The variables that influence the price formation mechanisms of urban real estate units concern both the socio-economic both the infrastructural and environmental system of the city. In literature, the links between real estate and territory are not widely investigated. This is especially with reference to the correlation levels between Real Estate Prices and the provision of urban greening. In this perspective, aim of the research is to examine functional relations between property prices, environmental factors, and socio-economic parameters. The applied methodology is based on statistical correlation analysis. This supports the construction of an innovative model for the estimation of the function that explains the dependence of property values on social and environmental factors that characterize the city. The elaborations concern data derived with the Tool i-Tree Landescape. Through Geographic Information Systems (GIS), these data are useful to obtain thematic maps illustrating the spatial distribution of Real Estate Prices, Tree Cover, and Per-Capita Income. The surveyed geographical units are the Census Blocks of Buffalo City in New York State (USA).

Real estate values, tree cover, and per-capita income: An evaluation of the interdependencies in buffalo city (ny)

Nesticò Antonio
;
2020

Abstract

The variables that influence the price formation mechanisms of urban real estate units concern both the socio-economic both the infrastructural and environmental system of the city. In literature, the links between real estate and territory are not widely investigated. This is especially with reference to the correlation levels between Real Estate Prices and the provision of urban greening. In this perspective, aim of the research is to examine functional relations between property prices, environmental factors, and socio-economic parameters. The applied methodology is based on statistical correlation analysis. This supports the construction of an innovative model for the estimation of the function that explains the dependence of property values on social and environmental factors that characterize the city. The elaborations concern data derived with the Tool i-Tree Landescape. Through Geographic Information Systems (GIS), these data are useful to obtain thematic maps illustrating the spatial distribution of Real Estate Prices, Tree Cover, and Per-Capita Income. The surveyed geographical units are the Census Blocks of Buffalo City in New York State (USA).
978-3-030-58807-6
978-3-030-58808-3
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11386/4754044
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