The main objective of this paper is to identify a methodology to improve decisionmaking processes both in design and in construction phases. The research starts from several studies (Feige et al., 2013; Fuerst & McAllister, 2011) developed in the definition of correlations between the energy performance of a building and its selling price on the real estate market. Developing further analysis we tried to set a different interpretation of the results obtained. In the case study that we developed in the city of Monza, we found a positive correlation between the energy class of buildings and their price. To reach these results we applied the hedonic price methodology that allows disrupting the whole market price of a building according to its characteristics. The results obtained are perfectly in accordance with past studies but trough the specific series of regression that we developed they could be read in a different way. This allowed us defining a method to understand if a decision about a specific characteristic in a building located in a specific area in the city could be profitable for the investment in terms of revenue.

Digital information and hedonic models to improve decision making processes (BIM-GIS)

PAVAN, ALBERTO;MIRARCHI, CLAUDIO
2016

Abstract

The main objective of this paper is to identify a methodology to improve decisionmaking processes both in design and in construction phases. The research starts from several studies (Feige et al., 2013; Fuerst & McAllister, 2011) developed in the definition of correlations between the energy performance of a building and its selling price on the real estate market. Developing further analysis we tried to set a different interpretation of the results obtained. In the case study that we developed in the city of Monza, we found a positive correlation between the energy class of buildings and their price. To reach these results we applied the hedonic price methodology that allows disrupting the whole market price of a building according to its characteristics. The results obtained are perfectly in accordance with past studies but trough the specific series of regression that we developed they could be read in a different way. This allowed us defining a method to understand if a decision about a specific characteristic in a building located in a specific area in the city could be profitable for the investment in terms of revenue.
Back to 4.0: Rethinking the digital construction industry
978-88-916-1807-8
Design and consultancy management, Building Information Management, hedonic price, GIS
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1000578
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