Pamela Cruz. Pen sula 360 Press [P360P].
Researchers at Stanford University analyzed water consumption, with the help of Big Data and Artificial Intelligence tools, which could change the urbanization strategy, as well as provide a better understanding of the use and supply of water in cities.
It is noteworthy that the research, published in Environmental Research Letters, is the first to demonstrate how real estate platforms can be used to obtain data on water use for city planning, drought management and sustainability.
The report uses data from Zillow and other real estate websites to gather information on single-family homes, including lot size, home value and number of bedrooms in Redwood City, California, a rapidly growing and economically diverse city with a variety of home styles, lots and neighborhoods.
Then, using demographic information from the city's Census Bureau, they analyzed factors including average household size and income, along with the percentage occupied by renters, non-relatives, college-educated and seniors.
By combining the data and applying machine learning methods, the researchers were able to identify five clusters of communities, which they also compared to billing data from the public works department.