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Data-Driven Methodology for Coliving Spaces and Space Profiling Based on Post-Occupancy Evaluation through Digital Trail of Users
- Source :
- Sustainability, Volume 13, Issue 22, Sustainability, Vol 13, Iss 12607, p 12607 (2021)
- Publication Year :
- 2021
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2021.
-
Abstract
- Sustainable spaces are those that are optimized, accessible, promote user experience and aim to reduce CO2 emissions while enhancing users’ well-being and comfort. The purpose of this paper is to present a methodology that was developed during the COVID-19 pandemic to understand and improve the use of coliving spaces based on remote Post-Occupancy Evaluation (POE) analysis of the digital trail generated by the users. Applying the POE methodology based on data collection from IT infrastructure enabled to identify opportunities to improve the future design of human-centered spaces. The residential market, design-wise traditional for centuries, is now facing a high-speed adaptation to the changing needs, accelerated by the COVID-19 crisis. New ways of living and shared spaces like Coliving are escalating. Technology is both an enabler of this shift in housing and the solution to operating and managing these new buildings. This paper demonstrates, through the case study of a Coliving space located in Madrid, Spain, the benefits of implementing data analysis of the digital trail collected from in-built IT systems such as smart locks, Wi-Fi networks and electric consumption devices. The conclusion is that analysing the available data from the digital infrastructure of coliving buildings can enable practitioners to improve the future design of residential spaces.
- Subjects :
- digital trail
Architectural engineering
Computer science
Geography, Planning and Development
TJ807-830
Management, Monitoring, Policy and Law
TD194-195
Post-occupancy evaluation
Renewable energy sources
human-centered design
User experience design
user experience
Post-Occupancy Evaluation
Profiling (information science)
GE1-350
Adaptation (computer science)
User-centered design
Data collection
Environmental effects of industries and plants
Renewable Energy, Sustainability and the Environment
business.industry
Information technology
COVID-19
sustainability
Environmental sciences
Information technology management
business
coliving
space profiling
Subjects
Details
- Language :
- English
- ISSN :
- 20711050
- Database :
- OpenAIRE
- Journal :
- Sustainability
- Accession number :
- edsair.doi.dedup.....a4f0a857449be2138d4b682ad005674d
- Full Text :
- https://doi.org/10.3390/su132212607