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dc.contributor.authorBeal, Caraen_US
dc.contributor.authorStewart, Rodneyen_US
dc.contributor.authorFielding, Kellyen_US
dc.contributor.editorD. Huisinghen_US
dc.date.accessioned2017-05-03T12:25:00Z
dc.date.available2017-05-03T12:25:00Z
dc.date.issued2013en_US
dc.date.modified2014-08-28T05:04:06Z
dc.identifier.issn09596526en_US
dc.identifier.doi10.1016/j.jclepro.2011.09.007en_US
dc.identifier.urihttp://hdl.handle.net/10072/42390
dc.description.abstractStudies have shown that householders' perceptions of their water use are often not well matched with their actual water use. There has been less research however, investigating whether this bias is related to specific categories of end use and/or specific types of socio-demographic and socio-psychological household profiles. A high resolution smart metering study producing a detailed end use event registry as well as psycho-social and socio-demographic surveys, stock inventory audits and self-reported water diaries was completed for 252 households located in South-east Queensland, Australia. The study examined the contributions of end uses to total water use for each group that self-identified as "low", "medium" or "high" water users. A series of univariate tests (i.e. analysis of variance) were conducted to examine a range of variables that characterise each self-identified water usage group including age, income, percentage of water efficient stock (e.g. low flow taps), family size and composition and water conservation intentions and attitudes. The level of information consumers receive on their water bill as well as the diurnal end use patterns were also examined. The paper concludes with a discussion of the general characteristics (i.e. income, age, gender and family composition) of groups that tended to overestimate or underestimate their water use and how this knowledge can be used to inform demand management policy such as targeted community education programmes and community-based social marketing. Further, the potential for positive economic and sustainable development outcomes from this research is also discussed.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.format.extent1504161 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.ispartofpagefrom116en_US
dc.relation.ispartofpageto128en_US
dc.relation.ispartofissuen/aen_US
dc.relation.ispartofjournalJournal of Cleaner Productionen_US
dc.relation.ispartofvolume60en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchEnvironmental Science and Management not elsewhere classifieden_US
dc.subject.fieldofresearchEnvironmental Sciences not elsewhere classifieden_US
dc.subject.fieldofresearchcode050299en_US
dc.subject.fieldofresearchcode059999en_US
dc.titleA novel mixed method smart metering approach to reconciling differences between perceived and actual residential end use water consumptionen_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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