IDEAS home Printed from https://ideas.repec.org/a/sae/envira/v42y2010i4p913-930.html
   My bibliography  Save this article

Reexamining the Influence of Work and Nonwork Accessibility on Residential Location Choices with a Microanalytic Framework

Author

Listed:
  • Brian H Y Lee

    (School of Engineering, and Transportation Research Center, University of Vermont, Farrell Hall 114, 210 Colchester Avenue, Burlington, VT 05405-0303, USA)

  • Paul Waddell

    (Department of City and Regional Planning, University of California, Berkeley, 228 Wurster Hall, Room 1850, Berkeley, CA 94720-1850, USA)

  • Liming Wang

    (Institute of Urban and Regional Development, University of California, Berkeley, 316 Wurster Hall, Room 1870, Berkeley, CA 94720-1870, USA)

  • Ram M Pendyala

    (Department of Civil and Environmental Engineering, Arizona State University, Room ECG252, Tempe, AZ 85287-5306, USA)

Abstract

The concept of accessibility has long been theorized as a principal determinant of residential choice behavior. Research on this influence is extensive but the empirical results have been mixed, with some research suggesting that accessibility is becoming a relatively insignificant influence on housing choices. Further, the measurement of accessibility must contend with complications arising from the increasing prevalence of trip chains, nonwork activities, and multiworker households, and also reconcile person-specific travel needs with household residential decisions. With this paper we contribute to the literature by addressing the gap framed by these issues and present a novel residential choice model with three main elements of innovation. First, we operationalize a time–space prism (TSP) accessibility measure, which we believe to be the first application of its kind in a residential choice model. Second, we represent the choice sets in a building-level framework—the lowest level of spatial disaggregation available for modeling residential choices. Third, we explicitly examine the influence of nonwork accessibility at both the local and the person level. This residential choice model is applied in the central Puget Sound region using a 2006 household activity survey. The model estimation results confirm that accessibility remains an important influence, with individual-specific work accessibility as the most critical consideration. By using the TSP approach we establish that nonwork accessibility in a trip-chaining context does contribute to the residential choice decision, even after accounting for work accessibility. Empirical tests also reveal a useful aggregation method to incorporate individual-specific accessibility measures into a household-level choice model.

Suggested Citation

  • Brian H Y Lee & Paul Waddell & Liming Wang & Ram M Pendyala, 2010. "Reexamining the Influence of Work and Nonwork Accessibility on Residential Location Choices with a Microanalytic Framework," Environment and Planning A, , vol. 42(4), pages 913-930, April.
    • Handle: RePEc:sae:envira:v:42:y:2010:i:4:p:913-930
    DOI: 10.1068/a4291
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/a4291
    Download Restriction: no
    File URL: https://libkey.io/10.1068/a4291?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Mokhtarian, Patricia L. & Cao, Xinyu, 2008. "Examining the impacts of residential self-selection on travel behavior: A focus on methodologies," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 204-228, March.
    2. Genevieve Giuliano & Kenneth A. Small, 1993. "Is the Journey to Work Explained by Urban Structure?," Urban Studies, Urban Studies Journal Limited, vol. 30(9), pages 1485-1500, November.
    3. Ng, Chen Feng, 2008. "Commuting distances in a household location choice model with amenities," Journal of Urban Economics, Elsevier, vol. 63(1), pages 116-129, January.
    4. Handy, Susan, 1993. "Regional Versus Local Accessibility: Implications for Nonwork Travel," University of California Transportation Center, Working Papers qt2z79q67d, University of California Transportation Center.
    5. Berry Blijie, 2005. "The impact of accessibility on residential choice - empirical results of a discrete choice model," ERSA conference papers ersa05p626, European Regional Science Association.
    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. Marc Brechot & Stephan Nüesch & Egon Franck, 2017. "Does sports activity improve health? Representative evidence using local density of sports facilities as an instrument," Applied Economics, Taylor & Francis Journals, vol. 49(48), pages 4871-4884, October.
    2. André de Palma & Nathalie Picard & Ignacio Inoa, 2014. "Discrete choice decision-making with multiple decision-makers within the household," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 16, pages 363-382, Edward Elgar Publishing.
    3. Konstadinos G. Goulias & Ram M. Pendyala, 2014. "Choice context," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 5, pages 101-130, Edward Elgar Publishing.
    4. Ho, Chinh Q. & Hensher, David A. & Ellison, Richard, 2017. "Endogenous treatment of residential location choices in transport and land use models: Introducing the MetroScan framework," Journal of Transport Geography, Elsevier, vol. 64(C), pages 120-131.
    5. 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.
    6. Downs, Joni A. & Horner, Mark W., 2012. "Probabilistic potential path trees for visualizing and analyzing vehicle tracking data," Journal of Transport Geography, Elsevier, vol. 23(C), pages 72-80.
    7. Ma, Shuhong & Kockelman, Kara M., 2016. "Welfare Measures to Reflect Home Location Options When Transportation Systems Are Modified," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 55(01), April.

