A MULTI-SCALE ANALYSIS OF LOW-RISE APARTMENT WATER DEMAND THROUGH INTEGRATION OF WATER CONSUMPTION, LAND USE, AND DEMOGRAPHIC DATA

Over the past decades, multi-unit housing developments have been vastly expanded across urban areas due to the population growth. To properly supply water to this growing sector, it is essential to understand the determinants of its water use. However, this task has largely remained unexplored through the empirical study of water demand mainly due to the scarcity of data in this sector. This study integrated apartment water consumption, property characteristics, weather, water pricing, and census microdata to overcome this issue. Using a rich source of GIS-based urban databases in Auckland, New Zealand, the study developed a large dataset containing the information of 18,000 low-rise apartments to evaluate the determinants of water use both in the household scale and aggregated scale. The household-scale demand analysis helped to assess the heterogeneity in responses to the demand drivers specifically water price across different consumer groups, whereas the aggregated analysis revealed the determinants behind the spatial variation in water demand at the census area unit level. Through applying panel data models, the study revealed the household size as the most important determinant of apartment water use in Auckland, where other socioeconomic factors, building features, and water pricing were not significant determinants This knowledge of determinants of water demand can help water planners to better manage water demand in the compact urban environments.