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dc.contributor.authorBeal, Caraen_US
dc.contributor.authorMakki, Anasen_US
dc.contributor.authorPanuwatwanich, Kriengsaken_US
dc.contributor.authorStewart, Rodneyen_US
dc.contributor.editorD. Huisinghen_US
dc.date.accessioned2017-04-04T16:10:10Z
dc.date.available2017-04-04T16:10:10Z
dc.date.issued2013en_US
dc.date.modified2014-08-28T05:04:51Z
dc.identifier.issn09596526en_US
dc.identifier.doi10.1016/j.jclepro.2011.08.007en_US
dc.identifier.urihttp://hdl.handle.net/10072/42387
dc.description.abstractThe purpose of this study was to explore the predominant determinants of shower end use consumption and to find an overarching research design for building a residential water end use demand forecasting model using aligned socio-demographic and natural science data sets collected from 200 households fitted with smart water meters in South-east Queensland, Australia. ANOVA as well as multiple regression analysis statistical techniques were utilised to reveal the determinants (e.g. household makeup, shower fixture efficiency, income, education, etc.) of household shower consumption. Results of a series of one-way independent ANOVA extended into linear multiple regression models revealed that females, children in general and teenagers in particular, and the showerhead efficiency level were statistically significant determinants of shower end use consumption. Eight-way independent factorial ANOVA extended into a three-tier hierarchical linear multiple regression model, was used to create a shower end use forecasting model, and indicated that household size and makeup, as well as the showerhead efficiency rating, are the most significant predictors of shower usage. The generated multiple regression model was deemed reliable, explaining 90.2% of the variation in household shower end use consumption. The paper concludes with a discussion on the significant shower end use determinants and how this statistical approach will be followed to predict other residential end uses, and overall household consumption. Moreover, the implications of the research to urban water conservation strategies and policy design, is discussed, along with future research directions.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.format.extent1677060 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherElsevier BVen_US
dc.publisher.placeNetherlandsen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofpagefrom129en_US
dc.relation.ispartofpageto146en_US
dc.relation.ispartofjournalJournal of Cleaner Productionen_US
dc.relation.ispartofvolume60en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchWater Resources Engineeringen_US
dc.subject.fieldofresearchcode090509en_US
dc.titleRevealing the determinants of shower water end use consumption: enabling better targeted urban water conservation strategiesen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.rights.copyrightCopyright 2011 Elsevier. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.en_US
gro.date.issued2013
gro.hasfulltextFull Text


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