![]() In Figure 1, we can see a comparison of census data on the 250 square meter level and results from AgeSpot on the 50 square meter level, enabling a detailed analysis on where elderly live and will be living. At the 50-square-meter resolution, AgeSpot could accurately predict the relative and absolute shares of the elderly in each district and neighborhood of the city. Next, the machine was taught to apply this logic to spatial patterns and clues, city block by city block. ![]() As a preliminary step, AgeSpot’s analytical engine was fed inputs from a number of sources that ultimately enabled it to predict Vienna’s current age distribution at the aggregate level with more than 95 percent degree of precision. The test site was Vienna, Austria, a mid-sized European city with stable population trends and a wealth of publicly available records. And, as it turns out, some of these patterns are tremendous predictors of who probably lives next door, two doors down, or five metro stops away. In a nutshell, the team’s job was to predict the number of elderly people (aged 65 and older) living in a given 50 square meter location at any time over the next 20 years.īy applying econometric and demographic modeling techniques to census, land-use, and satellite data, the AgeSpot algorithm was taught to find patterns of relationships between humans and their physical surroundings. The preliminary results of this experiment-called AgeSpot-were just unveiled earlier this month. A recent feasibility study funded by the European Space Agency examined this challenge. ![]() ![]() The good news for the silver economy is that a new generation of population dynamics modeling now aspires to transform high-resolution satellite imagery into blueprints of where the elderly-or any age group for that matter-are likely to live in the future. Worldwide, an entire industry (the “silver economy”) has emerged seemingly out of nowhere to sell to pensioners in every income bracket and every country.īut where exactly will the elderly live? Without this critical piece of information, building strategies that aim to cater to the elderly-a diverse cohort that includes both those who are infirm as well highly mobile “snowbirds”-will have no chance of successfully meeting their needs. In recent years, the European Union launched initiatives aimed at addressing the challenges it faces by being home to the largest proportion of citizens over 60 on the planet. ![]()
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