The Data and Racial Inequality Project
EVERYDAY MOBILITY AND MOVEMENT SEGREGATION
This project seeks to understand racial segregation based on not where people live but where they move about the city. Using newly-available data on people’s daily travel to establishments and neighborhoods across cities, it examines separation, isolation, and integration.
PI: Mario L. Small
PUBLICATIONS
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De la Prada, Alex G. and Mario L. Small. 2024. “How People are Exposed to Neighborhoods Racially Different from their Own.” Proceedings of the National Academy of Sciences 121(28): e2401661121.
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Small, Mario L. 2023. “The Data Revolution and the Study of Social Inequality: Promise and Perils.” Social Research 90(4):757-80.
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​Li, Weiyu, Qi Wang, Yuanyuan Liu, Mario L. Small, and Jianxi Gao. 2022. “A Spatiotemporal Decay Model of Human Mobility when Facing Large-scale Crises.” Proceedings of the National Academy of Sciences 119(33) e2203042119.
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Phillips, Nolan E., Bryan L. Levy, Robert M. Sampson, Mario L. Small, and Ryan Q. Wang. 2021. “The Social Integration of American Cities: Network Measures of Connectedness Based on Everyday Mobility across Neighborhoods.” Sociological Methods & Research 50(3):110-49.
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Wang, Qi, Nolan Phillips, Mario L. Small, and Robert S. Sampson. 2018. “Urban Mobility and Neighborhood Isolation in America’s 50 Largest Cities.” Proceedings of the National Academy of Sciences 115(30):7735-40.
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