2005
DOI: 10.3368/le.81.3.426
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Destination Choice Models for Rock Climbing in the Northeastern Alps: A Latent-Class Approach Based on Intensity of Preferences

Abstract: Rock climbers are likely to exhibit preference heterogeneity dictating the way with which such sport is practiced. This has a reflection on the population's structure of recreational values of rock-climbing destinations, their attributes, and to land management policies. We test this hypothesis on a panel of destination choices by a sample of members of the Italian Alpine Club. Using a latent-class, random utility approach we find evidence in support of the hypothesis that there are at least four classes in th… Show more

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Cited by 313 publications
(167 citation statements)
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References 33 publications
(33 reference statements)
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“…LCM is a mixed logit model with a discrete distribution of parameters, well suited to the task of considering respondents' preference heterogeneity and revealing its causes (Greene and Hensher, 2003). This approach reveals a considerable richness in the structure of preferences, supporting the hypothesis that there are latent classes, which would otherwise be unobservable (Scarpa and Thiene, 2005). Unlike continuous mixed models (such as Random Parameter Logit Models, RPL), LCM allows the grouping of individuals according to their preferences which is very useful when heterogeneous preferences are analyzed (Hess et al, 2011), especially for extracting policy implications (Hynes et al, 2008).…”
Section: Model Specification: Latent Class Modelmentioning
confidence: 99%
“…LCM is a mixed logit model with a discrete distribution of parameters, well suited to the task of considering respondents' preference heterogeneity and revealing its causes (Greene and Hensher, 2003). This approach reveals a considerable richness in the structure of preferences, supporting the hypothesis that there are latent classes, which would otherwise be unobservable (Scarpa and Thiene, 2005). Unlike continuous mixed models (such as Random Parameter Logit Models, RPL), LCM allows the grouping of individuals according to their preferences which is very useful when heterogeneous preferences are analyzed (Hess et al, 2011), especially for extracting policy implications (Hynes et al, 2008).…”
Section: Model Specification: Latent Class Modelmentioning
confidence: 99%
“…An alternative model for exploring heterogeneity in preferences and WTP across respondents is the latent class (LC) model (Pacifico and Yoo 2013, Colombo et al 2009, Scarpa and Thiene 2005, Boxall and Adamowicz 2002. This model estimates discrete sets of coefficients , which are indexed over classes .…”
Section: Identifying Determinants Of Choice Behaviour and Wtpmentioning
confidence: 99%
“…Location choice models are applied to several other different contexts, such as the choice of a departure airport (Furuichi and Koppelman;1994), the choice of a hospital for patients by general practitioner (primary care physicians) (Whynes et al;, the choice of touristic destinations (Woodside and Lysonski;1989;Um and Crompton;1990;Eymann and Ronning;Oppermann;2000;Seddighi and Theocharous;Bigano et al;2006;Chi and Qu;Gössling et al; and in particular recreational outdoor facilities (Fesenmaier;1988;Scarpa and Thiene;2005;Thiene and Scarpa;2009), the choice of migrants (Fotheringham;1986) and the optimal allocation of charging stations for electric vehicles .…”
Section: Location Choicementioning
confidence: 99%