Abstract
The aim of this paper is to investigate the relationship between accessibility to services and transport infrastructure and property prices. Empirical evidence shows that an increase in accessibility levels tends to result in a positive impact on property values. However, assessing this potential benefit is not straightforward.
In this research, we first clarify which are the methods mainly employed to measure accessibility to services and infrastructures; then, we build a dataset of indicators useful to define the price function. The output is the characterization of a Hedonic Pricing Model (HPM) able to evaluate the effect of accessibility on residential properties, seldom considered in estimates. Two main findings emerge from the study. The first is that an HPM should be a function not only of the traditional intrinsic and extrinsic characteristics generally used to explain property values, but also of specific accessibility indicators, distinguishing between local and system accessibility. The second is that HPM, generally based on the use of multiple regression models, fails to consider the spatial correlation that is often particularly significant for the accessibility variable. Therefore, in the case of high levels of spatial heterogeneity, regression models must be supported by spatial econometric models.
The study conducted represents a starting point for applications to real case studies that will allow to test the defined model.
G. Maselli, S. de Luca and A. Nesticò—Contributed equally to this work.
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References
Grace, R., Saberi, M.: The value of accessibility in residential property. In: Australasian Transport Research Forum 2018 Proceedings, Darwin, Australia, 30 October–1 November (2018). http://www.atrf.info. Accessed 22 Nov 2021
Hansen, W.G.: How accessibility shapes land use. J. Am. Inst. Plan. 25(2), 73–76 (1959)
Alonso, W.: Location and Land Use: Toward a General Theory of Land Rent. Harvard University Press, Cambridge (1964)
Muth, R.F.: Cities and Housing: The Spatial Pattern of Urban Residential Land Use. University of Chicago Press, Chicago (1969)
Mills, E.S.: Studies in the Structure of the Urban Economy. Johns Hopkins University Press, Baltimore (1972)
Giuliano, G., Gordon, P., Pan, Q., Park, J.: Accessibility and residential land values: some tests with new measures. Urban Stud. 47, 3103–3130 (2010)
Du, H., Mulley, C.: Relationship between transport accessibility and land value: local model approach with geographically weighted regression. Transp. Res. Rec. 1977(1), 197–205 (2006). https://doi.org/10.1177/0361198106197700123
Yuan, F., Wei, Y.D., Wu, J.: Amenity effects of urban facilities on housing prices in China: accessibility, scarcity, and urban spaces. Cities 96, 102433 (2020)
Wen, H., Zhang, Y., Zhang, L.: Assessing amenity effects of urban landscapes on housing price in Hangzhou, China. Urban For. Urban Green. 14, 1017–1026 (2015)
Wittowsky, D., Hoekveld, J., Welsch, J., Steier, M.: Residential housing prices: impact of housing characteristics, accessibility and neighbouring apartments – a case study of Dortmund, Germany, Urban. Plan. Transp. Res. 8(1), 44–70 (2020)
Chiarazzo, V., dell’Olio, L., Ibeas, A., Ottomanelli, M.: Modeling the effects of environmental impacts and accessibility on real estate prices in industrial cities. Procedia Soc. Behav. Sci. 111, 460–469 (2014). https://doi.org/10.1016/j.sbspro.2014.01.079
Nesticò, A., La Marca, M.: Urban real estate values and ecosystem disservices: an estimate model based on regression analysis. Sustainability 12(16), 6304 (2020). https://doi.org/10.3390/su12166304
Nesticò, A., Maselli, G.: Declining discount rate estimate in the long-term economic evaluation of environmental projects. J. Environ. Account. Manag. 8(1), 93–110 (2020). https://doi.org/10.5890/JEAM.2020.03.007
Dolores, L., Macchiaroli, M., De Mare, G.: A dynamic model for the financial sustainability of the restoration sponsorship. Sustainability 12(4), 1694 (2020)
Troisi, R, Castaldo, P.: Technical and organizational challenges in the risk management of road infrastructures. J. Risk Res., 1–16 (2022)
Handy, S.L., Niemeier, D.A.: Measuring accessibility: an exploration of issues and alternatives. Environ. Plan. A 29, 1175–1194 (1997)
Geurs, K., van Wee, B.: Accessibility evaluation of land-use and transport strategies: review and research directions. J. Transp. Geogr. 12, 127–140 (2004)
Cordera, R., Coppola, P., dell’Olio, L., Ibeas, Á.: The impact of accessibility by public transport on real estate values: a comparison between the cities of Rome and Santander. Transp. Res. Part A Policy Pract. 125, 308–319 (2019)
Bowes, D.R., Ihlanfeldt, K.R.: Identifying the impacts of rail transit stations on residential property values. J. Urban Econ. 50, 1–25 (2001)
Koenig, J.G.: Indicators of urban accessibility: theory and application. Transportation 9, 145–172 (1980)
Martínez, L.M., Viegas, J.M.: Effects of transportation accessibility on residential property values: hedonic price model in the Lisbon, Portugal, Metropolitan Area. Transp. Res. Rec. 2115(1), 127–137 (2009)
Ibeas, Á., Cordera, R., dell’Olio, L., Coppola, P., Dominguez, A.: Modelling transport and real-estate values interactions in urban systems. J. Transp. Geogr. 24, 370–382 (2012). https://doi.org/10.1016/j.jtrangeo.2012.04.012
Cascetta, E.: Transportation Systems Analysis: Models and Applications, 2nd edn. Springer, New York (2009). https://doi.org/10.1007/978-0-387-75857-2
Coppola, P., Nuzzolo, A.: Changing accessibility, dwelling price and the spatial distribution of socio-economic activities. Res. Transp. Econ. 31, 63–71 (2011)
Munoz-Raskin, R.: Walking accessibility to bus rapid transit: does it affect property values? The case of Bogotá, Colombia. Transp. Policy 17(2), 72–84 (2010)
Pan, H., Zhang, M.: Rail transit impacts on land use: evidence from Shanghai, China. Transp. Res. Rec. 2048, 16–25 (2008)
Yang, L., Chau, K.W., Szeto, W.Y., Cui, X., Wang, X.: Accessibility to transit, by transit, and property prices: spatially varying relationships. Transp. Res. Part D Transp. Environ. 85, 102387 (2020). https://doi.org/10.1016/j.trd.2020.102387
Lancaster, K.J.: A new approach to consumer theory. J. Polit. Econ. 74(2), 132–157 (1966)
Efthymiou, D., Antoniou, C.: Measuring the effects of transportation infrastructure on real estate prices and rents. Investigating the potential current impact of a planned metro line. EURO J. Transp. Logist. 3, 179–204 (2013)
Anselin, L.: Exploring spatial data with GeoDaTM: A workbook. Center for Spatially Integrated Social Science (2005)
Golgher, A.B., Voss, P.R.: How to interpret the coefficients of spatial models: spillovers, direct and indirect effects. Spat. Demogr. 4, 175–205 (2016)
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Maselli, G., de Luca, S., Nesticò, A. (2022). Infrastructure Accessibility Measures and Property Values. In: Calabrò, F., Della Spina, L., Piñeira Mantiñán, M.J. (eds) New Metropolitan Perspectives. NMP 2022. Lecture Notes in Networks and Systems, vol 482. Springer, Cham. https://doi.org/10.1007/978-3-031-06825-6_132
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