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National Center for Supercomputing Applications
In the SMU study on Dallas' infrastructure deserts, neighborhoods seen in dark red are "highly deficient." Circles denote predominant race-ethnicity (blue for white, green for black, reddish for Hispanic, purple for no predominance). [Image: SMU]
SMU Study Uses Drones and Machine Learning to Find ‘Infrastructure Desert’ Neighborhoods in Dallas
by David Seeley | Feb 22, 2022
The study by a team of SMU civil engineering researchers was supported by a five-year, $584,000 National Science Foundation grant. The team hopes that their study will lead to equitable improvements in the identified neighborhoods—with better groceries, internet access, noise walls, crosswalks, hospital access, bike trails, and more.
