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Data-Driven Methodology for Coliving Spaces and Space Profiling Based on Post-Occupancy Evaluation through Digital Trail of Users

Alicia Regodon, Maxime Armand, Carmen Lastres, Jose De Pedro and Alfonso García-Santos
Additional contact information
Alicia Regodon: Department of Construction and Architectural Technology, Escuela Técnica Superior de Arquitectura de Madrid, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Maxime Armand: Urban Campus, 75002 Paris, France
Carmen Lastres: Commuty, 28014 Madrid, Spain
Jose De Pedro: Commuty, 28014 Madrid, Spain
Alfonso García-Santos: Department of Construction and Architectural Technology, Escuela Técnica Superior de Arquitectura de Madrid, Universidad Politécnica de Madrid, 28040 Madrid, Spain

Sustainability, 2021, vol. 13, issue 22, 1-24

Abstract: Sustainable spaces are those that are optimized, accessible, promote user experience and aim to reduce CO 2 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.

Keywords: coliving; COVID-19; digital trail; human-centered design; Post-Occupancy Evaluation; space profiling; sustainability; user experience (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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