Modelling Recreation Demand Using Choice Experiments: Climbing in Scotland

By N. Hanley, Robert E. Wright, Gary Koop. 2002

273 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Decision Sciences, Transportation

View Paper: https://www.semanticscholar.org/paper/c66dcf02b2c3750fd19809a1ee74fed00519c1ed

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Citations in the corpus

Not bored yet – revisiting respondent fatigue in stated choice experiments (2012, result): “Hanley et al (2002) found no significant differences between the results for respondents who faced four tasks and the results for respondents who faced eight tasks in a five-attribute, two-alternative experiment.”
Valuing enhancements to forest recreation using choice experiment and contingent behaviour methods (2007, background): “welfare estimates could be obtained once this variable had been converted from miles into out-of- pocket travel costs ( Hanley et al., 2002 ).”
Modeling preference heterogeneity in stated choice data: an analysis for public goods generated by agriculture (2009, background): “Recent applications of the model extend over the fields of transportation (Hensher, 2001; Amador et. al, 2005), consumer choice (Revelt and Train, 1998), recreation (Train, 1998; Hanley et al. 2002 ), health (Personn, 2002) and waste management (Layton 2000).”
The first time is the hardest: A test of ordering effects in choice experiments (2012, background): “sample tests (see, e.g., Carlsson and Martinsson 2001; Hanley et al. 2002).”
Latent class structures: taste heterogeneity and beyond (2014, methodology): “…as well as on the discussions in Greene and Hensher (2003), and complements a substantial body of empirical comparisons between the structures, for example in Andrews et al. (2002); Hanley et al. (2002); Greene and Hensher (2003); Scarpa et al. (2005); Provencher and Bishop (2004); Shen (2009).”
Designs with a priori information for nonmarket valuation with choice experiments: A Monte Carlo study (2007, methodology): “[32] 6 2þ sq 4=8 Fractional factorial MNL NL 267 (ERE) ð426Þ Foster and Mourato[24] 5 2þ sq Fractional factorial MNL RPL 290 (ERE) (SPEED software) Horne and Petäjistö [35] 5 2þ sq 4=8 Fractional factorial MNL 1296 (LE) ð42Þ Scarpa et al.”
Spatial preference heterogeneity in forest recreation (2013, methodology): “Furthermore, the problem of endogenous attribute levels can be avoided (Hanley et al., 2002; von Haefen and Phaneuf, 2008; Whitehead et al., 2008).”
An evaluation of monetary and non-monetary techniques for assessing the importance of biodiversity and ecosystem services to people in countries with developing economies (2012, methodology): “In the travel cost method, data on the costs of travel to a natural resource are used to evaluate the recreational benefits of that resource (Clawson, 1959; Hanley et al., 2002).”
Preferences for urban green spaces and peri-urban forests: An analysis of stated residential choices (2016, methodology): “Nevertheless, pioneered by Adamowicz, Louviere, and Williams (1994), the CE method is an appropriate and widelyused approach in the valuation of the environment and amenities (e.g., Hanley, Wright, and Koop, 2002).”
The value of green walls to urban biodiversity (2017, background): “In general, high complexity can negatively influence the validity and reliability of estimates (Hanley et al., 2002) and has been attributed to the current limited use of CEs in day-to-day decision making, particularly at a local planning level (Broekx et al., 2013).”