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

Sustainable spaces are those that are optimized, accessible, promote user experience and aim to reduce CO<sub>2</sub> 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 understa...

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Autores principales:	Alicia Regodon, Maxime Armand, Carmen Lastres, Jose De Pedro, Alfonso García-Santos
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	coliving COVID-19 digital trail human-centered design Post-Occupancy Evaluation space profiling Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/710a4128ef1641f59d694bf588f82885
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id	oai:doaj.org-article:710a4128ef1641f59d694bf588f82885
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spelling	oai:doaj.org-article:710a4128ef1641f59d694bf588f828852021-11-25T19:02:25ZData-Driven Methodology for Coliving Spaces and Space Profiling Based on Post-Occupancy Evaluation through Digital Trail of Users10.3390/su1322126072071-1050https://doaj.org/article/710a4128ef1641f59d694bf588f828852021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12607https://doaj.org/toc/2071-1050Sustainable spaces are those that are optimized, accessible, promote user experience and aim to reduce CO<sub>2</sub> 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.Alicia RegodonMaxime ArmandCarmen LastresJose De PedroAlfonso García-SantosMDPI AGarticlecolivingCOVID-19digital trailhuman-centered designPost-Occupancy Evaluationspace profilingEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12607, p 12607 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	coliving COVID-19 digital trail human-centered design Post-Occupancy Evaluation space profiling Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	coliving COVID-19 digital trail human-centered design Post-Occupancy Evaluation space profiling Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Alicia Regodon Maxime Armand Carmen Lastres Jose De Pedro Alfonso García-Santos Data-Driven Methodology for Coliving Spaces and Space Profiling Based on Post-Occupancy Evaluation through Digital Trail of Users
description	Sustainable spaces are those that are optimized, accessible, promote user experience and aim to reduce CO<sub>2</sub> 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.
format	article
author	Alicia Regodon Maxime Armand Carmen Lastres Jose De Pedro Alfonso García-Santos
author_facet	Alicia Regodon Maxime Armand Carmen Lastres Jose De Pedro Alfonso García-Santos
author_sort	Alicia Regodon
title	Data-Driven Methodology for Coliving Spaces and Space Profiling Based on Post-Occupancy Evaluation through Digital Trail of Users
title_short	Data-Driven Methodology for Coliving Spaces and Space Profiling Based on Post-Occupancy Evaluation through Digital Trail of Users
title_full	Data-Driven Methodology for Coliving Spaces and Space Profiling Based on Post-Occupancy Evaluation through Digital Trail of Users
title_fullStr	Data-Driven Methodology for Coliving Spaces and Space Profiling Based on Post-Occupancy Evaluation through Digital Trail of Users
title_full_unstemmed	Data-Driven Methodology for Coliving Spaces and Space Profiling Based on Post-Occupancy Evaluation through Digital Trail of Users
title_sort	data-driven methodology for coliving spaces and space profiling based on post-occupancy evaluation through digital trail of users
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/710a4128ef1641f59d694bf588f82885
work_keys_str_mv	AT aliciaregodon datadrivenmethodologyforcolivingspacesandspaceprofilingbasedonpostoccupancyevaluationthroughdigitaltrailofusers AT maximearmand datadrivenmethodologyforcolivingspacesandspaceprofilingbasedonpostoccupancyevaluationthroughdigitaltrailofusers AT carmenlastres datadrivenmethodologyforcolivingspacesandspaceprofilingbasedonpostoccupancyevaluationthroughdigitaltrailofusers AT josedepedro datadrivenmethodologyforcolivingspacesandspaceprofilingbasedonpostoccupancyevaluationthroughdigitaltrailofusers AT alfonsogarciasantos datadrivenmethodologyforcolivingspacesandspaceprofilingbasedonpostoccupancyevaluationthroughdigitaltrailofusers
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Data-Driven Methodology for Coliving Spaces and Space Profiling Based on Post-Occupancy Evaluation through Digital Trail of Users

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