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dc.contributor.authorMakki, Anas A
dc.contributor.authorStewart, Rodney A
dc.contributor.authorPanuwatwanich, Kriengsak
dc.contributor.authorBeal, Cara
dc.contributor.editorD. Huisingh
dc.date.accessioned2017-05-03T12:24:59Z
dc.date.available2017-05-03T12:24:59Z
dc.date.issued2013
dc.date.modified2014-08-28T05:04:51Z
dc.identifier.issn0959-6526
dc.identifier.doi10.1016/j.jclepro.2011.08.007
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.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent1677060 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier
dc.publisher.placeNetherlands
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom129
dc.relation.ispartofpageto146
dc.relation.ispartofjournalJournal of Cleaner Production
dc.relation.ispartofvolume60
dc.rights.retentionY
dc.subject.fieldofresearchWater resources engineering
dc.subject.fieldofresearchEnvironmental engineering
dc.subject.fieldofresearchManufacturing engineering
dc.subject.fieldofresearchBuilt environment and design
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchcode400513
dc.subject.fieldofresearchcode4011
dc.subject.fieldofresearchcode4014
dc.subject.fieldofresearchcode33
dc.subject.fieldofresearchcode40
dc.titleRevealing the determinants of shower water end use consumption: enabling better targeted urban water conservation strategies
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Sciences, Griffith School of Engineering
gro.rights.copyright© 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.
gro.date.issued2013
gro.hasfulltextFull Text
gro.griffith.authorStewart, Rodney A.
gro.griffith.authorBeal, Cara D.


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