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Investigating Urban Spatial Mismatch Using Job–Housing Indicators to Model Home–Work Separation

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  • Mark W Horner

    (Department of Geography, Florida State University, 323 Bellamy Building, Tallahassee, FL 32306-2190, USA)

  • Jessica N Mefford

    (Department of Geography, The Ohio State University, 154 North Oval Mall, 1036 Derby Hall, Columbus, OH 43210, USA)

Abstract

During the past four decades a great deal of research has been carried out investigating aspects of the spatial mismatch hypothesis. At its foundation, the notion of spatial mismatch is driven largely by social justice, as some groups are disproportionately disadvantaged by the patterns of metropolitan growth and development. We offer geographical insights into this dimension of spatial mismatch through an exploratory spatial analysis of metropolitan-scale home and work locations. This is achieved by developing a conceptual framework that synthesizes research on spatial mismatch and jobs–housing balance. Following this, a model is employed to detect home–work imbalances, controlling for race, ethnicity, and the mode of commute. The approach is applied to data on the residential and work locations for commuter groups in the Atlanta, GA metropolitan area. The results reveal how potential commute options differ across commuter groups and show that minority home–work alternatives are more spatially constrained.

Suggested Citation

  • Mark W Horner & Jessica N Mefford, 2007. "Investigating Urban Spatial Mismatch Using Job–Housing Indicators to Model Home–Work Separation," Environment and Planning A, , vol. 39(6), pages 1420-1440, June.
    • Handle: RePEc:sae:envira:v:39:y:2007:i:6:p:1420-1440
    DOI: 10.1068/a37443
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    References listed on IDEAS

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    1. Morton E O'Kelly & Wook Lee, 2005. "Disaggregate Journey-to-Work Data: Implications for Excess Commuting and Jobs–Housing Balance," Environment and Planning A, , vol. 37(12), pages 2233-2252, December.
    2. 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.
    3. David Merriman & Toru Ohkawara & Tsutomu Suzuki, 1995. "Excess Commuting in the Tokyo Metropolitan Area: Measurement and Policy Simulations," Urban Studies, Urban Studies Journal Limited, vol. 32(1), pages 69-85, February.
    4. 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.
    5. Stanley H. Masters, 1974. "A Note on John Kain's "Housing Segregation, Negro Employment, and Metropolitan Decentralization"," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 88(3), pages 505-512.
    6. Harry J. Holzer, 1991. "The Spatial Mismatch Hypothesis: What Has the Evidence Shown?," Urban Studies, Urban Studies Journal Limited, vol. 28(1), pages 105-122, February.
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    3. Cheng, Lin & Chen, Chen & Xiu, Chunliang, 2017. "Excess kindergarten travel in Changchun, Northeast China: A measure of residence-kindergarten spatial mismatch," Journal of Transport Geography, Elsevier, vol. 60(C), pages 208-216.
    4. Bose, Pablo S., 2014. "Refugees in Vermont: mobility and acculturation in a new immigrant destination," Journal of Transport Geography, Elsevier, vol. 36(C), pages 151-159.
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    6. Hu, Lingqian & Schneider, Robert J., 2017. "Different ways to get to the same workplace: How does workplace location relate to commuting by different income groups?," Transport Policy, Elsevier, vol. 59(C), pages 106-115.
    7. Meina Zheng & Feng Liu & Xiucheng Guo & Xinyue Lei, 2019. "Assessing the Distribution of Commuting Trips and Jobs-Housing Balance Using Smart Card Data: A Case Study of Nanjing, China," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    8. K. Bruce Newbold & Darren M. Scott & Charles Burke, 2017. "Immigrant status and commute distance: an exploratory study based on the greater Golden Horseshoe," Transportation, Springer, vol. 44(1), pages 181-198, January.
    9. Jiangping, Zhou & Chun, Zhang & Xiaojian, Chen & Wei, Huang & Peng, Yu, 2014. "Has the legacy of Danwei persisted in transformations? the jobs-housing balance and commuting efficiency in Xi’an," Journal of Transport Geography, Elsevier, vol. 40(C), pages 64-76.
    10. Dan Ye & Jingxiang Zhang & Guoliang Xu, 2017. "Peripherization of Indemnificatory Housing Community under Land-Centered Urban Transformation: The Case of Nanjing, China," Sustainability, MDPI, vol. 9(4), pages 1-14, April.
    11. 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.
    12. Keone Kelobonye & Feng Mao & Jianhong (Cecilia) Xia & Mohammad Shahidul Hasan Swapan & Gary McCarney, 2019. "The Impact of Employment Self-Sufficiency Measures on Commuting Time: Case Study of Perth, Australia," Sustainability, MDPI, vol. 11(5), pages 1-21, March.

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