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Work and Home Location: Possible Role of Social Networks

Author

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  • Nebiyou Tilahun
  • David Levinson

    (Nexus (Networks, Economics, and Urban Systems) Research Group, Department of Civil Engineering, University of Minnesota)

Abstract

This research explores to what extent people's work locations are similar to that of those who live around them. Using the Longitudinal Economic and Household Dynamics data set and the US census for the Twin Cities (Minneapolis-St. Paul) metropolitan area, we investigate the home and work locations of different census block residents. Our aim is to investigate if people who live close to one another, also work close to one another to a degree beyond what would be expected at random. We find a significantly non-random correlation between joint home and joint work locations. Further, we show what features of particular neighborhoods are associated with comparatively higher incidences of people sharing work locations. One reason for such an outcome can be the role neighborhood level social networks play in locating jobs; or conversely work place social networks play in choosing the home location or both. Such findings should be used to refine work trip distribution models that otherwise depend mainly on impedance between the origin and destination.

Suggested Citation

  • Nebiyou Tilahun & David Levinson, 2006. "Work and Home Location: Possible Role of Social Networks," Working Papers 201102, University of Minnesota: Nexus Research Group.
    • Handle: RePEc:nex:wpaper:workhomesocialnetworks
    as

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    File URL: http://hdl.handle.net/11299/180008
    File Function: First version, 2007
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    References listed on IDEAS

    as
    1. Devine, T. J. & Kiefer, N. M., 1995. "The empirical status of job search theory," Labour Economics, Elsevier, vol. 2(1), pages 101-101, March.
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    3. Douglas Massey & Nancy Denton, 1989. "Hypersegregation in U.S. Metropolitan Areas: Black and Hispanic Segregation Along Five Dimensions," Demography, Springer;Population Association of America (PAA), vol. 26(3), pages 373-391, August.
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    5. repec:adr:anecst:y:2003:i:71-72:p:06 is not listed on IDEAS
    6. Cattell, Vicky, 2001. "Poor people, poor places, and poor health: the mediating role of social networks and social capital," Social Science & Medicine, Elsevier, vol. 52(10), pages 1501-1516, May.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Davidson, Joshua H. & Ryerson, Megan S., 2021. "Modeling regional disparity and the reverse commute," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 124-139.
    2. Carlos Carrion & Nebiyou Tilahun & David Levinson, 2011. "Monte Carlo Simulation of Adaptive Stated Preference Survey with a case study: Effects of Aggregate Mode Shares on Individual Mode Choice," Working Papers 000093, University of Minnesota: Nexus Research Group.
    3. Andrew Owen & David Levinson, 2015. "Developing a Comprehensive US Transit Accessibility Database," Working Papers 000141, University of Minnesota: Nexus Research Group.
    4. Owen, Andrew & Levinson, David M., 2015. "Modeling the commute mode share of transit using continuous accessibility to jobs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 110-122.
    5. Elldér, Erik, 2014. "Residential location and daily travel distances: the influence of trip purpose," Journal of Transport Geography, Elsevier, vol. 34(C), pages 121-130.
    6. Johannes Illenberger & Kai Nagel & Gunnar Flötteröd, 2013. "The Role of Spatial Interaction in Social Networks," Networks and Spatial Economics, Springer, vol. 13(3), pages 255-282, September.
    7. Aiga Stokenberga, 2019. "How family networks drive residential location choices: Evidence from a stated preference field experiment in Bogotá, Colombia," Urban Studies, Urban Studies Journal Limited, vol. 56(2), pages 368-384, February.
    8. Michael Smart, 2015. "A nationwide look at the immigrant neighborhood effect on travel mode choice," Transportation, Springer, vol. 42(1), pages 189-209, January.
    9. Acheampong, Ransford A., 2018. "Towards incorporating location choice into integrated land use and transport planning and policy: A multi-scale analysis of residential and job location choice behaviour," Land Use Policy, Elsevier, vol. 78(C), pages 397-409.

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    More about this item

    Keywords

    Social Networks; Trip Distribution; Destination Choice; Work; Commuting; Residential Location;
    All these keywords.

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General

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