ArticleJournal of the Royal Society, Interface2019
Quantifying segregation in an integrated urban physical-social space.
Article in Journal of the Royal Society, Interface, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Promoting sustainable human mobility for income segregation mitigation.Patterns (New York, N.Y.) · 2026Article
- Varying relationships between experienced income segregation and travel behaviour across neighbourhood social and urban contexts.Nature communications · 2025Article
- Time-space dynamics of income segregation in the city of Milan.PNAS nexus · 2025Article
- Urban highways are barriers to social ties.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- The 15-minute city quantified using human mobility data.Nature human behaviour · 2024Article
- Urban delineation through a prism of intraday commute patterns.Frontiers in big data · 2024Article
- Socioeconomic reorganization of communication and mobility networks in response to external shocks.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
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- Article
- Crime, inequality and public health: a survey of emerging trends in urban data science.Frontiers in big data · 2023Review
- Aging effects in Schelling segregation model.Scientific reports · 2022Article
- Aggravated social segregation during the COVID-19 pandemic: Evidence from crowdsourced mobility data in twelve most populated U.S. metropolitan areas.Sustainable cities and society · 2022Article
- Quantifying social segregation in large-scale networks.Scientific reports · 2022Article
- Towards a new paradigm for segregation measurement in an age of big data.Urban informatics · 2022Review
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Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Our knowledge of how cities bring together different social classes is still limited. Much effort has been devoted to investigating residential segregation, mostly over well-defined social groups (e.g. race). Little is known of how mobility and human communications affect urban social integration. The dynamics of spatial and social-network segregation and individual variations along these two dimensions are largely untapped. In this article, we put forward a computational framework based on coupling large-scale information on human mobility, social-network connections and people's socio-economic status (SES), to provide a breakthrough in our understanding of the dynamics of spatio-temporal and social-network segregation in cities. Building on top of a social similarity measure, the framework can be used to depict segregation dynamics down to the individual level, and also provide aggregate measurements at the scale of places and cities, and their evolution over time. By applying the methodology in Singapore using large-scale mobile phone and socio-economic datasets, we find a relatively higher level of segregation among relatively wealthier classes, a finding that holds for both social and physical space. We also highlight the interplay between the effect of distance decay and homophily as forces that determine communication intensity, defining a notion of characteristic 'homophily distance' that can be used to measure social segregation across cities. The time-resolved analysis reveals the changing landscape of urban segregation and the time-varying roles of places. Segregations in physical and social space are weakly correlated at the individual level but highly correlated when grouped across at least hundreds of individuals. The methodology and analysis presented in this paper enable a deeper understanding of the dynamics of human segregation in social and physical space, which can assist social scientists, planners and city authorities in the design of more integrated cities.
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