Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/108278
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dc.contributorDepartment of Building Environment and Energy Engineeringen_US
dc.creatorTsang, TWen_US
dc.creatorMui, KWen_US
dc.creatorWong, LTen_US
dc.date.accessioned2024-07-30T07:37:50Z-
dc.date.available2024-07-30T07:37:50Z-
dc.identifier.urihttp://hdl.handle.net/10397/108278-
dc.language.isoenen_US
dc.publisherMDPI AGen_US
dc.rights© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Tsang T-W, Mui K-W, Wong L-T. Adaption and Tolerance in Built Environment—An Evaluation of Environmental Sensation, Acceptance and Overall Indoor Environmental Quality (IEQ) in a Subtropical Region. Sustainability. 2023; 15(14):11094 is available at https://doi.org/10.3390/su151411094.en_US
dc.subjectAcceptanceen_US
dc.subjectAdaptionen_US
dc.subjectIndoor environment quality (IEQ)en_US
dc.subjectSensationen_US
dc.subjectToleranceen_US
dc.titleAdaption and tolerance in built environment : an evaluation of environmental sensation, acceptance and overall indoor environmental quality (IEQ) in a subtropical regionen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume15en_US
dc.identifier.issue14en_US
dc.identifier.doi10.3390/su151411094en_US
dcterms.abstractThe relationship between environmental sensations and acceptance in the indoor environment has yet to be fully explored or quantified. This study is the first in the literature that examines these relationships in thermal comfort, indoor air quality, aural comfort, visual comfort, and overall indoor environmental quality (IEQ). Using a regional IEQ database, the relationship between occupants’ sensation and acceptance of individual environmental aspects was investigated. The results suggest that building occupants had high tolerances towards indoor air quality and aural and visual discomforts, while cold sensations tended to elicit environmental discomfort. Furthermore, the study developed machine learning models with imbalanced data treatment to predict overall IEQ acceptance based on both sensation and acceptance of individual IEQ domains. These models accounted for the influence of environmental adaptation and tolerance on overall IEQ satisfaction determination. They accurately predicted unseen data, indicating high model generalizability and robustness. Overall, the study has practical implications for improving building performance and provides insights to better understand the relationship between environmental sensations and occupants’ acceptance, which should be considered in building design and operation.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSustainability, July 2023, v. 15, no. 14, 11094en_US
dcterms.isPartOfSustainabilityen_US
dcterms.issued2023-07-
dc.identifier.scopus2-s2.0-85166251406-
dc.identifier.eissn2071-1050en_US
dc.identifier.artn11094en_US
dc.description.validate202407 bcchen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera3105-n08, a3497-
dc.identifier.SubFormID50256-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextCollaborative Research Fund (CRF) COVID-19 and Novel Infectious Disease (NID) Research Exercise and the General Research Fund; Research Institute for Smart Energy (RISE) Matching Fund; PolyU Internal fundingen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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