Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/30035
DC FieldValueLanguage
dc.contributor.authorArtopoulos, Georgios-
dc.contributor.authorFokaides, Paris-
dc.contributor.authorLysandrou, Vasiliki-
dc.contributor.authorDeligiorgi, Marissia-
dc.contributor.authorSabatakos, Panos-
dc.contributor.authorAgapiou, Athos-
dc.date.accessioned2023-08-01T09:27:08Z-
dc.date.available2023-08-01T09:27:08Z-
dc.date.issued2023-01-01-
dc.identifier.citationInternational Journal of Architectural Heritage, 2023en_US
dc.identifier.issn15583058-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/30035-
dc.description.abstractDigital analytical tools combined with 3D documentation are used incrementally in building rehabilitation in the conservation state analysis process. In the last decade, due to the current advancements in the Architecture Engineering Construction (AEC) industry, the application of BIM methods in heritage building conservation started becoming more attractive for specialists and practitioners. In light of the latest concepts in data management at city level, as a result of the discussion about smart city representations, the use of a shared digital environment that caters to technical studies related to conservation analysis, building provenance, structural changes, and urban context transformations can lead to reduced time, improved quality, and lowered cost of city management for all domain experts and city stakeholders. This paper explores the benefits of multi-scale and discipline digitization for the restoration of heritage buildings, highlighting the potential impact of innovative data integration, methods, and workflows on architectural renovation and energy upgrades. Specifically, it focuses on the integration of conservation information for heritage buildings and large-scale environmental analysis data for historic clusters in modern cities.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Architectural Heritageen_US
dc.rights© The Author(s)en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject4D spatial data managementen_US
dc.subjectdigital twin of historic clustersen_US
dc.subjectheritage building information modelling (H-BIM)en_US
dc.subjectLCAen_US
dc.subjectNDTen_US
dc.subjectonline BIMen_US
dc.subjectremote sensingen_US
dc.titleData-Driven Multi-Scale Study of Historic Urban Environments by Accessing Earth Observation and Non-Destructive Testing Information via an HBIM-Supported Platformen_US
dc.typeArticleen_US
dc.collaborationThe Cyprus Instituteen_US
dc.collaborationFrederick Universityen_US
dc.collaborationHIT Hypertech Innovationsen_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryCivil Engineeringen_US
dc.journalsOpen Accessen_US
dc.countryCyprusen_US
dc.countryGreeceen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1080/15583058.2023.2199408en_US
dc.identifier.scopus2-s2.0-85158892295-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85158892295-
cut.common.academicyear2022-2023en_US
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.languageiso639-1en-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-1448-7599-
crisitem.author.orcid0000-0001-9106-6766-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
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