Advance consulting to analyze and rehabilitate obsolete housing and to return them in use as fast as possible with full guarantees after boomurbs in 2007 in Spain
The Research Group in Collective Housing, GIVCO, has developed a tool for the analysis, diagnosis and assessment of housing which has become obsolete, which allows us to design full guaranteed projects bringing them back into market.
In Spain, according to National Institute of Statistics, there are more than 3.4 millions of empty dwellings. From this, 800 000 of them result unpurchased due to 2011 construction breakdown.
Because of that, we offer that analysis through a software whose database allows us to compare the real state of any house to rehabilitate with our reference template of 60 algorithms. With this, it is possible to detect weekness wich must be improved, reducing both economical and social risks on it.
The aim of this research is to create a tool based on Big Data technologies which could help architects to analyse and design from domestic parameters on collective dwellings and contemporary users necessities. We call this application Domestic Big Data for its wide range of measurable database of collective housing projects, which makes it able to put them into specific parameters.
The graphic interface of this tool turns data into a template reference. After that, we could use this graphic template to compare with another building in order to tackle the challenge of any housing rehabilitation project.
Once implemented, and after introducing normative standards and minimum values of architectural quality, the parametric model is able to generate a quantitative assessment or rating of the potential for improvement of any particular dwelling.
“This is important for its further implementation in public or private initiatives related to renovation of the existing housing stock”
“Return the assets in housing more than 800,000 real estate stock to be inhabited again, is a necessary approach to 2015 challenge (Radiografía 2014, rental market)”
Analysis of contemporary housing from 60 algorithms that are collected into 5 main categories:
The GIVCO, from 2006, is coordinated by the accredited Professor UPM Dr. Carmen Espegel Alonso, developing 3 projects I+D+i in announcements of public competitiveness, as well as the rest of the team, mostly researchers doctors with large numbers of publications and editions of impact national and international.
Domestic Big Data Contact
Borja Sallago Zambrano, architect.
GIVCO - Grupo de Investigación en Vivienda Colectiva- UPM
Innovation, Commercialization and Entrepreneurship Area
Centre of Support for Technological Innovation – UPM