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Attitudes toward travel and land use and choice of residential neighborhood type: Evidence from the San Francisco bay area

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  • Tim Schwanen
  • Patricia L. Mokhtarian

Abstract

Two issues have recently attracted increasing attention in the literature on New Urbanist‐type, higher‐density, mixed‐use neighborhoods: whether there is a direct causal link between the characteristics of the built environment and personal travel behavior and what kind of people want to live in New Urbanist developments. We apply logit modeling to data from the San Francisco Bay Area to analyze how predispositions toward travel and land use affect the choice of residential neighborhood type. We control for sociodemographics, personality/lifestyle, and auto availability. The findings suggest that people opt for higher‐density living in part because they are concerned about the environment and want to reduce their auto travel and because higher‐density living makes it easier to benefit from commuting to work. Lower‐density living is chosen in part because it is better geared to fast, flexible, and comfortable auto travel and makes it easier to display cars as status symbols.

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  • Tim Schwanen & Patricia L. Mokhtarian, 2007. "Attitudes toward travel and land use and choice of residential neighborhood type: Evidence from the San Francisco bay area," Housing Policy Debate, Taylor & Francis Journals, vol. 18(1), pages 171-207, January.
    • Handle: RePEc:taf:houspd:v:18:y:2007:i:1:p:171-207
    DOI: 10.1080/10511482.2007.9521598
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    1. Redmond, Lothlorien, 2000. "Identifying and Analyzing Travel-Related Attitudinal, Personality, and Lifestyle Clusters in the San Francisco Bay Area," Institute of Transportation Studies, Working Paper Series qt0317h7v4, Institute of Transportation Studies, UC Davis.
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    Cited by:

    1. Jariyasunant, Jerald & Carrel, Andre & Ekambaram, Venkatesan & Gaker, David & Sengupta, Raja & Walker, Joan L., 2012. "The Quantified Traveler: Changing transport behavior with personalized travel data feedback," University of California Transportation Center, Working Papers qt3047k0dw, University of California Transportation Center.
    2. Wei Wu & Binxia Xue & Yan Song & Xujie Gong & Tao Ma, 2023. "Investigating the Impacts of Urban Built Environment on Travel Energy Consumption: A Case Study of Ningbo, China," Land, MDPI, vol. 12(1), pages 1-19, January.
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    4. De Vos, Jonas & Witlox, Frank, 2013. "Transportation policy as spatial planning tool; reducing urban sprawl by increasing travel costs and clustering infrastructure and public transportation," Journal of Transport Geography, Elsevier, vol. 33(C), pages 117-125.
    5. Guthrie, Andrew & Fan, Yingling, 2016. "Developers' perspectives on transit-oriented development," Transport Policy, Elsevier, vol. 51(C), pages 103-114.
    6. Bhat, Chandra R., 2015. "A new generalized heterogeneous data model (GHDM) to jointly model mixed types of dependent variables," Transportation Research Part B: Methodological, Elsevier, vol. 79(C), pages 50-77.
    7. Bhat, Chandra R. & Astroza, Sebastian & Bhat, Aarti C. & Nagel, Kai, 2016. "Incorporating a multiple discrete-continuous outcome in the generalized heterogeneous data model: Application to residential self-selection effects analysis in an activity time-use behavior model," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 52-76.
    8. Paul G. Lewis & Mark Baldassare, 2010. "The Complexity of Public Attitudes Toward Compact Development," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(2), pages 219-237, April.
    9. Jariyasunant, Jerald & Abou-Zeid, Maya & Carrel, Andre & Ekambaram, Venkatesan & Gaker, David & Sengupta, Raja & Walker, Joan L., 2013. "Quantified Traveler: Travel Feedback Meets the Cloud to Change Behavior," University of California Transportation Center, Working Papers qt2dh952gj, University of California Transportation Center.
    10. 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.
    11. Jingfei Zhang & Lijun Zhang & Yaochen Qin & Xia Wang & Zhicheng Zheng, 2019. "Impact of Residential Self-Selection on Low-Carbon Behavior: Evidence from Zhengzhou, China," Sustainability, MDPI, vol. 11(23), pages 1-17, December.
    12. Li, Yongling & Geertman, Stan & Hooimeijer, Pieter & Lin, Yanliu & Yang, Haoran & Yang, Linchuan, 2022. "Interaction effects of socioeconomic factors on long-distance commuting after disentangling residential self-selection: An empirical study in Xiamen, China," Journal of Transport Geography, Elsevier, vol. 105(C).
    13. Matthew Wigginton Bhagat-Conway & Laura Mirtich & Deborah Salon & Nathan Harness & Alexis Consalvo & Shuyao Hong, 2024. "Subjective variables in travel behavior models: a critical review and Standardized Transport Attitude Measurement Protocol (STAMP)," Transportation, Springer, vol. 51(1), pages 155-191, February.
    14. Bhat, Chandra R., 2015. "A comprehensive dwelling unit choice model accommodating psychological constructs within a search strategy for consideration set formation," Transportation Research Part B: Methodological, Elsevier, vol. 79(C), pages 161-188.
    15. Felix Haifeng Liao & Steven Farber & Reid Ewing, 2015. "Compact development and preference heterogeneity in residential location choice behaviour: A latent class analysis," Urban Studies, Urban Studies Journal Limited, vol. 52(2), pages 314-337, February.
    16. Ory, David T, 2007. "Structural Equation Modeling of Relative Desired Travel Amounts," Institute of Transportation Studies, Working Paper Series qt8mj659fp, Institute of Transportation Studies, UC Davis.
    17. Chen, Xiaohong & Guo, Yingjie & Yang, Chao & Ding, Fangyi & Yuan, Quan, 2021. "Exploring essential travel during COVID-19 quarantine: Evidence from China," Transport Policy, Elsevier, vol. 111(C), pages 90-97.
    18. 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.
    19. van Wee, Bert & De Vos, Jonas & Maat, Kees, 2019. "Impacts of the built environment and travel behaviour on attitudes: Theories underpinning the reverse causality hypothesis," Journal of Transport Geography, Elsevier, vol. 80(C).
    20. Ory, David Terrance, 2007. "Structural Equation Modeling of Relative Desired Travel Amounts," University of California Transportation Center, Working Papers qt7rb3x52m, University of California Transportation Center.

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