The Statistical Assessment of Variables Affecting Conservation Condition for Historic Houses

dc.contributor.author Demir,H.A.
dc.contributor.author Bulut,N.
dc.contributor.author Turan,M.H.
dc.date.accessioned 2024-10-25T23:27:31Z
dc.date.available 2024-10-25T23:27:31Z
dc.date.issued 2024
dc.description.abstract Conservation condition is the structural state of a historic building at a particular time. This study aims to determine the variables affecting conservation condition of heritage buildings in historic urban sites. The methodology includes selection of the case study, site survey and listing of historic house characteristics with conventional tools of architectural conservation, and determination of variables affecting their conservation condition with statistical tools. The houses in a portion of Kuyulu neighborhood, and in a portion of Kurtuluş Street, presenting variety in terms of built heritage characteristics in Antakya historic urban site, which experienced a destroying earthquake sequence in 2023, were focused on. The dataset prepared in 2019 site survey is examined by T-tests, ANOVA, regression, and exploratory spatial data analysis statistical tools. As a result, construction technique, land use, and number of storeys were determined as significant variables affecting conservation condition. While addressing abandonment issues and considering both commercial and residential functions for adaptive reuse can positively affect conservation conditions, it is crucial to recognize buildings with combined construction systems show a negative effect on conservation condition which should not be preferred in future constructions and need priority for consolidation interventions. Meanwhile, the construction period and alterations are revealed as insignificant variables on conservation condition. The study concludes that systematic planning, guided by statistical insights, can prioritize interventions and enhance positive variables corresponding to the heritage qualities that have positive impact on conservation condition while mitigating negative ones, thus ensuring the preservation of historic urban sites. © 2024, Avestia Publishing. All rights reserved. en_US
dc.identifier.doi 10.11159/icsta24.160
dc.identifier.isbn 978-199080042-9
dc.identifier.issn 2562-7767
dc.identifier.scopus 2-s2.0-85205719440
dc.identifier.uri https://doi.org/10.11159/icsta24.160
dc.identifier.uri https://hdl.handle.net/11147/14921
dc.language.iso en en_US
dc.publisher Avestia Publishing en_US
dc.relation.ispartof Proceedings of the International Conference on Statistics -- 6th International Conference on Statistics: Theory and Applications, ICSTA 2024 -- 19 August 2024 through 21 August 2024 -- Barcelona -- 320009 en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject ANOVA en_US
dc.subject Antakya en_US
dc.subject conservation condition en_US
dc.subject exploratory spatial data analysis en_US
dc.subject historic buildings en_US
dc.subject Historic urban site en_US
dc.subject regression analysis en_US
dc.subject T-test en_US
dc.title The Statistical Assessment of Variables Affecting Conservation Condition for Historic Houses en_US
dc.type Conference Object en_US
dspace.entity.type Publication
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gdc.description.department Izmir Institute of Technology en_US
gdc.description.departmenttemp Demir H.A., Izmir Institute of Technology, Department of Conservation and Restoration of Cultural Heritage, Urla, İzmir, Gülbahçe, 35433, Turkey; Bulut N., Izmir Institute of Technology, Department of Conservation and Restoration of Cultural Heritage, Urla, İzmir, Gülbahçe, 35433, Turkey; Turan M.H., Izmir Institute of Technology, Department of Conservation and Restoration of Cultural Heritage, Urla, İzmir, Gülbahçe, 35433, Turkey en_US
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
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