Reprogramming heritage: an approach for the automatization in the adaptative reuse of buildings

This article introduces a methodology for a novel data-driven computational model aimed at aiding public administrations in managing and evaluating the adaptative reuse of buildings while tackling ecological and digital challenges. Drawing from the 2030 Agenda for Sustainable Development, the study...

ver descrição completa

Detalhes bibliográficos
Autores: Domènech Rodríguez, Marta|||0000-0002-6152-679X, López López, David|||0000-0002-3544-618X, Nadal Francesch, Sergi|||0000-0002-8565-952X, Queralt Calafat, Anna|||0000-0003-2782-2955, Cornadó Bardón, Còssima|||0000-0003-0553-7176
Tipo de documento: artigo
Data de publicação:2024
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositório:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglês
OAI Identifier:oai:upcommons.upc.edu:2117/416953
Acesso em linha:https://hdl.handle.net/2117/416953
https://dx.doi.org/10.3390/architecture4040051
Access Level:Acceso aberto
Palavra-chave:Historic buildings -- Conservation and restauration -- Spain -- Barcelona
Urban reuse
Heritage transformation
Heritage education
Edificis històrics -- Conservació i restauració -- Catalunya -- Barcelona
Àrees temàtiques de la UPC::Arquitectura::Restauració arquitectònica
id ES_1984ccb34a7305071dc4e87df3da0f9c
oai_identifier_str oai:upcommons.upc.edu:2117/416953
network_acronym_str ES
network_name_str España
repository_id_str
spelling Reprogramming heritage: an approach for the automatization in the adaptative reuse of buildingsDomènech Rodríguez, Marta|||0000-0002-6152-679XLópez López, David|||0000-0002-3544-618XNadal Francesch, Sergi|||0000-0002-8565-952XQueralt Calafat, Anna|||0000-0003-2782-2955Cornadó Bardón, Còssima|||0000-0003-0553-7176Historic buildings -- Conservation and restauration -- Spain -- BarcelonaUrban reuseHeritage transformationHeritage educationEdificis històrics -- Conservació i restauració -- Catalunya -- BarcelonaÀrees temàtiques de la UPC::Arquitectura::Restauració arquitectònicaThis article introduces a methodology for a novel data-driven computational model aimed at aiding public administrations in managing and evaluating the adaptative reuse of buildings while tackling ecological and digital challenges. Drawing from the 2030 Agenda for Sustainable Development, the study underscores the significance of innovative approaches in harnessing the economic potential of data. Focusing on Barcelona’s Ciutat Vella district, the research selects five historic public buildings for analysis, strategically positioned to spur local entrepreneurship and counteract tourism dominance. Through an extensive literature review, the article identifies a gap in computational models for building adaptative reuse and proposes a methodological framework that integrates data collection, processing, and computational modelling, underscored by GIS technology and open data sources. The proposed methodology for a computational algorithm aims to systematise spatial characteristics, assess programmatic needs, and optimise building usage, while addressing challenges such as data integration and quality assurance. Ultimately, the research presents a pioneering approach to building adaptative reuse, aimed at fostering sustainable urban development and offering replicable insights applicable to similar challenges in other cities.Cohabitem Barcelona: cinc casos d’estudi a Ciutat Vella per a la reutilització urbana i el foment de models productius innovadorsPeer ReviewedMultidisciplinary Digital Publishing Institute (MDPI)20242024-11-0220242024-11-04journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/416953https://dx.doi.org/10.3390/architecture4040051reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengAgencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-117191RB-I00 DESARROLLO, OPERATIVA Y GOBERNANZA DE DATOS PARA SISTEMAS SOFTWARE BASADOS EN APRENDIZAJE AUTOMATICOAgencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023 PID2022-142352OB-I00 ESTRATEGIAS DE EVALUACION E INTERVENCION PARA LA REGENERACION URBANA Y LA MITIGACION DE LA POBREZA ENERGETICA EN BARCELONA Y BILBAO.European Commission http://doi.org/10.13039/501100000780 HE 101135513 Automated end-to-end data life cycle management for FAIR data integration, processing and re-useopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/4169532026-05-27T15:37:01Z
dc.title.none.fl_str_mv Reprogramming heritage: an approach for the automatization in the adaptative reuse of buildings
title Reprogramming heritage: an approach for the automatization in the adaptative reuse of buildings
