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Determinants of Small-Area Water Consumption for the City of Phoenix, Arizona

机译:亚利桑那州凤凰城小面积用水的决定因素

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Rapid population growth in the face of an uncertain climate future challenges the desert city of Phoenix, Arizona to consume water more prudently. To better understand the demand side of this important issue, we identified the determinants of water consumption for detached single-family residential units using ordinary least squares regression (OLS). We compared the results from the OLS model to those of a geographically weighted regression (GWR) model to determine whether there are spatial effects above and beyond the effects of the OLS variables. Determinants of residential water demand reflect both indoor and outdoor use and include household size, the presence of swimming pools, lot size, and the prevalence of landscaping that requires a moist environment. Results confirm the statistical significance of household size, the presence of a pool, landscaping practices, and lot size. Improvement of the GWR over the OLS model suggests that there are spatial effects above and beyond the effects for household size and pools - two of the four determinants of water demand. This means that census tracts exhibit water consumption behavior similar to neighboring tracts for these two variables. Model parameters can be used to investigate the effects of policies designed to regulate lot size, pool construction, and landscaping practices on water consumption and to forecast water demand in areas of new construction.
机译:面对不确定的气候未来,人口的快速增长对亚利桑那州凤凰城沙漠城市的节水提出了挑战。为了更好地理解这一重要问题的需求方面,我们使用普通最小二乘回归(OLS)确定了独立式单户住宅单元的用水量的决定因素。我们将OLS模型的结果与地理加权回归(GWR)模型的结果进行了比较,以确定是否存在超出OLS变量影响的空间影响。住宅用水需求的决定因素反映了室内和室外的使用情况,包括家庭规模,游泳池的存在,地段大小以及需要潮湿环境的美化环境的普遍性。结果证实了家庭规模,游泳池的存在,美化环境和土地面积的统计意义。在OLS模型上对GWR的改进表明,除了家庭规模和水库影响之外,还有空间影响-需水量的四个决定因素中的两个。这意味着,对于这两个变量,普查区域的耗水行为与相邻区域相似。模型参数可用于调查旨在调节地块大小,水池建设和园林绿化做法的政策对水消耗的影响,并预测新建建筑区域的需水量。

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