文章基本信息

标题：Applying Geographically Weighted Regression to Conjoint Analysis: Empirical Findings from Urban Park Amenities
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作者：Tanaka, Katsuya ; Yoshida, Kentaro ; Kawase, Yasushi 等
期刊名称：Journal of Agribusiness
印刷版ISSN：0738-8950
出版年度：2008
期号：suppl
出版社：Journal of Agribusiness
摘要：The objective of this study is to develop spatially-explicit choice model and investigate its validity and applicability in CA studies. This objective is achieved by applying locally-regressed geographically weighted regression (GWR) and GIS to survey data on hypothetical dogrun facilities (off-leash dog area) in urban recreational parks in Tokyo, Japan. Our results show that spatially-explicit conditional logit model developed in this study outperforms traditional model in terms of data fit and prediction accuracy. Our results also show that marginal willingness-to-pay for various attributes of dogrun facilities has significant spatial variation. Analytical procedure developed in this study can reveal spatially-varying individual preferences on attributes of urban park amenities, and facilitates area-specific decision makings in urban park planning.
关键词：Choice experiments;conjoint analysis;dogrun;geographically weighted regression;spatial econometrics