Real-estate's market values estimation based on official data retrieved from the OMI database provided by the Italian Revenue Agency (Agenzia delle Entrate) and combined with building footprints from DBSN database.
This repository exploits the OMI national-scale open access database (which stands for Osservatorio Mercato Immobiliare – real estate market observatory), togheter with the DBSN database containing territorial information including buildings footprints and categories. The OMI database is managed and updated every six months by the National Revenue Agency under the Italian Ministry of Economy and Finance. The OMI dataset encompasses comprehensive information regarding the minimum and maximum market values for various building typologies, expressed in euros per square metre. These data are aggregated at the municipality level and further stratified into smaller subdivisions, known as ‘OMI zones’, within the respective municipality. Categories of use from the DBSN database are linked to typologies from OMI zones, and the respective economic values were associated according to the location and type of buildings.
The published work can be found here: https://doi.org/10.1080/19475705.2023.2275541
Please cite our work in case you decide to use our codes: Mastrantoni, G., Masciulli, C., Marini, R., Esposito, C., Scarascia Mugnozza, G., & Mazzanti, P. (2023). A novel model for multi-risk ranking of buildings at city level based on open data: the test site of Rome, Italy. Geomatics, Natural Hazards and Risk, 14(1). https://doi.org/10.1080/19475705.2023.2275541
Derive the official real-estate market value of urban assets based on official italian databases.
Rome, capital of Italy, offers a diverse geological setting with both soft soil areas and rock masses. This case study allows us to examine how building market values vary across Roman districts.
This project is licensed under the MIT License - see the LICENSE.md file for details.
Please cite the published work when using this repository https://doi.org/10.1080/19475705.2023.2275541
Giandomenico Mastrantoni - giandomenico.mastrantoni@uniroma1.it
Project Link: https://github.com/gmastrantoni/Estimating-Asset-Market-Values-of-Italy