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Workplace segregation of rural migrants in urban China: A case study of Shenzhen using cellphone big data

Xingang Zhou,Zifeng Chen,A. G. Yeh,Y. Yue

Published 2019 in Environment and Planning B Urban Analytics and City Science

ABSTRACT

Studies of socio-spatial segregation in recent decades have shifted the focus from residential areas to people’s workplaces and other activity places. This study attempts to elucidate workplace segregation using cellular network data and to examine urban China with a special focus on the segregation of rural migrants, using residents living in the migrant enclaves of urban villages as a proxy. Furthermore, this study identifies factors that affect the variations of workplace segregation. The study shows that rural migrants who work in manufacturing industries and live in suburban areas suffer from higher workplace segregation from other social groups compared with those who work in service jobs and reside in the central-city areas, indicating that migrant enclaves in central-city areas play a significant role in housing rural migrants. It provides them with considerable access to service jobs and, thus, alleviates workplace segregation. Our results show that the use of big data can effectively capture the dynamics of population composition in activity places and provide a useful perspective for a deeper understanding of socio-spatial segregation.

PUBLICATION RECORD

  • Publication year

    2019

  • Venue

    Environment and Planning B Urban Analytics and City Science

  • Publication date

    2019-05-03

  • Fields of study

    Geography, Sociology

  • Identifiers
    DOI 10.1177/2399808319846903
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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