Cookies

We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.


Durham Research Online
You are in:

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

Thiene, M. and Franceschinis, C. and 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). pp. 834-861.

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.

Item Type:Article
Full text:(AM) Accepted Manuscript
Download PDF
(2382Kb)
Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1093/erae/jby041
Publisher statement:This is a pre-copyedited, author-produced version of an article accepted for publication in European Review Of Agricultural Economics following peer review. The version of record 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 is available online at: https://doi.org/10.1093/erae/jby041
Date accepted:04 October 2018
Date deposited:26 September 2018
Date of first online publication:17 November 2018
Date first made open access:17 November 2020

Save or Share this output

Export:
Export
Look up in GoogleScholar