimates from the CVM. These findings will be useful for resource management decisions in the botanic gardens collection in Australia.     

The efficiency of the Environmental Management Charge in the Cairns management area of the Great Barrier Reef Marine Park*

Using data from a survey of more than 1000 domestic visitors to the Northern section of the Great Barrier Reef (GBR) – predominantly those travelling on live‐aboard dive boats – this research investigates the (tax) efficiency of the Environmental Management Charge (EMC). The travel cost method (with a zero truncated negative binomial specification) is used to estimate the price elasticity of demand, and those estimates are used to estimate the deadweight losses, the losses in visitor numbers that could be ‘blamed’ on the EMC and the associated taxation revenues for different types of trips. The welfare loss for each dollar of revenue raised from the EMC was estimated at less than one per cent for each type of trip considered. The analysis therefore suggests that, for these types of trips in this part of the reef at least, the EMC is a very efficient tax – particularly when compared with other taxes. This has important implications beyond the GBR, particularly in countries who struggle to find sufficient funds to properly manage world heritage areas: taxes such as these may be a relatively efficient and equitable means of collecting such revenues.     

Recreation Nonparticipation as Choice Behavior Rather Than Statistical Outcome

In recreation demand models nonparticipation is usually estimated as the probability mass on zero demand given a positive level of expected demand and a discrete distribution of demand outcomes. Researchers have attempted to improve predictions of nonparticipation by modifying the parameters of the demand distribution. This study departs from previous approaches by explicitly incorporating nonparticipation into the behavioral model. The choice to participate is described by a distribution of preferences combined with a choke price on individual demands to distinguish participants from nonparticipants. The model is found to accurately predict nonparticipation and the size of the user group.     

The Travel Cost Method: an Empirical Investigation of Randall's Difficulty

Randall (1994) argued that the Travel Cost Method (TCM) cannot generate monetary measures of recreation site benefits for use in Cost Benefit Analysis. Randall argues that what is relevant to recreational decision-making is the subjective, and unobservable, price of travel, whereas TCM uses the observer-assessed cost of travel. Hence, TCM can at best give ordinally measurable welfare estimates. 'Randall's Difficulty' is formulated as an estimation problem and results are derived for that problem. The meaning of, prospects for, and usefulness of ordinal measurement are explored, and the existence of a solution to Randall's Difficulty is considered.     

Convergent validity between revealed and stated recreation demand data: Some empirical evidence from the Basque Country,Spain

In a travel cost exercise, reported past visits to mount Jaizkibel, a natural area located in the Basque Country (Spain), are compared for convergent validity to stated intended future trips under the assumption that the natural resource's conditions will remain the same. In line with the results obtained by other studies, the empirical evidence of this application suggests that revealed preferences (RP) and stated preferences (SP) do not produce consistent data, i.e. do not achieve convergent validity. The paper deals with the convergent validity literature in continuous-choice studies by using two-staged count data models for recreation demand. Differences in preference structures and welfare estimates are tested assuming both common and different data generating processes for the RP and SP data.     

Testing for convergent validity between travel cost and contingent valuation estimates of recreation values in the Coorong,Australia*

A number of studies valuing recreation have shown that the travel cost method (TCM) generates higher estimates of value than the contingent valuation method (CVM), even though the latter is commonly associated with potential problems of hypothetical and strategic bias. In this study, both methods have been used to estimate the recreational values associated with the Coorong on the Murray River in south‐eastern Australia. Values per adult visitor per recreation day are estimated with the TCM at $149 and with the CVM at $116. A number of methodological and framing issues to explain these value differences are tested. In summary, while no single methodological or framing issue could be identified that would reconcile the difference between TCM and CVM values, it appears likely that there may be a combination of factors that drive the systematic variations in consumer surplus values. The evidence in this study suggests that the most important of these are likely to be the different decision points underpinning data collection and the consideration of substitute sites, strategic responses and the treatment of uncertain responses within the CVM.     

Effects of Great Barrier Reef degradation on recreational reef‐trip demand: a contingent behaviour approach*

There is a growing concern that increased nutrient and sediment runoff from river catchments are a potential source of coral reef degradation. Degradation of reefs may affect the number of tourists visiting the reef and, consequently, the economic sectors that rely on healthy reefs for their income generation. This study uses a contingent behaviour approach to estimate the effect of reef degradation on demand for recreational dive and snorkel trips, for a case study of the Great Barrier Reef in Australia. Results from a negative binomial random effects panel model show that the consumer surplus current reef visitors derive from a diving or snorkelling trip is approximately A$185 per trip. Furthermore, results indicate that reef trips by divers and snorkellers could go down by as much as 80 per cent given a hypothetical decrease in coral and fish biodiversity. This corresponds to a decrease in tourism expenditure by divers and snorkellers on full‐day reef trips in the Cairns management area of the Great Barrier Reef Marine Park of about A$103 million per year.     

