Data-Driven Methodology for Coliving Spaces and Space Profiling Based on Post-Occupancy Evaluation through Digital Trail of Users
| Autor: | Carmen Lastres, Maxime Armand, Alfonso Garcia-Santos, Jose De Pedro, Alicia Regodon |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
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 |
| Zdroj: | Sustainability Volume 13 Issue 22 Sustainability, Vol 13, Iss 12607, p 12607 (2021) |
| ISSN: | 2071-1050 |
| DOI: | 10.3390/su132212607 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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