IDEAS home Printed from https://ideas.repec.org/a/spr/anresc/v68y2022i1d10.1007_s00168-021-01070-1.html
   My bibliography  Save this article

How does the length of residence in a neighborhood vary the effects of neighborhood land use on commuting trip time and mode choice?

Author

Listed:
  • Tae-Hyoung Tommy Gim

    (Seoul National University)

Abstract

Recent studies that estimated the land use–travel relationship while controlling for residential self-selection mostly acknowledged the potential for the self-selection in the reverse direction according to learning and self-justification over time. Thus, this study empirically tests how the relationship varies by the length of time after residential move in Seoul, South Korea. Analytical results show that population density encourages the choice of automobile alternatives in extreme cases, that is, for newly moved first-year residents who decided to tolerate congestion and for longtime residents of 4 years or more who had a due chance to learn and appreciate neighborhood travel options and also, it extends commuting time for these short and longtime residents. Employment density reduces commuting time for all but longtime residents because of better jobs–housing balance while it is not necessarily accompanied by mode choice variations. Street intersection density is associated with commuting time variations in all cases. Land use balance entropy is unrelated to the time variations, but consistently related to the alternative mode choice, and possibly beneficial to trip-chaining. While public transit densities are classified into subway and bus densities, the former turns out to be significant regarding commuting time and mode choice for most residents, but the latter only for first-year residents. Particularly on the mode choice, the gradual learning effect is associated with subway density (significant after 1 year), whereas the self-justification effect by bus density is rather quick, but not lasting (significant only for 1 year).

Suggested Citation

  • Tae-Hyoung Tommy Gim, 2022. "How does the length of residence in a neighborhood vary the effects of neighborhood land use on commuting trip time and mode choice?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(1), pages 95-123, February.
    • Handle: RePEc:spr:anresc:v:68:y:2022:i:1:d:10.1007_s00168-021-01070-1
    DOI: 10.1007/s00168-021-01070-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00168-021-01070-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s00168-021-01070-1?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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," University of California Transportation Center, Working Papers qt8bz3z5qm, University of California Transportation Center.
    2. Tim Schwanen & Frans M. Dieleman & Martin Dijst, 2004. "The Impact of Metropolitan Structure on Commute Behavior in the Netherlands: A Multilevel Approach," Growth and Change, Wiley Blackwell, vol. 35(3), pages 304-333, September.
    3. Tae‐Hyoung Tommy Gim, 2018. "Land use, travel utility and travel behaviour: An analysis from the perspective of the positive utility of travel," Papers in Regional Science, Wiley Blackwell, vol. 97(S1), pages 169-192, March.
    4. Anonymous, 2014. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 9(2), pages 109-110, August.
    5. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    6. Cao, Jason, 2014. "Residential self-selection in the relationships between the built environment and travel behavior: Introduction to the special issue," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(3), pages 1-3.
    7. Reibstein, David J & Lovelock, Christopher H & Dobson, Ricardo de P, 1980. "The Direction of Causality between Perceptions, Affect, and Behavior: An Application to Travel Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 6(4), pages 370-376, March.
    8. 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.
    9. Xinyu (Jason) Cao, 2009. "Disentangling the influence of neighborhood type and self-selection on driving behavior: an application of sample selection model," Transportation, Springer, vol. 36(2), pages 207-222, March.
    10. Lee, Yongsung & Guhathakurta, Subhrajit, 2018. "An analysis of the effects of suburban densification on vehicle use for shopping: Do existing residents respond to land-use changes in the same way as recent movers?," Journal of Transport Geography, Elsevier, vol. 68(C), pages 193-204.
    11. Macfarlane, Gregory S. & Garrow, Laurie A. & Mokhtarian, Patricia L., 2015. "The influences of past and present residential locations on vehicle ownership decisions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 186-200.
    12. Anonymous, 2014. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 9(1), pages 1-2, May.
    13. Xinyu Cao & Patricia L Mokhtarian & Susan L Handy, 2007. "Cross-Sectional and Quasi-Panel Explorations of the Connection between the Built Environment and Auto Ownership," Environment and Planning A, , vol. 39(4), pages 830-847, April.
    14. Van Acker, Veronique & Witlox, Frank, 2010. "Car ownership as a mediating variable in car travel behaviour research using a structural equation modelling approach to identify its dual relationship," Journal of Transport Geography, Elsevier, vol. 18(1), pages 65-74.
    15. Ron Johnston & Carol Propper & Rebecca Sarker & Kelvyn Jones & Anne Bolster & Simon Burgess, 2005. "Neighbourhood Social Capital and Neighbourhood Effects," Environment and Planning A, , vol. 37(8), pages 1443-1459, August.
    16. Wendy Bohte & Kees Maat & Bert van Wee, 2009. "Measuring Attitudes in Research on Residential Self‐Selection and Travel Behaviour: A Review of Theories and Empirical Research," Transport Reviews, Taylor & Francis Journals, vol. 29(3), pages 325-357, February.
    17. Wang, Dongeen & Lin, Tao, 2014. "Residential self-selection, built environment, and travel behavior in the Chinese context," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(3), pages 5-14.
    18. Tae-Hyoung Gim, 2012. "A meta-analysis of the relationship between density and travel behavior," Transportation, Springer, vol. 39(3), pages 491-519, May.
    19. Boarnet, Marlon & Crane, Randall, 2001. "The influence of land use on travel behavior: specification and estimation strategies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(9), pages 823-845, November.
    Full references (including those not matched with items on IDEAS)

