A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Viewshed effects and house prices: Identifying the visibility value of the natural landscape
https://orcid.org/0000-0003-0682-672X
Highlights Automated GIS techniques are used to measure visibility value of natural landscape amenities. Spatial hedonic modeling mitigates the identification problem in viewshed studies of landscapes. Visibility of coast and natural open space add to house prices regardless of their location. Viewshed effects are sensitive to different ranges of visibility.
Abstract The visibility value of the natural landscape is a difficult concept to quantify. Using GIS techniques we create variables for measuring the visibility value of coasts and natural open areas in a spatial hedonic model of house prices. Data come from repeated house sales for the city of Haifa (Israel). As visibility of amenities often interacts with other variables such as location, we suggest approaches for dealing with this identification problem. We exploit the multi-level structure of the data to estimate spatial panel models with multi-level random effects for identifying the visibility value of natural landscapes. The estimated results show first, that visibility of coast and natural open space adds to the value of house prices regardless of their location. Second, the effect of proximity of natural landscapes on house prices is determined by the trade-off between positive and negative externalities generated by these amenities. Third, we find that viewshed effects are sensitive to different ranges of visibility.
Viewshed effects and house prices: Identifying the visibility value of the natural landscape
https://orcid.org/0000-0003-0682-672X
Highlights Automated GIS techniques are used to measure visibility value of natural landscape amenities. Spatial hedonic modeling mitigates the identification problem in viewshed studies of landscapes. Visibility of coast and natural open space add to house prices regardless of their location. Viewshed effects are sensitive to different ranges of visibility.
Abstract The visibility value of the natural landscape is a difficult concept to quantify. Using GIS techniques we create variables for measuring the visibility value of coasts and natural open areas in a spatial hedonic model of house prices. Data come from repeated house sales for the city of Haifa (Israel). As visibility of amenities often interacts with other variables such as location, we suggest approaches for dealing with this identification problem. We exploit the multi-level structure of the data to estimate spatial panel models with multi-level random effects for identifying the visibility value of natural landscapes. The estimated results show first, that visibility of coast and natural open space adds to the value of house prices regardless of their location. Second, the effect of proximity of natural landscapes on house prices is determined by the trade-off between positive and negative externalities generated by these amenities. Third, we find that viewshed effects are sensitive to different ranges of visibility.
Viewshed effects and house prices: Identifying the visibility value of the natural landscape
https://orcid.org/0000-0003-0682-672X
Highlights Automated GIS techniques are used to measure visibility value of natural landscape amenities. Spatial hedonic modeling mitigates the identification problem in viewshed studies of landscapes. Visibility of coast and natural open space add to house prices regardless of their location. Viewshed effects are sensitive to different ranges of visibility.
Abstract The visibility value of the natural landscape is a difficult concept to quantify. Using GIS techniques we create variables for measuring the visibility value of coasts and natural open areas in a spatial hedonic model of house prices. Data come from repeated house sales for the city of Haifa (Israel). As visibility of amenities often interacts with other variables such as location, we suggest approaches for dealing with this identification problem. We exploit the multi-level structure of the data to estimate spatial panel models with multi-level random effects for identifying the visibility value of natural landscapes. The estimated results show first, that visibility of coast and natural open space adds to the value of house prices regardless of their location. Second, the effect of proximity of natural landscapes on house prices is determined by the trade-off between positive and negative externalities generated by these amenities. Third, we find that viewshed effects are sensitive to different ranges of visibility.
Viewshed effects and house prices: Identifying the visibility value of the natural landscape
Dai, Xieer (author) / Felsenstein, Daniel (author) / Grinberger, A. Yair (author)
2023-06-01
Article (Journal)
Electronic Resource
English
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