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Impact of Megacity Jobs-Housing Spatial Mismatch on Commuting Behaviors: A Case Study on Central Districts of Shanghai, China

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  • Xiang Zhou

    (The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, 4800 Cao’an Road, Shanghai 201804, China
    Centre of Comprehensive Transportation Research, Shanghai Urban Planning and Design Research Institute, 331 Tongren Road, Shanghai 200040, China)

  • Xiaohong Chen

    (The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, 4800 Cao’an Road, Shanghai 201804, China)

  • Tianran Zhang

    (Centre of Comprehensive Transportation Research, Shanghai Urban Planning and Design Research Institute, 331 Tongren Road, Shanghai 200040, China)

Abstract

This studyutilized the mobile signaling data to conductthe impact analysis of jobs-housing spatial mismatch on commuting behavior, with eight typical employment centers of three categories selected as the research subjects. Based on the analysis of the characteristics and indictors including commuting distance, accessibilities from cumulative opportunity model etc. , this study demonstrates that (a) cumulative percentage of short commuting distance (e.g., less than 3 km) reflects the jobs-housing spatial match between employment centers and their peripheral areas; and (b) combining the indicators of employed population and area covered within a certain space-time range among indictors of accessibility, it is possible to identify the degree of jobs-housing balance and efficiency of the transport system. According to the evaluation radar maps, the authors believe that employment centers could be divided into three categories: those with a gathering power, those with improvable functions, and those with local adjustment potentials. Possible measures including controlling the gathering power of the city centers, improving the function mix and transport facilities, and optimizing the overall local environment, etc . could be made to achieve jobs-housing balance in central districts and their peripheral areas as a whole. Besides, the study, proceeding from the perspective of commuters, suggests that optimization of jobs-housing distribution along banded corridors would be more efficient than those within the traditional region so as to reduce commuting traffic load.

Suggested Citation

  • Xiang Zhou & Xiaohong Chen & Tianran Zhang, 2016. "Impact of Megacity Jobs-Housing Spatial Mismatch on Commuting Behaviors: A Case Study on Central Districts of Shanghai, China," Sustainability, MDPI, vol. 8(2), pages 1-22, January.
  • Handle: RePEc:gam:jsusta:v:8:y:2016:i:2:p:122-:d:63105
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    References listed on IDEAS

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    1. Kelly DeRango, 2001. "Can Commutes Be Used to Test the Spatial Mismatch Hypothesis?," Urban Studies, Urban Studies Journal Limited, vol. 38(9), pages 1521-1529, August.
    2. Zhong-Ren Peng, 1997. "The Jobs-Housing Balance and Urban Commuting," Urban Studies, Urban Studies Journal Limited, vol. 34(8), pages 1215-1235, July.
    3. Mathieu Charron, 2007. "From Excess Commuting to Commuting Possibilities: More Extension to the Concept of Excess Commuting," Environment and Planning A, , vol. 39(5), pages 1238-1254, May.
    4. Kang‐Rae Ma & David Banister, 2006. "Excess Commuting: A Critical Review," Transport Reviews, Taylor & Francis Journals, vol. 26(6), pages 749-767, May.
    5. Murphy, Enda, 2009. "Excess commuting and modal choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(8), pages 735-743, October.
    6. Daniel Immergluck, 1998. "Job Proximity and the Urban Employment Problem: Do Suitable Nearby Jobs Improve Neighbourhood Employment Rates?: A Reply," Urban Studies, Urban Studies Journal Limited, vol. 35(12), pages 2359-2368, December.
    7. Zhou, Jiangping & Murphy, Enda & Long, Ying, 2014. "Commuting efficiency in the Beijing metropolitan area: an exploration combining smartcard and travel survey data," Journal of Transport Geography, Elsevier, vol. 41(C), pages 175-183.
    8. Brian D. Taylor & Paul M. Ong, 1995. "Spatial Mismatch or Automobile Mismatch? An Examination of Race, Residence and Commuting in US Metropolitan Areas," Urban Studies, Urban Studies Journal Limited, vol. 32(9), pages 1453-1473, November.
    9. 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.
    10. 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.
    11. Mark A. Thompson, 1997. "The Impact of Spatial Mismatch on Female Labor Force Participation," Economic Development Quarterly, , vol. 11(2), pages 138-145, May.
    12. Donald S. Houston, 2005. "Methods to Test the Spatial Mismatch Hypothesis," Economic Geography, Taylor & Francis Journals, vol. 81(4), pages 407-434, October.
    13. Joseph D. Mooney, 1969. "Housing Segregation, Negro Employment and Metropolitan Decentralization: An Alternative Perspective," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 83(2), pages 299-311.
    14. Cervero, Robert, 1989. "Jobs-Housing Balancing and Regional Mobility," University of California Transportation Center, Working Papers qt7mx3k73h, University of California Transportation Center.
    15. Daniel Immergluck, 1998. "Job Proximity and the Urban Employment Problem: Do Suitable Nearby Jobs Improve Neighbourhood Employment Rates?," Urban Studies, Urban Studies Journal Limited, vol. 35(1), pages 7-23, January.
    16. 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.
    17. Enda Murphy & James E. Killen, 2011. "Commuting Economy," Urban Studies, Urban Studies Journal Limited, vol. 48(6), pages 1255-1272, May.
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