spellingShingle Reprogramming heritage: an approach for the automatization in the adaptative reuse of buildings
Domènech Rodríguez, Marta|||0000-0002-6152-679X
Historic buildings -- Conservation and restauration -- Spain -- Barcelona
Urban reuse
Heritage transformation
Heritage education
Edificis històrics -- Conservació i restauració -- Catalunya -- Barcelona
Àrees temàtiques de la UPC::Arquitectura::Restauració arquitectònica
title_short Reprogramming heritage: an approach for the automatization in the adaptative reuse of buildings
title_full Reprogramming heritage: an approach for the automatization in the adaptative reuse of buildings
title_fullStr Reprogramming heritage: an approach for the automatization in the adaptative reuse of buildings
title_full_unstemmed Reprogramming heritage: an approach for the automatization in the adaptative reuse of buildings
title_sort Reprogramming heritage: an approach for the automatization in the adaptative reuse of buildings
dc.creator.none.fl_str_mv Domènech Rodríguez, Marta|||0000-0002-6152-679X
López López, David|||0000-0002-3544-618X
Nadal Francesch, Sergi|||0000-0002-8565-952X
Queralt Calafat, Anna|||0000-0003-2782-2955
Cornadó Bardón, Còssima|||0000-0003-0553-7176
author Domènech Rodríguez, Marta|||0000-0002-6152-679X
author_facet Domènech Rodríguez, Marta|||0000-0002-6152-679X
López López, David|||0000-0002-3544-618X
Nadal Francesch, Sergi|||0000-0002-8565-952X
Queralt Calafat, Anna|||0000-0003-2782-2955
Cornadó Bardón, Còssima|||0000-0003-0553-7176
author_role author
author2 López López, David|||0000-0002-3544-618X
Nadal Francesch, Sergi|||0000-0002-8565-952X
Queralt Calafat, Anna|||0000-0003-2782-2955
Cornadó Bardón, Còssima|||0000-0003-0553-7176
author2_role author
author
author
author
dc.subject.none.fl_str_mv Historic buildings -- Conservation and restauration -- Spain -- Barcelona
Urban reuse
Heritage transformation
Heritage education
Edificis històrics -- Conservació i restauració -- Catalunya -- Barcelona
Àrees temàtiques de la UPC::Arquitectura::Restauració arquitectònica
topic Historic buildings -- Conservation and restauration -- Spain -- Barcelona
Urban reuse
Heritage transformation
Heritage education
Edificis històrics -- Conservació i restauració -- Catalunya -- Barcelona
Àrees temàtiques de la UPC::Arquitectura::Restauració arquitectònica
description This article introduces a methodology for a novel data-driven computational model aimed at aiding public administrations in managing and evaluating the adaptative reuse of buildings while tackling ecological and digital challenges. Drawing from the 2030 Agenda for Sustainable Development, the study underscores the significance of innovative approaches in harnessing the economic potential of data. Focusing on Barcelona’s Ciutat Vella district, the research selects five historic public buildings for analysis, strategically positioned to spur local entrepreneurship and counteract tourism dominance. Through an extensive literature review, the article identifies a gap in computational models for building adaptative reuse and proposes a methodological framework that integrates data collection, processing, and computational modelling, underscored by GIS technology and open data sources. The proposed methodology for a computational algorithm aims to systematise spatial characteristics, assess programmatic needs, and optimise building usage, while addressing challenges such as data integration and quality assurance. Ultimately, the research presents a pioneering approach to building adaptative reuse, aimed at fostering sustainable urban development and offering replicable insights applicable to similar challenges in other cities.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-11-02
2024
2024-11-04
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/416953
https://dx.doi.org/10.3390/architecture4040051
url https://hdl.handle.net/2117/416953
https://dx.doi.org/10.3390/architecture4040051
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-117191RB-I00 DESARROLLO, OPERATIVA Y GOBERNANZA DE DATOS PARA SISTEMAS SOFTWARE BASADOS EN APRENDIZAJE AUTOMATICO
Agencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023 PID2022-142352OB-I00 ESTRATEGIAS DE EVALUACION E INTERVENCION PARA LA REGENERACION URBANA Y LA MITIGACION DE LA POBREZA ENERGETICA EN BARCELONA Y BILBAO.
European Commission http://doi.org/10.13039/501100000780 HE 101135513 Automated end-to-end data life cycle management for FAIR data integration, processing and re-use
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869404050976407552
score 15,81155