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A novel mixed method smart metering approach to reconciling differences between perceived and actual residential end use water consumption

机译:一种新颖的混合方法智能计量方法,可以调和感知的和最终的居民最终用水量之间的差异

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摘要

Studies 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.
机译:研究表明,住户对用水的看法往往与他们的实际用水并不完全匹配。但是,很少有研究调查这种偏见是否与特定类型的最终用途和/或特定类型的社会人口统计学和社会心理家庭概况有关。为澳大利亚昆士兰州东南部的252户家庭完成了一项高分辨率智能计量研究,该研究产生了详细的最终使用事件注册表以及心理,社会和社会人口统计调查,存货审计和自我报告的水日记。该研究调查了最终确定为“低”,“中”或“高”用水者的每个群体的最终用途对总用水的贡献。进行了一系列的单变量检验(即方差分析),以检验表征每个自定义用水组的一系列变量,包括年龄,收入,节水用水的百分比(例如低流量水龙头),家庭人数和组成以及节约用水的意图和态度。还检查了消费者在水费账单上获得的信息水平以及日终使用模式。本文最后讨论了倾向于高估或低估用水量的群体的一般特征(即收入,年龄,性别和家庭组成),以及如何将这些知识用于指导需求管理政策(如目标社区教育计划)以及基于社区的社会营销。此外,还讨论了这项研究可能带来积极的经济和可持续发展成果的潜力。

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