Abstract
Although the presence of an urban green areas seems to be an important factor in housing decisions, there are few empirical research on the incidence of different types of urban green spaces on housing prices. With reference to a study sample of apartments located in the Flaminio district of the city of Rome (Italy), an innovative data-driven technique has been implemented. In this way, it was possible to identify, among the main explanatory variables selected by the model as the most influential in real estate price formation phenomena, those relating to green areas and analyzing the marginal contribution of each of them on selling prices. The implemented methodology has allowed to obtain a model characterized by high statistical reliability, by a simplicity and high coherence in the empirical interpretation of the functional relationships between the influencing factors selected and the housing prices. The results clearly indicate that green space is not a homogeneous environmental amenity, rather it is a series of distinct elements that has a different impact on housing prices.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abbott, J.K., Klaiber, H.A.: Is all space created equal? Uncovering the relationship between competing land uses in subdivisions. Ecol. Econ. 70(2), 296–307 (2010)
Amato, F., Tonini, M., Murgante, B., Kaneski, M.: Fuzzy definition of rural urban interface: an application based on land use change scenarios in Portugal. Environ. Model Softw. 104, 171–187 (2018)
Barbante, E., Calvo, E., Sanesi, G., Selleri, B., Verlič, A., Vilhar, U.E.D.S.: Urban and periurban forests: management, monitoring and ecosystem services. Emonfur Life + project experiences, p. 279 (2014)
Cheshire, P., Sheppard, S.: On the price of land and the value of amenities. Economica 62(246), 247–267 (1995)
Crompton, J.L.: The impact of parks on property values: a review of the empirical evidence. J. Leis. Res. 33(1), 1–31 (2001)
Crompton, J.L.: The impact of parks on property values: empirical evidence from the past two decades in the United States. Manag. Leis. 10(4), 203–218 (2005)
Czembrowski, P., Kronenberg, J.: Hedonic pricing and different urban green space types and sizes: insights into the discussion on valuing ecosystem services. Landsc. Urban Plan. 146, 11–19 (2016)
Del Giudice, V., De Paola, P., Torrieri, F.: An integrated choice model for the evaluation of urban sustainable renewal scenarios. Adv. Mater. Res. 1030–1032, 2399–2406 (2014)
Della Spina, L., Calabrò, F.: Decision support model for conservation, reuse and valorization of the historic cultural heritage. In: Gervasi, O., et al. (eds.) ICCSA 2018. LNCS, vol. 10962, pp. 3–17. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-95168-3_1
Draper, N.R., Smith, H.: Applied Regression Analysis. Wiley, Hoboken (2014)
Food and Agricolture Organization of the United Nations (FAO): COFO Side Event on “Urban Forests for Sustainable Cities”, Rome (2016)
Giustolisi, O., Savic, D.A.: A symbolic data-driven technique based on evolutionary polynomial regression. J. Hydroinform. 8(3), 207–222 (2006)
Grey, G.W., Deneke, F.J.: Urban Forestry. Wiley, Hoboken (1978)
Hendon, W.S.: The park as a determinant of property values. Am. J. Econ. Sociol. 30(3), 289–300 (1971)
Herath, S., Choumert, J., Maier, G.: The value of the greenbelt in Vienna: a spatial hedonic analysis. Ann. Reg. Sci. 54(2), 349–374 (2015)
Irwin, E.G., Bockstael, N.E.: The problem of identifying land use spillovers: measuring the effects of open space on residential property values. Am. J. Agric. Econ. 83(3), 698–704 (2001)
Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA): Definizione del metodo per la classificazione e quantificazione dei servizi ecosistemici in Italia, http://www.isprambiente.gov.it/files/biodiversita/SERVIZI_ECOSISTEMICI.pdf
Lynch, A.K., Rasmussen, D.W.: Proximity, neighbourhood and the efficacy of exclusion. Urban Stud. 41(2), 285–298 (2004)
McCord, J., McCord, M., McCluskey, W., Davis, P.T., McIlhatton, D., Haran, M.: Effect of public green space on residential property values in Belfast metropolitan area. J. Financ. Manag. Prop. Constr. 19(2), 117–137 (2014)
Morancho, A.B.: A hedonic valuation of urban green areas. Landsc. Urban Plan. 66(1), 35–41 (2003)
Morano, P., Locurcio, M., Tajani, F., Guarini, M.R.: Urban Redevelopment: A Multi-criteria Valuation Model Optimized through the Fuzzy Logic. In: Murgante, B., et al. (eds.) ICCSA 2014. LNCS, vol. 8581, pp. 161–175. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-09150-1_13
Panduro, T.E., Veie, K.L.: Classification and valuation of urban green space. A hedonic house price valuation. Lands. Urban Plan. 120, 119–128 (2013)
Sadeghian, M., Vardanyan, Z.: The benefits of urban parks, a review of urban research. J. Nov. Appl. Sci. 2(8), 231–237 (2013)
Saganeiti, L., Favale, A., Pilogallo, A., Scorza, F., Murgante, B.: Assessing urban fragmentation at regional scale using Sprinkling indexes. Sustainability 10(9), 3274 (2018)
Salbitano, F., Borelli, S., Conigliaro, M., Chen, Y.: Guidelines on urban and peri-urban forestry. FAO Forestry Paper No. 178, Rome (2016)
Sarkar, C., et al.: Exploring associations between urban green, street design and walking: results from the greater London boroughs. Landsc. Urban Plan. 143, 112–125 (2015)
Trojanek, R., Gluszak, M., Tanas, J.: The effect of urban green spaces on house prices in Warsaw. Int. J. Strat. Prop. Manag. 22(5), 358–371 (2018)
Troy, A., Grove, J.M., Grove, J.M.: Property values, parks, and crime: a hedonic analysis in Baltimore, MD. Landsc. Urban Plan. 87(3), 233–245 (2008)
Votsis, A.: Planning for green infrastructure: the spatial effects of parks, forests, and fields on Helsinki’s apartment prices. Ecol. Econ. 132, 279–289 (2017)
Zhou, X., Parves Rana, M.: Social benefits of urban green space: a conceptual framework of valuation and accessibility measurements. Manag. Environ. Qual.: Int. J. 23(2), 173–189 (2012)
Kim, H., Lee, G.E., Lee, J., Choi, Y.: Understanding the local impact of urban park plans and park typology on housing price: a case study of the Busan metropolitan region. Korea Landsc. Urban Plan. 184, 1–11 (2019)
Knetsch, J.L.: The influence of reservoir projects on land values. Am. J. Agric. Econ. 46(1), 231–243 (1964)
Koza, J.R.: Genetic Programming: on the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge (1992)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Morano, P., Guarini, M.R., Tajani, F., Di Liddo, F., Anelli, D. (2019). Incidence of Different Types of Urban Green Spaces on Property Prices. A Case Study in the Flaminio District of Rome (Italy). In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11622. Springer, Cham. https://doi.org/10.1007/978-3-030-24305-0_3
Download citation
DOI: https://doi.org/10.1007/978-3-030-24305-0_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-24304-3
Online ISBN: 978-3-030-24305-0
eBook Packages: Computer ScienceComputer Science (R0)