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Heterogeneous effects of neighborhood type on commute mode choice: An exploration of residential dissonance in the Twin Cities

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  • Cao, Xinyu (Jason)

Abstract

Many studies have measured residential and travel preferences to address residential self-selection and they often focused on the average or independent effect of the built environment on travel behavior. However, individuals' behavioral responses to built environment interventions may vary by their different tastes. Using the 2011 data from the Minneapolis–St. Paul metropolitan area, this study examines the influences of neighborhood type, travel attitudes, and their interaction terms on commute mode choice. The interactions between neighborhood type and travel attitudes have no significant impact on driving commute frequency whereas the effects of neighborhood type on the propensity for transit commute differ by transit preference. Specifically, urban consonants (including those in LRT neighborhoods) have the highest propensity for transit commute, followed by suburban dissonants, urban dissonants, and then suburban consonants. Therefore, individuals' heterogeneous responses to built environment elements should be taken into account in future research and in the design of land use and transportation policies aiming to shape urban travel.

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  • 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.
    • Handle: RePEc:eee:jotrge:v:48:y:2015:i:c:p:188-196
    DOI: 10.1016/j.jtrangeo.2015.09.010
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    Cited by:

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    2. Huang, Xiaoyan & Cao, Xinyu (Jason) & Cao, Xiaoshu & Yin, Jiangbin, 2016. "How does the propensity of living near rail transit moderate the influence of rail transit on transit trip frequency in Xi'an?," Journal of Transport Geography, Elsevier, vol. 54(C), pages 194-204.
    3. Ettema, Dick & Nieuwenhuis, Roy, 2017. "Residential self-selection and travel behaviour: What are the effects of attitudes, reasons for location choice and the built environment?," Journal of Transport Geography, Elsevier, vol. 59(C), pages 146-155.
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    5. 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.
    6. Kajosaari, Anna & Hasanzadeh, Kamyar & Kyttä, Marketta, 2019. "Residential dissonance and walking for transport," Journal of Transport Geography, Elsevier, vol. 74(C), pages 134-144.
    7. Long, Fenjie & Zheng, Longfei & Song, Zhida, 2018. "High-speed rail and urban expansion: An empirical study using a time series of nighttime light satellite data in China," Journal of Transport Geography, Elsevier, vol. 72(C), pages 106-118.
    8. 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.
    9. Zuopeng Xiao & James H. Lenzer & Yanwei Chai, 2017. "Examining The Uneven Distribution Of Household Travel Carbon Emissions Within And Across Neighborhoods: The Case Of Beijing," Journal of Regional Science, Wiley Blackwell, vol. 57(3), pages 487-506, June.
    10. Yu, Le & Xie, Binglei & Chan, Edwin H.W., 2019. "Exploring impacts of the built environment on transit travel: Distance, time and mode choice, for urban villages in Shenzhen, China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 132(C), pages 57-71.
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    12. Hu, Yang & Ettema, Dick, 2023. "Exploring residential dissonance from a household perspective: A gendered examination of resident characteristics in a small Chinese city," Journal of Transport Geography, Elsevier, vol. 112(C).
    13. Bereitschaft, Bradley, 2020. "Gentrification and the evolution of commuting behavior within America's urban cores, 2000–2015," Journal of Transport Geography, Elsevier, vol. 82(C).
    14. Yuan, Dandan & Zhao, Pengjun & Yu, Zhao & Liu, Qiyang, 2023. "Villagers' travel burden and the built environment in rural China: Evidence from a national level survey," Journal of Transport Geography, Elsevier, vol. 113(C).
    15. Jing Li & Kevin Lo & Meng Guo, 2018. "Do Socio-Economic Characteristics Affect Travel Behavior? A Comparative Study of Low-Carbon and Non-Low-Carbon Shopping Travel in Shenyang City, China," IJERPH, MDPI, vol. 15(7), pages 1-11, June.
    16. Le Yu & Binglei Xie & Edwin H. W. Chan, 2018. "How does the Built Environment Influence Public Transit Choice in Urban Villages in China?," Sustainability, MDPI, vol. 11(1), pages 1-15, December.
    17. Kamruzzaman, Md. & Giles-Corti, Billie & De Vos, Jonas & Witlox, Frank & Shatu, Farjana & Turrell, Gavin, 2021. "The life and death of residential dissonants in transit-oriented development: A discrete time survival analysis," Journal of Transport Geography, Elsevier, vol. 90(C).
    18. 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.
    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. De Vos, Jonas & Singleton, Patrick A., 2020. "Travel and cognitive dissonance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 525-536.
    21. Wang, Donggen & Cao, Xinyu, 2017. "Impacts of the built environment on activity-travel behavior: Are there differences between public and private housing residents in Hong Kong?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 25-35.
    22. Janke, Julia, 2021. "Re-visiting residential self-selection and dissonance: Does intra-household decision-making change the results?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 379-401.
    23. Ding, Chuan & Cao, Xinyu & Yu, Bin & Ju, Yang, 2021. "Non-linear associations between zonal built environment attributes and transit commuting mode choice accounting for spatial heterogeneity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 22-35.
    24. 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).
    25. Zang, Peng & Lu, Yi & Ma, Jing & Xie, Bo & Wang, Ruoyu & Liu, Ye, 2019. "Disentangling residential self-selection from impacts of built environment characteristics on travel behaviors for older adults," Social Science & Medicine, Elsevier, vol. 238(C), pages 1-1.

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