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Analysis of light rail rider travel behavior: Impacts of individual, built environment, and crime characteristics on transit access

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  • Kim, Sungyop
  • Ulfarsson, Gudmundur F.
  • Todd Hennessy, J.

Abstract

This paper analyzes factors that influence the mode choice for trips between home and light rail stations, an often neglected part of a person's trip making behavior. This is important for transit planning, demand modeling, and transit oriented development. Using transit survey data describing St. Louis MetroLink riders in the United States, this study found that some of the factors associated with increased shares of walking relative to other modes were full-time student status, higher income transit riders, and trips made during the evening. It was also found that crime at stations had an impact. In particular, crime made female transit riders more likely to be picked-up/dropped-off at the station. Females are more likely to be picked-up or dropped-off at night. Bus availability and convenience showed that transit riders that have a direct bus connection to a light rail station were more likely to use the bus. Private vehicle availability was strongly associated with increased probability of drive and park, when connecting to light rail.

Suggested Citation

  • Kim, Sungyop & Ulfarsson, Gudmundur F. & Todd Hennessy, J., 2007. "Analysis of light rail rider travel behavior: Impacts of individual, built environment, and crime characteristics on transit access," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(6), pages 511-522, July.
  • Handle: RePEc:eee:transa:v:41:y:2007:i:6:p:511-522
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    References listed on IDEAS

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    Cited by:

    1. Mondschein, Andrew Samuel, 2012. "The Personal City: The Experimental, Cognitive Nature of Travel and Activity and Implications for Accessibility," University of California Transportation Center, Working Papers qt67d5w48s, University of California Transportation Center.
    2. Kwoka, Gregory J. & Boschmann, E. Eric & Goetz, Andrew R., 2015. "The impact of transit station areas on the travel behaviors of workers in Denver, Colorado," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 277-287.
    3. Olaru, Doina & Smith, Brett & Taplin, John H.E., 2011. "Residential location and transit-oriented development in a new rail corridor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(3), pages 219-237, March.
    4. Miaoyi Li & Lei Dong & Zhenjiang Shen & Wei Lang & Xinyue Ye, 2017. "Examining the Interaction of Taxi and Subway Ridership for Sustainable Urbanization," Sustainability, MDPI, Open Access Journal, vol. 9(2), pages 1-12, February.
    5. Urciuoli, Luca, 2016. "What are the causes of transport insecurity? Results from a survey with transport operators," Transport Policy, Elsevier, vol. 47(C), pages 189-202.
    6. Bodea, Tudor D. & Garrow, Laurie A. & Meyer, Michael D. & Ross, Catherine L., 2009. "Socio-demographic and built environment influences on the odds of being overweight or obese: The Atlanta experience," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 430-444, May.
    7. Lachapelle, Ugo & Noland, Robert B., 2012. "Does the commute mode affect the frequency of walking behavior? The public transit link," Transport Policy, Elsevier, vol. 21(C), pages 26-36.
    8. Mondschein, Andrew Samuel, 2013. "The Personal City: The Experiential, Cognitive Nature of Travel and Activity and Implications for Accessibility," University of California Transportation Center, Working Papers qt7014d9cg, University of California Transportation Center.
    9. Duncan, Michael & Christensen, Robert K., 2013. "An analysis of park-and-ride provision at light rail stations across the US," Transport Policy, Elsevier, vol. 25(C), pages 148-157.
    10. repec:eee:transa:v:99:y:2017:i:c:p:46-60 is not listed on IDEAS

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