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Examining Commuting Patterns

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  • Sunhee Sang

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  • Morton O’Kelly
  • Mei-Po Kwan
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    Abstract

    Typically, the high level of aggregation in conventional analysis of urban commuting may obscure meaningful differences among groups of commuters. This paper disaggregates US census datasets, taking commuters’ gender and occupation into consideration. Refined measures—jobs/workers ratio, average commuting distance and the number of in- and out-commuters—are introduced through the disaggregate approach and are tested for gender differences. Using US Census Transport Planning Package (CTPP) data for Rochester, MN, this study shows the spatial structure of the labour market among 18 worker groups. The results bear important implications for regional labour market plans considering the spatial mismatch between jobs and housing.

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    Bibliographic Info

    Article provided by Urban Studies Journal Limited in its journal Urban Studies.

    Volume (Year): 48 (2011)
    Issue (Month): 5 (April)
    Pages: 891-909

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    Handle: RePEc:sae:urbstu:v:48:y:2011:i:5:p:891-909

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    Web page: http://www.gla.ac.uk/departments/urbanstudiesjournal

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    Cited by:
    1. Martin Carree & Kristin Kronenberg, 2012. "Locational choices and the costs of distance: empirical evidence for Dutch graduates," ERSA conference papers ersa12p243, European Regional Science Association.
    2. Morton O’Kelly & Michael Niedzielski & Justin Gleeson, 2012. "Spatial interaction models from Irish commuting data: variations in trip length by occupation and gender," Journal of Geographical Systems, Springer, vol. 14(4), pages 357-387, October.
    3. Yu Liu & Chaogui Kang & Song Gao & Yu Xiao & Yuan Tian, 2012. "Understanding intra-urban trip patterns from taxi trajectory data," Journal of Geographical Systems, Springer, vol. 14(4), pages 463-483, October.

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