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Human mobility networks reveal increased segregation in large cities.
Nilforoshan, Hamed; Looi, Wenli; Pierson, Emma; Villanueva, Blanca; Fishman, Nic; Chen, Yiling; Sholar, John; Redbird, Beth; Grusky, David; Leskovec, Jure.
Afiliação
  • Nilforoshan H; Department of Computer Science, Stanford University, Stanford, CA, USA.
  • Looi W; Department of Computer Science, Stanford University, Stanford, CA, USA.
  • Pierson E; Department of Computer Science, Cornell Tech, New York, NY, USA.
  • Villanueva B; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.
  • Fishman N; Department of Computer Science, Stanford University, Stanford, CA, USA.
  • Chen Y; Department of Computer Science, Stanford University, Stanford, CA, USA.
  • Sholar J; Department of Computer Science, Stanford University, Stanford, CA, USA.
  • Redbird B; Institute for Policy Research, Northwestern University, Evanston, IL, USA.
  • Grusky D; Department of Sociology, Northwestern University, Evanston, IL, USA.
  • Leskovec J; Department of Sociology, Stanford University, Stanford, CA, USA.
Nature ; 624(7992): 586-592, 2023 Dec.
Article em En | MEDLINE | ID: mdl-38030732
ABSTRACT
A long-standing expectation is that large, dense and cosmopolitan areas support socioeconomic mixing and exposure among diverse individuals1-6. Assessing this hypothesis has been difficult because previous measures of socioeconomic mixing have relied on static residential housing data rather than real-life exposures among people at work, in places of leisure and in home neighbourhoods7,8. Here we develop a measure of exposure segregation that captures the socioeconomic diversity of these everyday encounters. Using mobile phone mobility data to represent 1.6 billion real-world exposures among 9.6 million people in the United States, we measure exposure segregation across 382 metropolitan statistical areas (MSAs) and 2,829 counties. We find that exposure segregation is 67% higher in the ten largest MSAs than in small MSAs with fewer than 100,000 residents. This means that, contrary to expectations, residents of large cosmopolitan areas have less exposure to a socioeconomically diverse range of individuals. Second, we find that the increased socioeconomic segregation in large cities arises because they offer a greater choice of differentiated spaces targeted to specific socioeconomic groups. Third, we find that this segregation-increasing effect is countered when a city's hubs (such as shopping centres) are positioned to bridge diverse neighbourhoods and therefore attract people of all socioeconomic statuses. Our findings challenge a long-standing conjecture in human geography and highlight how urban design can both prevent and facilitate encounters among diverse individuals.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fatores Socioeconômicos / População Urbana / Cidades / Rede Social / Análise de Rede Social Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Nature Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fatores Socioeconômicos / População Urbana / Cidades / Rede Social / Análise de Rede Social Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Nature Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos