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

Thiene, M.; Franceschinis, C.; Scarpa, R.

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.

Citation

Thiene, M., Franceschinis, C., & Scarpa, R. (2019). Congestion management in protected areas: accounting for respondents’ inattention and preference heterogeneity in stated choice data. European Review of Agricultural Economics, 46(5), 834-861. https://doi.org/10.1093/erae/jby041

• Journal Article Type: Article
• Acceptance Date: Oct 4, 2018
• Online Publication Date: Nov 17, 2018
• Publication Date: Dec 31, 2019
• Deposit Date: Sep 26, 2018
• Publicly Available Date: Nov 17, 2020
• Journal: European Review of Agricultural Economics
• Print ISSN: 0165-1587
• Electronic ISSN: 1464-3618
• Publisher: Oxford University Press
• Peer Reviewed: Peer Reviewed
• Volume: 46
• Issue: 5
• Pages: 834-861
• DOI: https://doi.org/10.1093/erae/jby041
• Public URL: https://durham-repository.worktribe.com/output/1313382