AI can warn urban planners and policymakers about urban decline
University of Notre DameAs urbanization advances worldwide, the quality of the urban physical environment is becoming increasingly important to human well-being and sustainable development initiatives. However, the amount of field data required to capture these patterns makes it difficult to measure and track the quality of an urban environment, its evolution and its spatial variations. To solve this problem, Yong Suk Lee, assistant professor of technology, economics and global affairs at the University of Notre Dame's Keough School of Global Affairs, and Andrea Vallebueno of Stanford University used machine learning to develop a scalable method for measuring urban areas to develop . decay. .
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