AI vision can determine why neighborhoods thrive

From Engadget - July 8, 2017

The technology has been trained to ignore changes that could skew the results, such as parked cars or seasonal differences in trees.

The results at once supported some existing theories and challenged others. A neighborhood's chances have little to do with housing prices, income levels or cultural demographics. Instead, it comes down to the density of well-educated residents, access to key business districts (or other pretty neighborhoods) and a safety score generated from the initial snapshot. Those are not completely surprising by themselves, but the rate of growth is: while an already safe neighborhood was likely to see more improvement than a dangerous one, the growth did not accelerate like some theorists suggested. Also, a neighborhood is not guaranteed to enjoy a revival just because its buildings are old enough to warrant renovations.


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