IDEAS home Printed from https://ideas.repec.org/p/cdl/uctcwp/qt72p9n6qt.html
   My bibliography  Save this paper

Residential Self Selection and Rail Commuting: A Nested Logit Analysis

Author

Listed:
  • Cervero, Robert
  • Duncan, Michael

Abstract

Past studies show that those living near train stations tend to rail-commute far more often than the typical resident of rail-served cities. Some contend this is largely due to selfselection, marked by those with an affinity to transit riding consciously moving into neighborhoods that are well-served by transit. This article explores the self-selection question by constructing a nested logit model that jointly estimates the probability someone will reside near a rail stop and in turn commute by rail transit, using year-2000 travel data from the San Francisco Bay Area. A multinomial logit model is also used to predict car ownership levels. The research reveals that residential location and commute choice are jointly related decisions among station-area residents. A comparison of odds ratios among those living near and away from transit, controlling for the influences of other factors, suggests that residential self-selection accounts for approximately 40 percent of the rail-commute decision. These findings suggest that supportive zoning should be introduced and barriers to residential mobility should be eliminated to allow the self-selection process to occur naturally through the marketplace.

Suggested Citation

  • Cervero, Robert & Duncan, Michael, 2008. "Residential Self Selection and Rail Commuting: A Nested Logit Analysis," University of California Transportation Center, Working Papers qt72p9n6qt, University of California Transportation Center.
    • Handle: RePEc:cdl:uctcwp:qt72p9n6qt
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/72p9n6qt.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cervero, Robert, 1993. "Ridership Impacts of Transit-Focused Development in California," University of California Transportation Center, Working Papers qt8sr9d86r, University of California Transportation Center.
    2. John Holtzclaw & Robert Clear & Hank Dittmar & David Goldstein & Peter Haas, 2002. "Location Efficiency: Neighborhood and Socio-Economic Characteristics Determine Auto Ownership and Use - Studies in Chicago, Los Angeles and San Francisco," Transportation Planning and Technology, Taylor & Francis Journals, vol. 25(1), pages 1-27, January.
    3. Hensher, David A. & Greene, William H., 2002. "Specification and estimation of the nested logit model: alternative normalisations," Transportation Research Part B: Methodological, Elsevier, vol. 36(1), pages 1-17, January.
    4. Cervero, Robert, 1994. "Transit-based housing in California: evidence on ridership impacts," Transport Policy, Elsevier, vol. 1(3), pages 174-183, June.
    5. Richard Voith, 1991. "Transportation, Sorting and House Values," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 19(2), pages 117-137, June.
    6. Boarnet, Marlon G. & Crane, Randall, 1995. "Public Finance and Transit-Oriented Planning: New Evidence from Southern California," University of California Transportation Center, Working Papers qt4v95x0tm, University of California Transportation Center.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kamruzzaman, Md. & Baker, Douglas & Washington, Simon & Turrell, Gavin, 2013. "Residential dissonance and mode choice," Journal of Transport Geography, Elsevier, vol. 33(C), pages 12-28.
    2. Zhao, Pengjun & Zhang, Yixue, 2018. "Travel behaviour and life course: Examining changes in car use after residential relocation in Beijing," Journal of Transport Geography, Elsevier, vol. 73(C), pages 41-53.
    3. Circella, Giovanni & Alemi, Farzad & Tiedeman, Kate & Handy, Susan & Mokhtarian, Patricia, 2018. "The Adoption of Shared Mobility in California and Its Relationship with Other Components of Travel Behavior," Institute of Transportation Studies, Working Paper Series qt1kq5d07p, Institute of Transportation Studies, UC Davis.
    4. Md. Kamruzzaman & Simon Washington & Douglas Baker & Wendy Brown & Billie Giles-Corti & Gavin Turrell, 2016. "Built environment impacts on walking for transport in Brisbane, Australia," Transportation, Springer, vol. 43(1), pages 53-77, January.
    5. Guang Li & Paat Rusmevichientong & Huseyin Topaloglu, 2015. "The d -Level Nested Logit Model: Assortment and Price Optimization Problems," Operations Research, INFORMS, vol. 63(2), pages 325-342, April.
    6. Renne, John L. & Hamidi, Shima & Ewing, Reid, 2016. "Transit commuting, the network accessibility effect, and the built environment in station areas across the United States," Research in Transportation Economics, Elsevier, vol. 60(C), pages 35-43.
