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Residential Resource Consumption: A New Approach to Collection of Dwelling Data
Abstract
Residential energy and water consumption depend on dwelling structure and the behaviour of residents. Aspects of residential behaviour can be derived from census data. Dwelling information is harder to obtain. Using both aerial and street-level views from Google mapping products, exterior dwelling characteristics were captured in each of 40 postal areas in and around Melbourne, Australia. This approach saved the time and cost of travelling to the widely spread suburbs and provided data not otherwise available. The census and dwelling data were compared with resource usage statistics in linear regression models. It was found that energy and water use are highly correlated, with socio-economic variables better explaining water consumption and dwelling structure factors better explaining energy consumption. Nevertheless, the proportions of households that include a couple with children and have a swimming pool provided useful models of variations in both energy and water use. Applications to planning through spatially explicit scenario testing were developed in ArcGIS ModelBuilder.
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