Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/101824
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dc.contributorSchool of Design-
dc.contributorResearch Institute for Sustainable Urban Development-
dc.creatorWei, Xen_US
dc.creatorZou, Gen_US
dc.creatorSiu, KWMen_US
dc.date.accessioned2023-09-18T07:44:58Z-
dc.date.available2023-09-18T07:44:58Z-
dc.identifier.issn1574-017Xen_US
dc.identifier.urihttp://hdl.handle.net/10397/101824-
dc.language.isoenen_US
dc.publisherHindawi Publishing Corporationen_US
dc.rightsCopyright © 2022 Xintong Wei et al. This is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
dc.rightsThe following publication Wei, X., Zou, G., & Siu, K. W. M. (2022). Multifactors Affecting Residential Well-Being in Urban Communities of Shenzhen Incorporating Intelligent Technologies. Mobile Information Systems, 2022, Article ID 3179358, is available at https://doi.org/10.1155/2022/3179358.en_US
dc.titleMultifactors affecting residential well-being in urban communities of Shenzhen incorporating intelligent technologiesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume2022en_US
dc.identifier.doi10.1155/2022/3179358en_US
dcterms.abstractRapid urban development is inseparable from technological advances, and the application of artificial intelligence in community life is becoming widespread, affecting residents' lifestyles and psychological well-being. This study investigated a variety of factors that affect the well-being of urban community residents. Environmental and emotional perceptions and overall well-being were assessed based on the responses of 179 respondents from six small communities in Shenzhen, China. Property management was strongly correlated with satisfaction with the physical environment and least correlated with neighborhood form. Pleasure, comfort, and the sense of belonging were correlated. In addition, interviews and questionnaires revealed a strong influence of AI facilities on people's well-being. Factor analysis revealed two-component matrices that explained more than 60% of the factors, which were described as "external"and "internal"factors. Finally, the study analyzes the relationship between intelligent devices and impact factors and their effects on residential well-being.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationMobile Information Systems, 2022, v. 2022, 3179358en_US
dcterms.isPartOfMobile information systemsen_US
dcterms.issued2022-
dc.identifier.scopus2-s2.0-85135699928-
dc.identifier.eissn1875-905Xen_US
dc.identifier.artn3179358en_US
dc.description.validate202309 bcvc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOS-
dc.description.fundingSourceNot mentionen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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