Measuring urban livability in St. Louis using AI and community insights

In this study, we (1) measured urban livability using AI-assisted streetscape audits (N=7,848 street segments); (2) explored the distribution of livability features to identify and understand spatial inequities; and (3) captured community and stakeholder perspectives on how these inequities are produced and experienced, and perceptions of livability. See also our related research on the spatial and policy analysis of livability in St. Louis.

How to Cite: Leão, A. L. F., Wang, Y., Banda, B., Balogun, M., Xing, E., Gudapati, S., Rios-Hernandez, M., Jacobs, N., & Reis, R. (2026). Exploring Spatial Inequities and Livability: A mixed-methods study using artificial intelligence and community insights. Journal of Urban Health. https://doi.org/10.1007/s11524-026-01170-3
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