Influence of the Urban Green Spaces of Seville (Spain) on Housing Prices through the Hedonic Assessment Methodology and Geospatial Analysis

Emilio Ramírez-Juidías, José-Lázaro Amaro-Mellado () and Jorge Luis Leiva-Piedra
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Emilio Ramírez-Juidías: Instituto Universitario de Arquitectura y Ciencias de la Construcción (IUACC), Universidad de Sevilla, 2 Reina Mercedes Avenue, 41012 Seville, Spain
José-Lázaro Amaro-Mellado: Departamento de Ingeniería Gráfica, Universidad de Sevilla, 41092 Seville, Spain
Jorge Luis Leiva-Piedra: Laboratorio de Investigación en Teledetección, Universidad Tecnológica del Perú, Intersección Avenida El Progreso s/n-Vía de Evitamiento, Chiclayo 14001, Peru

Sustainability, 2022, vol. 14, issue 24, 1-15

Abstract: The city of Seville (Spain) is made up of a historical network of pre-existing city overlaps, which increase the economic and heritage value of certain urban areas. To date, green spaces are one of the most important variables in determining the economic value of housing. Thus, this paper uses the hedonic technique and geostatistical analysis with GIS as a methodological approach to infer the economic influence of urban green spaces on housing prices. Along with the traditional variables used to explain dwelling prices, the size of the green space has also been taken into account as an environmental variable affecting prices. The sample consists of 1000 observations collected from Seville. According to the findings, the most relevant variables depend on the hedonic model. Still, in general terms, a dwelling’s selling price is related to basic explanatory variables such as living area, number of rooms, age, and number of baths. The green area per inhabitant present in a dwelling’s district is also included as part of these basic explanatory variables. In conclusion, the hedonic linear model is the model that best fits housing prices where the values are similar to those obtained by kriging regardless of the district. Based on this research, each square meter of green space per inhabitant in a district raises the housing value by 120.19 €/m 2 .

Keywords: hedonic method; GIS; geospatial analysis; urban green space; housing prices (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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