Interpretable machine learning learns complex interactions of urban features to understand socio‐economic inequality

C Fan, J Xu, BY Natarajan… - Computer‐Aided Civil …, 2023 - Wiley Online Library
Inequality in cities is a phenomenon arising from the complex interactions among urban
systems and population activities. Conventional statistics and mathematical models like …

Combining expert and crowd-sourced training data to map urban form and functions for the continental US

M Demuzere, S Hankey, G Mills, W Zhang, T Lu… - Scientific data, 2020 - nature.com
Although continental urban areas are relatively small, they are major drivers of
environmental change at local, regional and global scales. Moreover, they are especially …

Neural embeddings of urban big data reveal spatial structures in cities

C Fan, Y Yang, A Mostafavi - Humanities and Social Sciences …, 2024 - nature.com
Over decades, many cities have been expanded and functionally diversified by population
activities, socio-demographics and attributes of the built environment. Urban expansion and …

An urban data framework for assessing equity in cities: Comparing accessibility to healthcare facilities in Cascadia

JR Mayaud, M Tran, R Nuttall - Computers, Environment and Urban …, 2019 - Elsevier
As cities continue to grow worldwide, policymakers and urban planners face the dual task of
meeting rising demand for essential services while ensuring that benefits accrue to their …

Neural embeddings of urban big data reveal emergent structures in cities

C Fan, Y Yang, A Mostafavi - arXiv preprint arXiv:2110.12371, 2021 - arxiv.org
In this study, we propose using a neural embedding model-graph neural network (GNN)-that
leverages the heterogeneous features of urban areas and their interactions captured by …

[HTML][HTML] You are where you go: Inferring residents' income level through daily activity and geographic exposure

J Lu, S Zhou, L Liu, Q Li - Cities, 2021 - Elsevier
This study developed a new approach to link residents' daily travel behavior and their socio-
economic attributes by inferring residents' income level from their activity space, activity …

Implicit racial biases are lower in more populous more diverse and less segregated US cities

AJ Stier, S Sajjadi, F Karimi, LMA Bettencourt… - Nature …, 2024 - nature.com
Implicit biases-differential attitudes towards members of distinct groups-are pervasive in
human societies and create inequities across many aspects of life. Recent research has …

Socioeconomic biases in urban mixing patterns of US metropolitan areas

RM Hilman, G Iñiguez, M Karsai - EPJ data science, 2022 - epjds.epj.org
Urban areas serve as melting pots of people with diverse socioeconomic backgrounds, who
may not only be segregated but have characteristic mobility patterns in the city. While …

[HTML][HTML] Crime, inequality and public health: a survey of emerging trends in urban data science

M Luca, GM Campedelli, S Centellegher… - Frontiers in Big …, 2023 - frontiersin.org
Urban agglomerations are constantly and rapidly evolving ecosystems, with globalization
and increasing urbanization posing new challenges in sustainable urban development well …

Recipes for neighborhood development: A machine learning approach toward understanding the impact of mixing in neighborhoods

JR Hipp, K Kane, JH Kim - Landscape and Urban Planning, 2017 - Elsevier
Abstract Scholars of New Urbanism have suggested that mixing along various dimensions in
neighborhoods (eg, income, race/ethnicity, land use) may have positive consequences for …