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Examining Commuting Patterns

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  • Sunhee Sang
  • Morton O’Kelly
  • Mei-Po Kwan

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.

Suggested Citation

  • Sunhee Sang & Morton O’Kelly & Mei-Po Kwan, 2011. "Examining Commuting Patterns," Urban Studies, Urban Studies Journal Limited, vol. 48(5), pages 891-909, April.
    • Handle: RePEc:sae:urbstu:v:48:y:2011:i:5:p:891-909
    DOI: 10.1177/0042098010368576
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    References listed on IDEAS

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    Cited by:

    1. Li, Mengya & Kwan, Mei-Po & Wang, Fahui & Wang, Jun, 2018. "Using points-of-interest data to estimate commuting patterns in central Shanghai, China," Journal of Transport Geography, Elsevier, vol. 72(C), pages 201-210.
    2. Martin A. Carree & Kristin Kronenberg, 2014. "Locational Choices and the Costs of Distance: Empirical Evidence for Dutch Graduates," Spatial Economic Analysis, Taylor & Francis Journals, vol. 9(4), pages 420-435, 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.
    4. Badland, Hannah & Pearce, Jamie, 2019. "Liveable for whom? Prospects of urban liveability to address health inequities," Social Science & Medicine, Elsevier, vol. 232(C), pages 94-105.
    5. Ta, Na & Zhao, Ying & Chai, Yanwei, 2016. "Built environment, peak hours and route choice efficiency: An investigation of commuting efficiency using GPS data," Journal of Transport Geography, Elsevier, vol. 57(C), pages 161-170.
    6. Xiao Li & Steven Farber, 2016. "Spatial representation in the social interaction potential metric: an analysis of scale and parameter sensitivity," Journal of Geographical Systems, Springer, vol. 18(4), pages 331-357, October.
    7. Farber, Steven & O'Kelly, Morton & Miller, Harvey J. & Neutens, Tijs, 2015. "Measuring segregation using patterns of daily travel behavior: A social interaction based model of exposure," Journal of Transport Geography, Elsevier, vol. 49(C), pages 26-38.
    8. 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.
    9. 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.
    10. Gil Solá, Ana, 2016. "Constructing work travel inequalities: The role of household gender contracts," Journal of Transport Geography, Elsevier, vol. 53(C), pages 32-40.
    11. Sergejs Gubins & Jos Ommeren & Thomas Graaff, 2019. "Does new information technology change commuting behavior?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(1), pages 187-210, February.
    12. Siyu Li & Der-Horng Lee, 2017. "Learning daily activity patterns with probabilistic grammars," Transportation, Springer, vol. 44(1), pages 49-68, January.
    13. Xiping Yang & Zhixiang Fang & Ling Yin & Junyi Li & Yang Zhou & Shiwei Lu, 2018. "Understanding the Spatial Structure of Urban Commuting Using Mobile Phone Location Data: A Case Study of Shenzhen, China," Sustainability, MDPI, vol. 10(5), pages 1-14, May.
    14. Shu‐Hen Chiang, 2012. "The Source of Metropolitan Growth: The Role of Commuting," Growth and Change, Wiley Blackwell, vol. 43(1), pages 143-166, March.
    15. Yingling Fan, 2017. "Household structure and gender differences in travel time: spouse/partner presence, parenthood, and breadwinner status," Transportation, Springer, vol. 44(2), pages 271-291, March.
    16. Shen, Yue & Kwan, Mei-Po & Chai, Yanwei, 2013. "Investigating commuting flexibility with GPS data and 3D geovisualization: a case study of Beijing, China," Journal of Transport Geography, Elsevier, vol. 32(C), pages 1-11.

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