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Heterogeneity in the relationship between the built environment and driving: Focus on neighborhood type and travel purpose

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  • Salon, Deborah

Abstract

Global concern about fossil fuel use and associated environmental externalities has led many governments to consider actions that encourage their residents to drive less. This research uses empirical analysis of travel survey data to estimate the relationship between built environment characteristics and vehicle miles traveled (VMT) in California. The work improves upon past research in two key ways. First, it employs a novel approach to control for residential self-selection, categorizing neighborhoods into types and using these as the alternatives in a predictive model of neighborhood type choice. Second, it focuses on exploring and understanding heterogeneity in the relationship between the built environment and VMT across two dimensions – neighborhood type and travel purpose.

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  • 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.
    • Handle: RePEc:eee:retrec:v:52:y:2015:i:c:p:34-45
    DOI: 10.1016/j.retrec.2015.10.008
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    2. Charles Raux & Ayana Lamatkhanova & Lény Grassot, 2021. "Does the built environment shape commuting? The case of Lyon (France)," Post-Print halshs-03010833, HAL.
    3. Charles Raux & Ayana Lamatkhanova & Lény Grassot, 2020. "Does the built environment shape commuting? The case of Lyon (France)," Working Papers halshs-03010833, HAL.
    4. Circella, Giovanni & Alemi, Farzad & Tiedeman, Kate & Berliner, Rosaria M & Lee, Yongsung & Fulton, Lew & Mokhtarian, Patricia L & Handy , Susan, 2017. "What Affects Millennials’ Mobility? PART II: The Impact of Residential Location, Individual Preferences and Lifestyles on Young Adults’ Travel Behavior in California," Institute of Transportation Studies, Working Paper Series qt5kc117kj, Institute of Transportation Studies, UC Davis.
    5. Rodier, Caroline, 2018. "The Effects of Ride Hailing Services on Travel and Associated Greenhouse Gas Emissions," Institute of Transportation Studies, Working Paper Series qt2rv570tt, Institute of Transportation Studies, UC Davis.
    6. Ada Wolny & Marek Ogryzek & Ryszard Źróbek, 2019. "Towards Sustainable Development and Preventing Exclusions—Determining Road Accessibility at the Sub-Regional and Local Level in Rural Areas of Poland," Sustainability, MDPI, vol. 11(18), pages 1-21, September.
    7. David R. Heres & Rafael Dávila-Bugarín, 2020. "The impact of urban form on vehicle fuel consumption in Mexican metropolitan areas," EKONOMIAZ. Revista vasca de Economía, Gobierno Vasco / Eusko Jaurlaritza / Basque Government, vol. 97(01), pages 241-263.
    8. Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Comparisons of observed and unobserved parameter heterogeneity in modeling vehicle-miles driven," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    9. Feuillet, Thierry & Bulteau, Julie & Dantan, Sophie, 2021. "Modelling context-specific relationships between neighbourhood socioeconomic disadvantage and private car use," Journal of Transport Geography, Elsevier, vol. 93(C).
    10. Ao, Yibin & Yang, Dujuan & Chen, Chuan & Wang, Yan, 2019. "Exploring the effects of the rural built environment on household car ownership after controlling for preference and attitude: Evidence from Sichuan, China," Journal of Transport Geography, Elsevier, vol. 74(C), pages 24-36.
    11. 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.
    12. Ralph, Kelcie & Voulgaris, Carole Turley & Taylor, Brian D. & Blumenberg, Evelyn & Brown, Anne E., 2016. "Millennials, built form, and travel insights from a nationwide typology of U.S. neighborhoods," Journal of Transport Geography, Elsevier, vol. 57(C), pages 218-226.
    13. Ding, Chuan & Cao, Xinyu (Jason) & Næss, Petter, 2018. "Applying gradient boosting decision trees to examine non-linear effects of the built environment on driving distance in Oslo," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 107-117.
    14. Chakraborty, Debapriya & Bunch, David S. & Xu, Bingzheng & Brownstone, David & Tal, Gil, 2021. "Plug-in Electric Vehicle Diffusion in California: Role of Exposure to New Technology at Home and Work," Institute of Transportation Studies, Working Paper Series qt7fs8295j, Institute of Transportation Studies, UC Davis.
    15. Chakraborty, Debapriya & Bunch, David S. & Brownstone, David & Xu, Bingzheng & Tal, Gil, 2022. "Plug-in electric vehicle diffusion in California: Role of exposure to new technology at home and work," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 133-151.
    16. Malik, Jai & Bunch, David S. & Handy, Susan & Circella, Giovanni, 2021. "A deeper investigation into the effect of the built environment on the use of ridehailing for non-work travel," Journal of Transport Geography, Elsevier, vol. 91(C).
    17. Alemi, Farzad & Circella, Giovanni & Mokhtarian, Patricia & Handy, Susan, 2018. "Exploring the latent constructs behind the use of ridehailing in California," Journal of choice modelling, Elsevier, vol. 29(C), pages 47-62.
    18. Erik Elldér & Katarina Haugen & Bertil Vilhelmson, 2022. "When local access matters: A detailed analysis of place, neighbourhood amenities and travel choice," Urban Studies, Urban Studies Journal Limited, vol. 59(1), pages 120-139, January.
    19. Brown, Austin L. & Sperling, Daniel & Austin, Bernadette & DeShazo, JR & Fulton, Lew & Lipman, Timothy & Murphy, Colin W & Saphores, Jean Daniel & Tal, Gil & Abrams, Carolyn & Chakraborty, Debapriya &, 2021. "Driving California’s Transportation Emissions to Zero," Institute of Transportation Studies, Working Paper Series qt3np3p2t0, Institute of Transportation Studies, UC Davis.
    20. Kim, Sung Hoo & Mokhtarian, Patricia L., 2018. "Taste heterogeneity as an alternative form of endogeneity bias: Investigating the attitude-moderated effects of built environment and socio-demographics on vehicle ownership using latent class modelin," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 130-150.

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    More about this item

    Keywords

    VMT; Residential self-selection; Land use; Cluster analysis; Selection model; Non-work; Commute;
    All these keywords.

    JEL classification:

    • 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

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