|  persquaremile.com

We’ve been planning cities for almost as long as they have existed. Archaeological evidence suggests the ancient Egyptians did so 5,000 years ago. Hippodamos, considered by many to be the father of urban planning, imposed street grids on every ancient Greek city that would let him. Since then, we’ve been busily drawing, revising, and otherwise fussing about how best to design our cities.

It turns out we may have it all wrong. Or at least wrong for today’s cities. Urban areas have always been in constant flux, but we’re now demanding far more of them than before. They’ve never housed, transported, or employed so many people. To cope, cities have been changing at an astonishingly rapid pace. The results can be inspiring—as they are in Seoul, Singapore, and Tokyo—or depressing—just look at anywhere with extensive slums. In some cases, it seems urban planning is up to the task. In others, it’s not.

Where it falls flat, urban planning’s failings aren’t necessarily the fault of the designers. Too often planning is focused on minutiae—ordinances, regulations, zoning, setbacks, and so on. Even when it tackles bigger problems like economic growth, it doesn’t necessarily consider the city as a whole.¹

The solution, according to Michael Batty, an urban planner and professor at University College London, is infusing planning with science. Systems science, specifically, where bright minds and complex mathematical models try to digest the entirety of a system, like a city. It’s no simple task. IBM is just one company throwing billions of dollars and tons of silicon at the problem. What they’ll get out of it is anybody’s guess, but they seem certain they’ll get something. Cities are overflowing with collectable data. It’s making sense of it that’s difficult. The possibilities it presents is what I think is going drive us to rethink city planning. {…}