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Spatial variation of self-containment and jobs-housing balance in Shenzhen using cellphone big data

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  • Zhou, Xingang
  • Yeh, Anthony G.O.
  • Yue, Yang

Abstract

Self-containment of employment and jobs-housing balance have been used to examine commuting patterns from different perspectives. Appropriate jobs-housing ratio may achieve high self-containment. However, self-containment may be affected by other factors. In this study, the spatial variation of self-containment of employment and jobs–housing balance is examined with job types, location, and housing prices using the cellphone data in Shenzhen, China. Jobs–housing balance is found to be more important in self-containment of employment for secondary-sector workers compared with that for tertiary-sector workers. Secondary-sector workers tend to reside near their workplaces because of relatively balanced jobs and housing, whereas tertiary-sector workers tend to reside farther away from their workplaces to save housing cost. The study enhances our understanding of self-containment of employment and jobs-housing balance which is primarily based on Western cities.

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  • Zhou, Xingang & Yeh, Anthony G.O. & Yue, Yang, 2018. "Spatial variation of self-containment and jobs-housing balance in Shenzhen using cellphone big data," Journal of Transport Geography, Elsevier, vol. 68(C), pages 102-108.
    • Handle: RePEc:eee:jotrge:v:68:y:2018:i:c:p:102-108
    DOI: 10.1016/j.jtrangeo.2017.12.006
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    1. A.G. Champion, 2001. "A Changing Demographic Regime and Evolving Poly centric Urban Regions: Consequences for the Size, Composition and Distribution of City Populations," Urban Studies, Urban Studies Journal Limited, vol. 38(4), pages 657-677, April.
    2. Feng, Jianxi & Dijst, Martin & Wissink, Bart & Prillwitz, Jan, 2013. "The impacts of household structure on the travel behaviour of seniors and young parents in China," Journal of Transport Geography, Elsevier, vol. 30(C), pages 117-126.
    3. Loo, Becky P.Y. & Chow, Alice S.Y., 2011. "Jobs-housing balance in an era of population decentralization: An analytical framework and a case study," Journal of Transport Geography, Elsevier, vol. 19(4), pages 552-562.
    4. Xingang Zhou & Anthony GO Yeh & Weifeng Li & Yang Yue, 2018. "A commuting spectrum analysis of the jobs–housing balance and self-containment of employment with mobile phone location big data," Environment and Planning B, , vol. 45(3), pages 434-451, May.
    5. William J. Coffey & Richard G. Shearmur, 2002. "Agglomeration and Dispersion of High-order Service Employment in the Montreal Metropolitan Region, 1981-96," Urban Studies, Urban Studies Journal Limited, vol. 39(3), pages 359-378, March.
    6. Jian Feng & Yixing Zhou & Fulong Wu, 2008. "New Trends of Suburbanization in Beijing since 1990: From Government-led to Market-oriented," Regional Studies, Taylor & Francis Journals, vol. 42(1), pages 83-99.
    7. Marta C. González & César A. Hidalgo & Albert-László Barabási, 2009. "Understanding individual human mobility patterns," Nature, Nature, vol. 458(7235), pages 238-238, March.
    8. Zhao, Pengjun & Lü, Bin & Roo, Gert de, 2011. "Impact of the jobs-housing balance on urban commuting in Beijing in the transformation era," Journal of Transport Geography, Elsevier, vol. 19(1), pages 59-69.
    9. Schleith, Daniel & Widener, Michael & Kim, Changjoo, 2016. "An examination of the jobs-housing balance of different categories of workers across 26 metropolitan regions," Journal of Transport Geography, Elsevier, vol. 57(C), pages 145-160.
    10. Robert Cervero, 1995. "Planned Communities, Self-containment and Commuting: A Cross-national Perspective," Urban Studies, Urban Studies Journal Limited, vol. 32(7), pages 1135-1161, August.
    11. Marco Bontje, 2001. "Dealing with Deconcentration: Population Deconcentration and Planning Response in Polynucleated Urban Regions in North-west Europe," Urban Studies, Urban Studies Journal Limited, vol. 38(4), pages 769-785, April.
    12. Cervero, Robert, 1989. "Jobs-Housing Balancing and Regional Mobility," University of California Transportation Center, Working Papers qt7mx3k73h, University of California Transportation Center.
    13. Wang, Donggen & Chai, Yanwei, 2009. "The jobs–housing relationship and commuting in Beijing, China: the legacy of Danwei," Journal of Transport Geography, Elsevier, vol. 17(1), pages 30-38.
    14. Mark W. Horner & Alan T. Murray, 2002. "Excess Commuting and the Modifiable Areal Unit Problem," Urban Studies, Urban Studies Journal Limited, vol. 39(1), pages 131-139, January.
    Full references (including those not matched with items on IDEAS)

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