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A commuting spectrum analysis of the jobs–housing balance and self-containment of employment with mobile phone location big data

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  • Xingang Zhou
  • Anthony GO Yeh
  • Weifeng Li
  • Yang Yue

Abstract

Studies on the jobs–housing balance and self-containment of employment are mainly focused on observed journey-to-work trips using travel survey data. This study examines the relationship between the jobs–housing balance and the self-containment of employment through the use of mobile phone location data in Shenzhen, a megacity in southern China. Individual-level journey-to-work trips are explored based on mobile phone location big data. Self-containment of employment in the suburban districts is higher than that in the central districts. The effect of the jobs–housing balance on self-containment of employment is examined at a 2 km grid level. Jobs–housing balance policies positively affect the self-containment of employment in the suburban districts, but its effect is limited in the central districts. Two extreme commuting spectrum measures are used to analyze self-containment of employment in different journey-to-work scenarios with the same jobs–housing distribution. Workers are disaggregated into secondary and tertiary sector workers according to job types. The self-containment of employment is found to be mainly affected by the local jobs–housing balance for secondary-sector workers and the regional city level job distribution for tertiary-sector workers. The extreme scenarios of commuting behavior using the commuting spectrum method can provide benchmarks that can help to understand the observed self-containment of employment better.

Suggested Citation

  • 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.
    • Handle: RePEc:sae:envirb:v:45:y:2018:i:3:p:434-451
    DOI: 10.1177/2399808317707967
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    References listed on IDEAS

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    1. Frost, Martin & Linneker, Brian & Spence, Nigel, 1998. "Excess or wasteful commuting in a selection of British cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(7), pages 529-538, September.
    2. Marta C. González & César A. Hidalgo & Albert-László Barabási, 2009. "Understanding individual human mobility patterns," Nature, Nature, vol. 458(7235), pages 238-238, March.
    3. White, M.J., 1988. "Urban Commuting Journeys Are Not Wasteful," Papers 88-10, Michigan - Center for Research on Economic & Social Theory.
    4. Cervero, Robert, 1989. "Jobs-Housing Balancing and Regional Mobility," University of California Transportation Center, Working Papers qt7mx3k73h, University of California Transportation Center.
    5. Genevieve Giuliano & Kenneth A. Small, 1993. "Is the Journey to Work Explained by Urban Structure?," Urban Studies, Urban Studies Journal Limited, vol. 30(9), pages 1485-1500, November.
    6. White, Michelle J, 1988. "Urban Commuting Journeys Are Not "Wasteful."," Journal of Political Economy, University of Chicago Press, vol. 96(5), pages 1097-1110, October.
    7. Chen, Jie & Shaw, Shih-Lung & Yu, Hongbo & Lu, Feng & Chai, Yanwei & Jia, Qinglei, 2011. "Exploratory data analysis of activity diary data: a space–time GIS approach," Journal of Transport Geography, Elsevier, vol. 19(3), pages 394-404.
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    Cited by:

    1. Juan Zhu & Xinyi Niu & Cheng Shi, 2019. "The Influencing Factors of a Polycentric Employment System on Jobs-Housing Matching—A Case Study of Hangzhou, China," Sustainability, MDPI, vol. 11(20), pages 1-18, October.
    2. 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.

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