    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. Faizeh Hatami & Jean-Claude Thill, 2022. "Spatiotemporal Evaluation of the Built Environment’s Impact on Commuting Duration," Sustainability, MDPI, vol. 14(12), pages 1-19, June.
    2. Luz, Gregório & Barboza, Matheus H.C. & Portugal, Licinio & Giannotti, Mariana & van Wee, Bert, 2022. "Does better accessibility help to reduce social exclusion? Evidence from the city of São Paulo, Brazil," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 186-217.
    3. Reichelt, Malte & Haas, Anette, 2015. "Commuting farther and earning more? : how employment density moderates workers commuting distance," IAB-Discussion Paper 201533, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    4. Jahanshahi, Kaveh & Jin, Ying & Williams, Ian, 2015. "Direct and indirect influences on employed adults’ travel in the UK: New insights from the National Travel Survey data 2002–2010," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 288-306.
    5. Cynthia Chen & Haiyun Lin, 2011. "Decomposing Residential Self-Selection via a Life-Course Perspective," Environment and Planning A, , vol. 43(11), pages 2608-2625, November.
    6. Tae-Hyoung Gim, 2012. "A meta-analysis of the relationship between density and travel behavior," Transportation, Springer, vol. 39(3), pages 491-519, May.
    7. Jiangping, Zhou & Chun, Zhang & Xiaojian, Chen & Wei, Huang & Peng, Yu, 2014. "Has the legacy of Danwei persisted in transformations? the jobs-housing balance and commuting efficiency in Xi’an," Journal of Transport Geography, Elsevier, vol. 40(C), pages 64-76.
    8. Salon, Deborah, 2015. "Heterogeneity in the relationship between the built environment and driving: Focus on neighborhood type and travel purpose," Research in Transportation Economics, Elsevier, vol. 52(C), pages 34-45.
    9. Etminani-Ghasrodashti, Roya & Ardeshiri, Mahyar, 2015. "Modeling travel behavior by the structural relationships between lifestyle, built environment and non-working trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 506-518.
    10. Mitra, Suman K. & Saphores, Jean-Daniel M., 2019. "Why do they live so far from work? Determinants of long-distance commuting in California," Journal of Transport Geography, Elsevier, vol. 80(C).
    11. repec:osf:socarx:2p896_v1 is not listed on IDEAS
    12. Chowdhury, Tufayel & Scott, Darren M., 2020. "An analysis of the built environment and auto travel in Halifax, Canada," Transport Policy, Elsevier, vol. 94(C), pages 23-33.
    13. Lee, Changyeon, 2020. "Impacts of two-scale urban form and their combined effects on commute modes in U.S. metropolitan areas," Journal of Transport Geography, Elsevier, vol. 88(C).
    14. Cervero, Robert & Duncan, Michael, 2008. "Which Reduces Vehicle Travel More: Jobs-Housing Balauce or Retail-Housing Mixing?," University of California Transportation Center, Working Papers qt1s110395, University of California Transportation Center.
    15. Cervero, Robert & Duncan, Michael, 2006. "Balanced Growth, Travel Demand, and Physical Activity," University of California Transportation Center, Working Papers qt5c95t59t, University of California Transportation Center.
    16. Reid Ewing & Shima Hamidi & James B Grace, 2016. "Compact development and VMT—Environmental determinism, self-selection, or some of both?," Environment and Planning B, , vol. 43(4), pages 737-755, July.
    17. Andrew Perumal & David Timmons, 2017. "Contextual Density and US Automotive CO2 Emissions across the Rural–Urban Continuum," International Regional Science Review, , vol. 40(6), pages 590-615, November.
    18. 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.
    19. Ding, Chuan & Wang, Donggen & Liu, Chao & Zhang, Yi & Yang, Jiawen, 2017. "Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 65-80.
    20. Van Acker, Veronique & Ho, Loan & Stevens, Larissa & Mulley, Corinne, 2020. "Quantifying the effects of childhood and previous residential experiences on the use of public transport," Journal of Transport Geography, Elsevier, vol. 86(C).
    21. Ding, Yu & Lu, Huapu, 2016. "Activity participation as a mediating variable to analyze the effect of land use on travel behavior: A structural equation modeling approach," Journal of Transport Geography, Elsevier, vol. 52(C), pages 23-28.

    More about this item

    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:sae:envira:v:42:y:2010:i:4:p:913-930. 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: SAGE Publications (email available below). General contact details of provider: .

    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.