Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Real estate market and building energy performance: Data for a mass appraisal approach
Mass appraisal is widely considered an advanced frontier in the real estate valuation field. Performing mass appraisal entails the need to get access to base information conveyed by a large amount of transactions, such as prices and property features. Due to the lack of transparency of many Italian real estate market segments, our survey has been addressed to gather data from residential property advertisements. The dataset specifically focuses on property offer prices and dwelling energy efficiency. The latter refers to the label expressed and exhibited by the energy performance certificate. Moreover, data are georeferenced with the highest possible accuracy: at the neighborhood level for a 76.8% of cases, at street or building number level for the remaining 232%. Data are related to the analysis performed in Bonifaci and Copiello [1] about the relationship between house prices and building energy performance, that is to say, the willingness to pay in order to benefit from more efficient dwellings.
Real estate market and building energy performance: Data for a mass appraisal approach
Mass appraisal is widely considered an advanced frontier in the real estate valuation field. Performing mass appraisal entails the need to get access to base information conveyed by a large amount of transactions, such as prices and property features. Due to the lack of transparency of many Italian real estate market segments, our survey has been addressed to gather data from residential property advertisements. The dataset specifically focuses on property offer prices and dwelling energy efficiency. The latter refers to the label expressed and exhibited by the energy performance certificate. Moreover, data are georeferenced with the highest possible accuracy: at the neighborhood level for a 76.8% of cases, at street or building number level for the remaining 232%. Data are related to the analysis performed in Bonifaci and Copiello [1] about the relationship between house prices and building energy performance, that is to say, the willingness to pay in order to benefit from more efficient dwellings.
Real estate market and building energy performance: Data for a mass appraisal approach
Bonifaci, Pietro (Autor:in) / Copiello, Sergio (Autor:in) / Bonifaci, Pietro / Copiello, Sergio
01.01.2015
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC:
690
| DataCite | 2024
Neural networks for the mass appraisal of real estate
| Elsevier | 1993
Neural networks for the mass appraisal of real estate
| Online Contents | 1993