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Sustainable commute in a car-dominant city: Factors affecting alternative mode choices among university students

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  • Zhou, Jiangping
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    Abstract

    This paper studies university students’ commute and housing behaviors using samples from Los Angeles, a place notorious for car dependence and dominance. It finds that being embedded in this place does not make university students drive alone more than their peers in other places. Being multimodal and having a discounted transit pass increase the odds of alternative modes while holding a parking permit reduces the odds of these modes. Commute distance is positively related to carpool and telecommuting. Gender, status (undergraduate vs. gradate) and age are significantly correlated to biking, walking or public transit. Students living alone are more likely to commute by driving alone than other students. Having friends and classmates living nearby increases the odds of taking public transit. Due to data constraints, this study cannot prove whether there is any correlation between information contagion and the effects of living alone and having friends and classmates living nearby on alternative mode choice. But it proposes that the issue be worthwhile of further investigations. Base on the above, the paper recommends a comprehensive travel demand management program, utilization of information contagion effects of students and promotion of multimodal commute to better promote alternative mode of commute among university students.

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    Bibliographic Info

    Article provided by Elsevier in its journal Transportation Research Part A: Policy and Practice.

    Volume (Year): 46 (2012)
    Issue (Month): 7 ()
    Pages: 1013-1029

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    Handle: RePEc:eee:transa:v:46:y:2012:i:7:p:1013-1029

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    Related research

    Keywords: University students; Commute; Mode choice; Sustainability;

    References

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    1. Shannon, Tya & Giles-Corti, Billie & Pikora, Terri & Bulsara, Max & Shilton, Trevor & Bull, Fiona, 2006. "Active commuting in a university setting: Assessing commuting habits and potential for modal change," Transport Policy, Elsevier, vol. 13(3), pages 240-253, May.
    2. Alistair Kerr & Alexia Lennon & Barry Watson, 2010. "The call of the road: factors predicting students’ car travelling intentions and behaviour," Transportation, Springer, vol. 37(1), pages 1-13, January.
    3. Zhou, Jiangping & Wang, Yin & Schweitzer, Lisa, 2012. "Jobs/housing balance and employer-based travel demand management program returns to scale: Evidence from Los Angeles," Transport Policy, Elsevier, vol. 20(C), pages 22-35.
    4. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    5. Balsas, Carlos J. L., 2003. "Sustainable transportation planning on college campuses," Transport Policy, Elsevier, vol. 10(1), pages 35-49, January.
    6. McFadden, Daniel, 1980. "Econometric Models for Probabilistic Choice among Products," The Journal of Business, University of Chicago Press, vol. 53(3), pages S13-29, July.
    7. Arthur, W. Brian & Lane, David A., 1993. "Information contagion," Structural Change and Economic Dynamics, Elsevier, vol. 4(1), pages 81-104, June.
    8. Jen-Jia Lin & Hsiao-Te Chang, 2010. "Built Environment Effects on Children’s School Travel in Taipai: Independence and Travel Mode," Urban Studies, Urban Studies Journal Limited, vol. 47(4), pages 867-889, April.
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    Cited by:
    1. Zhou, Jiangping, 2014. "From better understandings to proactive actions: Housing location and commuting mode choices among university students," Transport Policy, Elsevier, vol. 33(C), pages 166-175.

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