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

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.