“Using a Real Life SimCity to Design a Massive Development”

As a massive SimCity fan, I find this use of predictive urban models intriguing:

596 acres, 50,000 residents, $4 billion dollars and even a 1,500-boat marina: Everything about the proposed Chicago Lakeside Development, developer Dan McCaffery’s massive micro-city being built at the former site of the U.S. Steel Southworks Plant, is on a different scale. It follows that the design process for this mixed-use project requires a different set of tools, in this case, LakeSim, an advanced computer modeling program. Developed as part of a collaboration between the University of Chicago, Argonne National Laboratory, Skidmore, Owings & Merrill and McCaffery Interests, this program functions like a customized SimCity, analyzing and simulating weather, traffic patterns and energy usage to help architects and designers plan for a site that may eventually contain more than 500 buildings.

“A lot of the Big Data approaches tend to be statistical in nature, looking at past data,” says Argonne scientist Jonathan Ozik. “We’re modeling a complex system of interactive components, running the data forward, so what we end up having is your SimCity analogy, energy systems interacting, vehicles and people moving. What we’re doing here is using a complex systems approach to tackle the problem.”…

The challenge for planners is predicting how so many different systems and variables will interact. LakeSim gives them a framework to analyze these systems over long timelines and run millions of scenarios much quicker than past models — hours as opposed to days — asking “hundreds of questions at once,” according to Ozik. The program is a step forward from similar modeling software, especially valuable at a site that in most respects is being built from scratch.

This seems quite useful at this point but it will be necessary to look at this down the road once the site is developed. How much time did the model save? How accurate was the model? Did relying on such a model lead to negative outcomes? If this is a predictive model, it may be only as good as the outcome.

Interesting to note that the commenters at the bottom are wondering where all the people to live in this development are going to come from. I assume that demand is appropriately accounted for in the model?

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