The Landscape from Home : a GIS-based hedonic price valuation
Résumé
We estimate the hedonic price of landscape seen from houses in the urban fringe of Dijon (France). The viewshed and the land cover as seen from the ground are analyzed by geographic methods from satellite images and from a digital elevation model. The landscape attributes are then used in an econometric model based on the sales of 2667 houses, which deals with endogeneity, multicollinearity, and spatial correlations. The results show that woodland and farmland in the immediate vicinity of houses have positive prices and roads a negative price when these features can be seen by an observer located on the ground, while those prices are clearly lower (or insignificant) when such features cannot be seen: the view itself matters. The arrangement of features in fragmented landscapes commands positive hedonic prices. Landscapes and objects seen more than 100-300 m away all have insignificant hedonic prices.
Domaines
Géographie| Origine | Fichiers éditeurs autorisés sur une archive ouverte |
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