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A MULTI-SCALE ANALYSIS OF SINGLE-FAMILY RESIDENTIAL WATER USE IN THE PHOENIX METROPOLITAN AREA

机译:凤凰城大都会区单户住宅用水的多尺度分析

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Studies that evaluate determinants of residential water demand typically use data from a single spatial scale. Although household-scale data are preferred, especially when econometric models are used, researchers may be limited to aggregate data. There is little, if any, empirical analysis to assess whether spatial scale may lead to ecological fallacy problems in residential water use research. Using linear mixed-effects models, we compare the results for the relationship of single-family water use with its determinants using data from the household and census tract scales in the city of Phoenix. Model results between the household and census tract scale are similar suggesting the ecological fallacy may not be significant. Common significant determinants on these two spatial scales include household size, household income, house age, pool size, irrigable lot size, precipitation, and temperature. We also use city/town scale data from the Phoenix metropolitan area to parameterize the linear mixed-effects model. The difference in the parameter estimates of those common variables compared to the first two scales indicates there is spatial heterogeneity in the relationship between single-family water use and its determinants among cities and towns. The negative relationship between single-family house density and residential water use suggests that residential water consumption could be reduced through coordination of land use planning and water demand management.
机译:评估居民用水需求决定因素的研究通常使用单一空间尺度的数据。尽管首选家庭规模的数据,尤其是在使用计量经济学模型时,但研究人员可能仅限于汇总数据。很少有经验分析来评估空间尺度是否可能导致住宅用水研究中的生态谬误问题。使用线性混合效应模型,我们使用凤凰城家庭和人口普查规模的数据,比较了单户家庭用水及其决定因素之间的关系。家庭和人口普查规模之间的模型结果相似,表明生态谬误可能不明显。在这两个空间尺度上,常见的重要决定因素包括家庭规模,家庭收入,房屋年龄,游泳池规模,可灌溉土地面积,降水量和温度。我们还使用来自Phoenix大都市地区的城市/城镇规模数据来参数化线性混合效应模型。与前两个等级相比,这些共同变量的参数估计值不同,这表明城镇之间单户家庭用水及其决定因素之间存在空间异质性。单户住宅密度与住宅用水之间的负相关关系表明,可以通过协调土地利用规划和用水需求管理来减少住宅用水。

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