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Instead of relying on overly simple solutions, Chicago’s land bank will use big data to target vacant homes

Instead of relying on overly simple solutions, Chicago’s land bank will use big data to target vacant homes.

As Cincinnatians have seen with Hamilton County’s demolition program, funded through state foreclosure funds, it can be difficult to properly implement a program of that nature. Simply tearing down properties seems to be too heavy-handed, but more nuanced solutions can be more costly. In Chicago a slightly different approach is being taken. More from NextCity:

How can cities unload the properties they hold, and facilitate the transfer of empty properties held privately, to owners that can use them? In the age of Big Data, these decisions are becoming less complicated. Last month, fellows with the University of Chicago’s Data Science for Social Good began working with the Chicago area’s newly born Cook County Land Bank Authority. The aim is to create a tool that will make it easier to process data on foreclosures, real estate trends and the like to determine which properties are the best candidates for redevelopment. Think of it as a data-backed triage unit for vacant land.

By Randy A. Simes

Randy is an award-winning urban planner who founded UrbanCincy in May 2007. He grew up on Cincinnati’s west side in Covedale, and graduated from the University of Cincinnati’s nationally acclaimed School of Planning in June 2009. In addition to maintaining ownership and serving as the managing editor for UrbanCincy, Randy has worked professionally as a planning consultant throughout the United States, Korea and the Middle East. After brief stints in Atlanta and Chicago, he currently lives in the Daechi neighborhood of Seoul’s Gangnam district.