Congestion management in protected areas: accounting for respondents’ inattention and preference heterogeneity in stated choice data

Thiene, Mara and Franceschinis, Cristiano and Scarpa, Riccardo,(September 2018), Congestion management in protected areas: accounting for respondents’ inattention and preference heterogeneity in stated choice data. , European Review of Agricultural Economics, UNSPECIFIED

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Abstract

Congestion levels in protected areas can be predicted by destination choice models estimated from choice data. There is growing evidence of subjects’ inattention to attributes in choice experiments. We estimate an attribute non-attendance latent class–random parameters model (LC–RPL) that jointly handles inattention and preference heterogeneity. We use data from a choice experiment designed to elicit visitors’ preferences towards sustainable management of a protected area in the Italian Alps. Results show that the LC–RPL model produces improvements in model fit and reductions in the implied rate of inattention, as compared to traditional approaches. Implications of results for park management authorities are discussed.
Keywords : attribute non-attendance, outdoor recreation, discrete choice modelling, latent class–random parameters model, UNSPECIFIED
Journal or Publication Title: European Review of Agricultural Economics
Volume: UNSPECIFIED
Number: UNSPECIFIED
Item Type: Article
Subjects: Akuntansi
Depositing User: Gunawan Gunawan
Date Deposited: 20 Dec 2019 01:19
Last Modified: 20 Dec 2019 01:35
URI: https://repofeb.undip.ac.id/id/eprint/489

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