Applying Geographically Weighted Regression to Conjoint Analysis: Empirical Findings from Urban Park Amenities
| dc.creator | Tanaka, Katsuya | |
| dc.creator | Yoshida, Kentaro | |
| dc.creator | Kawase, Yasushi | |
| dc.date | 2017-04-01T19:49:24Z | |
| dc.date.accessioned | 2026-07-09T02:47:12Z | |
| dc.description | 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. | |
| dc.identifier | doi:10.22004/ag.econ.6233 | |
| dc.identifier | https://ageconsearch.umn.edu/record/6233/files/470056.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/6233 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/519987 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/6233 | |
| dc.title | Applying Geographically Weighted Regression to Conjoint Analysis: Empirical Findings from Urban Park Amenities | |
| dc.type | Text |