    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. Tae-Hyoung Tommy Gim, 2023. "Residential self-selection or socio-ecological interaction? the effects of sociodemographic and attitudinal characteristics on the built environment–travel behavior relationship," Transportation, Springer, vol. 50(4), pages 1347-1398, August.
    2. 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.
    3. Humphreys, John & Ahern, Aoife, 2019. "Is travel based residential self-selection a significant influence in modal choice and household location decisions?," Transport Policy, Elsevier, vol. 75(C), pages 150-160.
    4. Lin, Tao & Wang, Donggen & Guan, Xiaodong, 2017. "The built environment, travel attitude, and travel behavior: Residential self-selection or residential determination?," Journal of Transport Geography, Elsevier, vol. 65(C), pages 111-122.
    5. Guan, Xiaodong & Wang, Donggen, 2019. "Influences of the built environment on travel: A household-based perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 710-724.
    6. Phani Kumar, P. & Ravi Sekhar, Ch. & Parida, Manoranjan, 2018. "Residential dissonance in TOD neighborhoods," Journal of Transport Geography, Elsevier, vol. 72(C), pages 166-177.
    7. Tae-Hyoung Gim, 2012. "A meta-analysis of the relationship between density and travel behavior," Transportation, Springer, vol. 39(3), pages 491-519, May.
    8. Adam Millard-Ball & Jeremy West & Nazanin Rezaei & Garima Desai, 2022. "What do residential lotteries show us about transportation choices?," Urban Studies, Urban Studies Journal Limited, vol. 59(2), pages 434-452, February.
    9. Faan Chen & Adriano Borges Costa, 2024. "Exploring the causal effects of the built environment on travel behavior: a unique randomized experiment in Shanghai," Transportation, Springer, vol. 51(1), pages 215-245, February.
    10. Donggen Wang & Tao Lin, 2019. "Built environment, travel behavior, and residential self-selection: a study based on panel data from Beijing, China," Transportation, Springer, vol. 46(1), pages 51-74, February.
    11. Jonas De Vos & Long Cheng & Frank Witlox, 2021. "Do changes in the residential location lead to changes in travel attitudes? A structural equation modeling approach," Transportation, Springer, vol. 48(4), pages 2011-2034, August.
    12. Guan, Xiaodong & Wang, Donggen, 2020. "The multiplicity of self-selection: What do travel attitudes influence first, residential location or work place?," Journal of Transport Geography, Elsevier, vol. 87(C).
    13. Cao, Xinyu Jason, 2019. "Examining the effect of the Hiawatha LRT on auto use in the Twin Cities," Transport Policy, Elsevier, vol. 81(C), pages 284-292.
    14. Houshmand Masoumi & Atif Bilal Aslam & Irfan Ahmad Rana & Muhammad Ahmad & Nida Naeem, 2022. "Relationship of Residential Location Choice with Commute Travels and Socioeconomics in the Small Towns of South Asia: The Case of Hafizabad, Pakistan," Sustainability, MDPI, vol. 14(6), pages 1-15, March.
    15. Tae-Hyoung Tommy Gim, 2016. "Testing the Reciprocal Relationship between Attitudes and Land Use in Relation to Trip Frequencies," International Regional Science Review, , vol. 39(2), pages 203-227, April.
    16. 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).
    17. 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.
    18. Chetan Doddamani & M. Manoj, 2023. "Analysis of the influences of built environment measures on household car and motorcycle ownership decisions in Hubli-Dharwad cities," Transportation, Springer, vol. 50(1), pages 205-243, February.
    19. Zhao, Juanjuan & Ren, Huan & Gu, Yan & Pan, Haojie, 2023. "Relationships between the residential environment, travel attitude and behaviour among knowledge workers: The role of job types," Journal of Transport Geography, Elsevier, vol. 106(C).
    20. Shen, Qing & Chen, Peng & Pan, Haixiao, 2016. "Factors affecting car ownership and mode choice in rail transit-supported suburbs of a large Chinese city," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 31-44.

    More about this item

    JEL classification:

    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

    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:spr:anresc:v:68:y:2022:i:1:d:10.1007_s00168-021-01070-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.