Estimating values for recreational fishing at freshwater dams in Queensland*

In this paper, estimates of value for recreational fishing are reported for three major freshwater impoundments in Queensland, Australia, using both travel cost and contingent valuation methods. Policy analysts often require estimates of value when analysing the importance of recreation against other uses of impoundments, or when considering the potential for further investments, such as with fish stocking programs. Different forms of the travel cost method are used to estimate separate consumer surpluses associated with two key subgroups of recreational anglers: frequent and occasional anglers. A contingent valuation study is used to estimate the marginal values associated with a potential improvement in fishing experience. The results of the travel cost analysis provide strong evidence that recreational values vary between different groups of anglers and across sites, while the contingent valuation estimates provide values for additional marginal benefits of recreational angling.     

Estimating Recreational User Counts

This article outlines a methodology for estimating the number of individual visitors to a set of recreational sites, as well as counts of specific visitor groups. The model is designed for sets of sites characterized by: ( a ) unrestricted recreation from a wide and partially unknown geographic market; ( b ) individuals who may visit more than one site; ( c ) accurate visitation (gate) counts from each site. The model provides consistent estimates of the total number of individual visitors, based on information embedded in site-level count and survey data. Monte Carlo analysis and an empirical application illustrate the properties of visitor count estimates.     

Testing convergent validity in choice experiments: Application to public recreation in Spanish stone pine and cork oak forests

We perform two convergent validity tests in a choice experiment applied to public recreation in Spanish stone pine and cork oak forests. Results show convergent validity between a choice and a ranking recoded as a choice format in an experiment with three alternatives plus status quo. We also find significant differences between two payment vehicles (increased trip expenditures and entrance fee) that are included simultaneously in the choice sets. We estimate aggregated recreation values using compensating variation and simulated exchange value (maximum benefits from a potential market) measures. The latter measures account for 35–51% of the former values.     

VALUING RURAL RECREATION BENEFITS: AN EMPIRICAL COMPARISON OF TWO APPROACHES

Two methodologies for valuing non-market benefits (contingent valuation and the travel cost method) are briefly described. Both are then applied to the problem of valuing non-market recreation benefits derived by visitors to a part of the Queen Elizabeth Forest Park in Central Scotland. Results, in terms of consumer surplus estimates, are presented for each method, and problem areas found in applying the two methodologies are pointed out.     

Willingness to Pay for Rural Landscape Improvements: Combining Mixed Logit and Random‐Effects Models

This paper reports the findings from a discrete‐choice experiment designed to estimate the economic benefits associated with rural landscape improvements in Ireland. Using a mixed logit model, the panel nature of the dataset is exploited to retrieve willingness‐to‐pay values for every individual in the sample. This departs from customary approaches in which the willingness‐to‐pay estimates are normally expressed as measures of central tendency of an a priori distribution. Random‐effects models for panel data are subsequently used to identify the determinants of the individual‐specific willingness‐to‐pay estimates. In comparison with the standard methods used to incorporate individual‐specific variables into the analysis of discrete‐choice experiments, the analytical approach outlined in this paper is shown to add considerable explanatory power to the welfare estimates.     

The Economic Value of Lottery-rationed Recreational Hunting

Lottery-rationed permit systems are used to allocate hunting opportunities where demand for permits exceeds the ability of the animal populations to sustain hunting harvest levels. Attempts to estimate the values of lottery-rationed hunting use a zonal travel cost model where applications per capita formed the dependent variable and expected travel costs represent the price variable. This paper reexamines this analysis using a discrete choice travel cost model which incorporates the expectation of receiving a permit. This model is developed for lottery-rationed antelope hunting in Alberta. Choice in the lottery-rationed hunting context involves selecting one site from a set defined through management regulations. The discrete choice travel cost model is proposed as superior to the early models because it better represents this behavioral process. Les systèmes de permis tirés par loterie sont utilisés pour l'attribution des possibilités de chasse dans des situations où la demande dépasse la capacité des populations de gibier à soutenir les niveaux annuels de prélèvement. Les tentatives antérieures pour estimer les valeurs des permis de chasse tirés par loterie utilisaient généralement un modèle de coût de déplacement par zone, dans lequel le nombre de demandes par habitant était la variable dépendante et les coûts de déplacement attendus représentaient la variable prix. Dans la présente étude, l'auteur a repris cette analyse en utilisant un modèle de coût de déplacement à choix discret, qui tient compte de l'espérance du chasseur de recevoir un permis. Le modèle est appliquéà la chasse à l'antilope d'Amérique en Alberta. Dans le contexte des permis de chasse tirés par loterie, le choix consiste à miser sur un des territoires énumérés sur une liste établie par les services de réglementation de la chasse. L'avantage du modèle de coût de déplacement avec choix discret sur les modèles antérieurs est qu'il tient mieux compte de ce processus de comportement.