A quantitative approach to the visual evaluation of landscape
Daniel Joly
(1)
,
Thierry Brossard
(1)
,
Jean Cavailhès
(2)
,
Mohamed Hilal
(2)
,
François-Pierre Tourneux
(3, 1)
,
Céline Tritz
(4)
,
Pierre Wavresky
(2)
1
ThéMA -
Théoriser et modéliser pour aménager (UMR 6049)
2 CESAER - Centre d'Economie et de Sociologie Rurales Appliquées à l'Agriculture et aux Espaces Ruraux
3 MSHE - Maison des Sciences de l'Homme et de l'Environnement Claude Nicolas Ledoux (UAR 3124)
4 PACTE - Pacte, Laboratoire de sciences sociales
2 CESAER - Centre d'Economie et de Sociologie Rurales Appliquées à l'Agriculture et aux Espaces Ruraux
3 MSHE - Maison des Sciences de l'Homme et de l'Environnement Claude Nicolas Ledoux (UAR 3124)
4 PACTE - Pacte, Laboratoire de sciences sociales
Mohamed Hilal
- Fonction : Auteur
- PersonId : 735554
- IdHAL : mohamed-hilal
- ORCID : 0000-0001-7679-7026
Pierre Wavresky
- Fonction : Auteur
- PersonId : 737049
- IdHAL : pierre-wavresky
- IdRef : 243459300
Résumé
A method for describing landscape in the countryside and evaluating its impact on the real-estate market is suggested. Four databases with different resolutions (7, 30, 150, and 1,000 m) are used to simulate the visual properties of landscape in the depth of the field of view. The databases, comprising digital elevation models and land use images, are processed by a raster geographical information system. A model that simulates the relationship of visibility among all the points in a given space is devised and used to produce variables that are taken as explanatory variables in a hedonic regression. On this basis, the significant contribution of several landscape features to housing prices is estimated and then mapped. The study area is located in the urban fringe of Dijon (France). A total of 4,352 houses with known price, position, and landscape amenities provide the information for calibrating the hedonic model. The results confirm that landscape amenities influence house prices. Landscapes and visible features more than 100 to 200 m away all have insignificant hedonic prices. In this study area, forests and farmland in the immediate vicinity of houses have positive prices, whereas roads have negative ones.
Domaines
GéographieFormat du dépôt | Notice |
---|---|
Type de dépôt | Article dans une revue |
Titre |
en
A quantitative approach to the visual evaluation of landscape
|
Résumé |
en
A method for describing landscape in the countryside and evaluating its impact on the real-estate market is suggested. Four databases with different resolutions (7, 30, 150, and 1,000 m) are used to simulate the visual properties of landscape in the depth of the field of view. The databases, comprising digital elevation models and land use images, are processed by a raster geographical information system. A model that simulates the relationship of visibility among all the points in a given space is devised and used to produce variables that are taken as explanatory variables in a hedonic regression. On this basis, the significant contribution of several landscape features to housing prices is estimated and then mapped. The study area is located in the urban fringe of Dijon (France). A total of 4,352 houses with known price, position, and landscape amenities provide the information for calibrating the hedonic model. The results confirm that landscape amenities influence house prices. Landscapes and visible features more than 100 to 200 m away all have insignificant hedonic prices. In this study area, forests and farmland in the immediate vicinity of houses have positive prices, whereas roads have negative ones.
|
Auteur(s) |
Daniel Joly
1
, Thierry Brossard
1
, Jean Cavailhès
2
, Mohamed Hilal
2
, François-Pierre Tourneux
3, 1
, Céline Tritz
4
, Pierre Wavresky
2
1
ThéMA -
Théoriser et modéliser pour aménager (UMR 6049)
( 812 )
- 32 Rue Megevand 25030 BESANCON CEDEX
- France
2
CESAER -
Centre d'Economie et de Sociologie Rurales Appliquées à l'Agriculture et aux Espaces Ruraux
( 1005266 )
- France
3
MSHE -
Maison des Sciences de l'Homme et de l'Environnement Claude Nicolas Ledoux (UAR 3124)
( 2228 )
- 32-36, rue Mégevand 25030 BESANCON CEDEX
- France
4
PACTE -
Pacte, Laboratoire de sciences sociales
( 675 )
- Siège : IEP - BP 48 38040 Grenoble cedex 9
- France
|
Langue du document |
Anglais
|
Comité de lecture |
Oui
|
Vulgarisation |
Non
|
Nom de la revue |
|
Audience |
Internationale
|
Date de publication |
2009
|
Volume |
99
|
Numéro |
2
|
Page/Identifiant |
292-308
|
Localisation géographique du document |
UMR 1041 UMR INRA / ENESAD : Centre d'Economie et de Sociologie Rurales Appliquées à l'Agriculture et aux Espaces Ruraux, Centre de recherche de Dijon, 21079 DIJON CEDEX, FRA
|
Public visé |
Scientifique
|
Voir aussi |
|
Indexation contrôlée |
|
Domaine(s) |
|
Mots-clés |
it
GIS, economic evaluation, intervisibility, landscape modeling
|
DOI | 10.1080/00045600802708473 |
ProdINRA | 28394 |
UT key WOS | 000265287300004 |
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