    7. Md. Kamruzzaman & Simon Washington & Douglas Baker & Wendy Brown & Billie Giles-Corti & Gavin Turrell, 2016. "Built environment impacts on walking for transport in Brisbane, Australia," Transportation, Springer, vol. 43(1), pages 53-77, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cervero, Robert & Duncan, Michael, 2002. "Residential Self Selection and Rail Commuting: A Nested Logit Analysis," University of California Transportation Center, Working Papers qt1wg020cd, University of California Transportation Center.
    2. Cervero, Robert, 2006. "Transit Oriented Development’s Ridership Bonus: A Product of Self-Selection and Public Policies," University of California Transportation Center, Working Papers qt8jn8g0hc, University of California Transportation Center.
    3. Cervero, Robert & Bernick, Michael & Gilbert, Jill, 1994. "Market Opportunities and Barriers to Transit-Based Development in California," University of California Transportation Center, Working Papers qt2c01z5hw, University of California Transportation Center.
    4. Robert Cervero, 2007. "Transit-Oriented Development's Ridership Bonus: A Product of Self-Selection and Public Policies," Environment and Planning A, , vol. 39(9), pages 2068-2085, September.
    5. Cervero, Robert, 1996. "Mixed land-uses and commuting: Evidence from the American Housing Survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(5), pages 361-377, September.
    6. Boarnet, Marlon G. & Compin, Nicholas S., 1996. "Transit-Oriented Development in San Diego County: Incrementally Implementing a Comprehensive Idea," University of California Transportation Center, Working Papers qt52v7c5rr, University of California Transportation Center.
    7. Su, Qing, 2011. "The effect of population density, road network density, and congestion on household gasoline consumption in U.S. urban areas," Energy Economics, Elsevier, vol. 33(3), pages 445-452, May.
    8. Nasri, Arefeh & Zhang, Lei, 2014. "The analysis of transit-oriented development (TOD) in Washington, D.C. and Baltimore metropolitan areas," Transport Policy, Elsevier, vol. 32(C), pages 172-179.
    9. Cervero, Robert & Landis, John, 1997. "Twenty years of the Bay Area Rapid Transit system: Land use and development impacts," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(4), pages 309-333, July.
    10. Huang, Xiaoyan & Cao, Xinyu (Jason) & Cao, Xiaoshu & Yin, Jiangbin, 2016. "How does the propensity of living near rail transit moderate the influence of rail transit on transit trip frequency in Xi'an?," Journal of Transport Geography, Elsevier, vol. 54(C), pages 194-204.
    11. Pagliara, Francesca & Russo, Lucia & Aria, Massimo, 2021. "Measuring retailers’ perceptions of new metro stations inauguration," Land Use Policy, Elsevier, vol. 104(C).
    12. Cervero, Robert & Menotti, Val, 1994. "Market Profiles of Rail-Based Housing Projects in California," University of California Transportation Center, Working Papers qt89k664kz, University of California Transportation Center.
    13. Gregory Thompson & Jeffrey Brown & Torsha Bhattacharya, 2012. "What Really Matters for Increasing Transit Ridership: Understanding the Determinants of Transit Ridership Demand in Broward County, Florida," Urban Studies, Urban Studies Journal Limited, vol. 49(15), pages 3327-3345, November.
    14. Allard, Ryan F. & Moura, Filipe, 2018. "Effect of transport transfer quality on intercity passenger mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 109(C), pages 89-107.
    15. Guerra, Erick & Cervero, Robert & Tischler, Daniel, 2011. "The Half-Mile Circle: Does It Represent Transit Station Catchments?," University of California Transportation Center, Working Papers qt0d84c2f4, University of California Transportation Center.
    16. Cynthia Chen & Hongmian Gong & Robert Paaswell, 2008. "Role of the built environment on mode choice decisions: additional evidence on the impact of density," Transportation, Springer, vol. 35(3), pages 285-299, May.
    17. Yan, Zhen & Zhou, Jie-hong, 2015. "Measuring consumer heterogeneous preferences for pork traits under media reports: choice experiment in sixteen traceability pilot cities, China," 2015 Conference, August 9-14, 2015, Milan, Italy 212609, International Association of Agricultural Economists.
    18. Wang, Xiaoquan & Yin, Chaoying & Zhang, Junyi & Shao, Chunfu & Wang, Shengyou, 2021. "Nonlinear effects of residential and workplace built environment on car dependence," Journal of Transport Geography, Elsevier, vol. 96(C).
    19. Bo Wan & Xudan Zhao & Yuhan Sun & Tao Yang, 2023. "Unraveling the Impact of Spatial Configuration on TOD Function Mix Use and Spatial Intensity: An Analysis of 47 Morning Top-Flow Stations in Beijing (2018–2020)," Sustainability, MDPI, vol. 15(10), pages 1-27, May.
    20. Peter Berck & Sofia Tano & Olle Westerlund, 2016. "Regional Sorting of Human Capital: The Choice of Location among Young Adults in Sweden," Regional Studies, Taylor & Francis Journals, vol. 50(5), pages 757-770, May.

    More about this item

    Keywords

    Architecture;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:uctcwp:qt72p9n6qt. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucbus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.