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Estimating the effect of land use and transportation planning on travel patterns: Three problems in controlling for residential self-selection

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  • Chatman, Daniel

    (University of California, University of California, Berkeley)

Abstract

The common understanding of “residential self-selection” generally found in research on the effects of the built environment on travel is in error in three main ways. First, scholars have generally failed to recognize that the built environment may have different effects on travel for different households. Second, controlling for residential self-selection is not necessarily relevant to the predictive questions that controlled estimates are meant to inform. Third, in controlling for preferences and sorting, the literature has failed to account for the composition of the population and its consequences for housing demand. These problems may significantly influence the validity and usefulness of the research.

Suggested Citation

  • Chatman, Daniel, 2014. "Estimating the effect of land use and transportation planning on travel patterns: Three problems in controlling for residential self-selection," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(3), pages 47-56.
    • Handle: RePEc:ris:jtralu:0142
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    References listed on IDEAS

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    1. Pinjari, Abdul Rawoof & Bhat, Chandra R. & Hensher, David A., 2009. "Residential self-selection effects in an activity time-use behavior model," Transportation Research Part B: Methodological, Elsevier, vol. 43(7), pages 729-748, August.
    2. Bert van Wee, 2009. "Self‐Selection: A Key to a Better Understanding of Location Choices, Travel Behaviour and Transport Externalities?," Transport Reviews, Taylor & Francis Journals, vol. 29(3), pages 279-292, January.
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    Cited by:

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    3. Mohammed Aljoufie, 2021. "The Impact Assessment of Increasing Population Density on Jeddah Road Transportation Using Spatial-Temporal Analysis," Sustainability, MDPI, vol. 13(3), pages 1-17, January.
    4. Holz-Rau, Christian & Scheiner, Joachim, 2020. "Raum und Verkehr - ein Feld komplexer Wirkungsbeziehungen: Können Interventionen in die gebaute Umwelt klimawirksame Verkehrsemissionen wirklich senken?," Forschungsberichte der ARL: Aufsätze, in: Reutter, Ulrike & Holz-Rau, Christian & Albrecht, Janna & Hülz, Martina (ed.), Wechselwirkungen von Mobilität und Raumentwicklung im Kontext gesellschaftlichen Wandels, volume 14, pages 76-101, ARL – Akademie für Raumentwicklung in der Leibniz-Gemeinschaft.
    5. Arefeh Nasri & Carlos Carrion & Lei Zhang & Babak Baghaei, 2020. "Using propensity score matching technique to address self-selection in transit-oriented development (TOD) areas," Transportation, Springer, vol. 47(1), pages 359-371, February.
    6. Holz-Rau, Christian & Scheiner, Joachim, 2019. "Land-use and transport planning – A field of complex cause-impact relationships. Thoughts on transport growth, greenhouse gas emissions and the built environment," Transport Policy, Elsevier, vol. 74(C), pages 127-137.
    7. Bondemark, Anders, 2023. "Walk this way how do individuals with different preferences for active travel modes respond to walkability?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    8. Muñiz, Ivan & Sánchez, Vania, 2018. "Urban Spatial Form and Structure and Greenhouse-gas Emissions From Commuting in the Metropolitan Zone of Mexico Valley," Ecological Economics, Elsevier, vol. 147(C), pages 353-364.
    9. Rahman, Mashrur & Sciara, Gian-Claudia, 2022. "Travel attitudes, the built environment and travel behavior relationships: Causal insights from social psychology theories," Transport Policy, Elsevier, vol. 123(C), pages 44-54.
    10. van de Coevering, Paul & Maat, Kees & van Wee, Bert, 2021. "Causes and effects between attitudes, the built environment and car kilometres: A longitudinal analysis," Journal of Transport Geography, Elsevier, vol. 91(C).
    11. 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.
    12. 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.
    13. Wolday, Fitwi & Cao, Jason & Næss, Petter, 2018. "Examining factors that keep residents with high transit preference away from transit-rich zones and associated behavior outcomes," Journal of Transport Geography, Elsevier, vol. 66(C), pages 224-234.
    14. van de Coevering, Paul & Maat, Kees & van Wee, Bert, 2018. "Residential self-selection, reverse causality and residential dissonance. A latent class transition model of interactions between the built environment, travel attitudes and travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 466-479.
    15. Haotian Zhong & Wei Li & Marlon G Boarnet, 2021. "A two-dimensional propensity score matching method for longitudinal quasi-experimental studies: A focus on travel behavior and the built environment," Environment and Planning B, , vol. 48(7), pages 2110-2122, September.
    16. Evan Iacobucci, 2024. "“Would it be weird to live here without a car?”: Using social media to understand car ownership decisions," Transportation, Springer, vol. 51(2), pages 475-500, April.
    17. Cao, Xinyu (Jason), 2015. "Heterogeneous effects of neighborhood type on commute mode choice: An exploration of residential dissonance in the Twin Cities," Journal of Transport Geography, Elsevier, vol. 48(C), pages 188-196.

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    More about this item

    Keywords

    Residential self-selection; Travel behavior; Land use;
    All these keywords.

    JEL classification:

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

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