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The Role of Employment Subcenters in Residential Location Decisions

Author

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  • Cho, Eun Joo

    (University of North Carolina Chapel Hill)

  • Rodriguez, Daniel

    (University of North Carolina Chapel Hill)

  • Song, Yan

    (University of North Carolina Chapel Hill)

Abstract

In this paper we employ Mecklenburg County, North Carolina, a polycentric city with 10 employment subcenters, as a case study to explore the role of employment subcenters in determining residential location decisions. We estimate discrete choice models of residential location decisions: conditional logit models and heteroscedastic logit models with both the full choice set and sampled choices. We find that access to certain employment subcenters, measured in terms of generalized cost, is an important determinant of households’ residential location decisions. The proximity to specific employment subcenters varies across households with different income levels. These patterns can be explained by existing land use and transportation patterns, as well as by subcenters’ economic specialization.

Suggested Citation

  • Cho, Eun Joo & Rodriguez, Daniel & Song, Yan, 2008. "The Role of Employment Subcenters in Residential Location Decisions," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 1(2), pages 121-151.
    • Handle: RePEc:ris:jtralu:0012
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    Cited by:

    1. Yves Crozet & Aurélie Mercier & Nicolas Ovtracht, 2012. "Accessibility: a key indicator to assess the past and future of urban mobility," Chapters, in: Karst T. Geurs & Kevin J. Krizek & Aura Reggiani (ed.), Accessibility Analysis and Transport Planning, chapter 15, pages 263-279, Edward Elgar Publishing.
    2. Ioannis Baraklianos & Louafi Bouzouina & Patrick Bonnel & Hind Aissaoui, 2020. "Does the accessibility measure influence the results of residential location choice modelling?," Transportation, Springer, vol. 47(3), pages 1147-1176, June.
    3. 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.
    4. Levinson, David M & Krizek, Kevin, 2008. "From the Editors," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 1(2), pages 1-3.
    5. Gi-Hyoug Cho & Daniel Rodriguez, 2015. "Location or design? Associations between neighbourhood location, built environment and walking," Urban Studies, Urban Studies Journal Limited, vol. 52(8), pages 1434-1453, June.
    6. Levinson, David & El-Geneidy, Ahmed, 2009. "The minimum circuity frontier and the journey to work," Regional Science and Urban Economics, Elsevier, vol. 39(6), pages 732-738, November.
    7. Piotr Rosik & Sławomir Goliszek & Tomasz Komornicki & Patryk Duma, 2021. "Forecast of the Impact of Electric Car Battery Performance and Infrastructural and Demographic Changes on Cumulative Accessibility for the Five Most Populous Cities in Poland," Energies, MDPI, vol. 14(24), pages 1-12, December.
    8. Chunil Kim & Choongik Choi, 2019. "Towards Sustainable Urban Spatial Structure: Does Decentralization Reduce Commuting Times?," Sustainability, MDPI, vol. 11(4), pages 1-28, February.
    9. Yang Wang & Kangmin Wu & Jing Qin & Changjian Wang & Hong’ou Zhang, 2020. "Examining Spatial Heterogeneity Effects of Landscape and Environment on the Residential Location Choice of the Highly Educated Population in Guangzhou, China," Sustainability, MDPI, vol. 12(9), pages 1-20, May.
    10. Yang Wang & Xiaoli Yue & Hong’ou Zhang & Yongxian Su & Jing Qin, 2021. "Relationship between Urban Floating Population Distribution and Livability Environment: Evidence from Guangzhou’s Urban District, China," Sustainability, MDPI, vol. 13(23), pages 1-15, December.
    11. Matt Kures & Steven C. Deller, 2023. "Growth in Commuting Patterns and Their Impacts on Rural Workforce and Economic Development," Economic Development Quarterly, , vol. 37(1), pages 54-63, February.
    12. Sener, Ipek N. & Pendyala, Ram M. & Bhat, Chandra R., 2011. "Accommodating spatial correlation across choice alternatives in discrete choice models: an application to modeling residential location choice behavior," Journal of Transport Geography, Elsevier, vol. 19(2), pages 294-303.

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    More about this item

    Keywords

    Residential Location Choice; Employment subcenters; Access; Choice models;
    All these keywords.

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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