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Abstract
The current study evaluates residential water use patterns and driving factors across Los Angeles, California. Ten years of monthly residential water data were obtained from the Los Angeles Department of Water and Power. Socio-economic, vegetation characteristics, climate, and water pricing data were utilized to develop a statistical model to determine controlling factors of single-family residential water use. Key drivers were found to be household income, landscape greenness, water pricing, household volume allocation, precipitation and temperature. Results show that low water users are less sensitive to climate variability than high water users, likely because these customers have reduced outdoor water use. In the lower income group, average household size is a predictor for household water consumption, which increases with more residents. Lower water users are also more sensitive to changes in their first level household water allocation (Tier 1). However, low, medium and high water users all respond more to changes in the Tier 1 rate than the Tier 2 rate, and generally reduce consumption if this block rate is increased.
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