Literature DB >> 31744420

Quantifying segregation in an integrated urban physical-social space.

Yang Xu1, Alexander Belyi2,3, Paolo Santi4,5, Carlo Ratti4.   

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.

Entities:  

Keywords:  big data analytics; homophily; mobile phone data; social network; social segregation; urban mobility

Year:  2019        PMID: 31744420      PMCID: PMC6893495          DOI: 10.1098/rsif.2019.0536

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  22 in total

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Review 3.  Income inequality in the developing world.

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Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-04       Impact factor: 11.205

6.  Measuring segregation: an activity space approach.

Authors:  David W S Wong; Shih-Lung Shaw
Journal:  J Geogr Syst       Date:  2011-06

7.  Money Walks: Implicit Mobility Behavior and Financial Well-Being.

Authors:  Vivek Kumar Singh; Burcin Bozkaya; Alex Pentland
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8.  Sequences of purchases in credit card data reveal lifestyles in urban populations.

Authors:  Riccardo Di Clemente; Miguel Luengo-Oroz; Matias Travizano; Sharon Xu; Bapu Vaitla; Marta C González
Journal:  Nat Commun       Date:  2018-08-20       Impact factor: 14.919

9.  EthniCity of Leisure: A Domains Approach to Ethnic Integration During Free Time Activities.

Authors:  Kristiina Kukk; Maarten van Ham; Tiit Tammaru
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10.  Cities through the Prism of People's Spending Behavior.

Authors:  Stanislav Sobolevsky; Izabela Sitko; Remi Tachet des Combes; Bartosz Hawelka; Juan Murillo Arias; Carlo Ratti
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  3 in total

1.  Quantifying social segregation in large-scale networks.

Authors:  Bjørn-Atle Reme; Andreas Kotsadam; Johannes Bjelland; Pål Roe Sundsøy; Jo Thori Lind
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2.  Aggravated social segregation during the COVID-19 pandemic: Evidence from crowdsourced mobility data in twelve most populated U.S. metropolitan areas.

Authors:  Xiao Li; Xiao Huang; Dongying Li; Yang Xu
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Review 3.  Towards a new paradigm for segregation measurement in an age of big data.

Authors:  Qing-Quan Li; Yang Yue; Qi-Li Gao; Chen Zhong; Joana Barros
Journal:  Urban Inform       Date:  2022-09-09
  3 in total

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