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Demand-Responsive Transit Shuttles: Who Will Use Them?

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  • Anspacher, David
  • Khattak, Asad J.
  • Yim, Youngbin

Abstract

Large urban areas often have rail systems that rely on feeder buses to expand their service area. This paper explores the possibility of expanding access to existing rail transit systems through demand-responsive shuttles. The study analyzes the effect of several factors on an individual's willingness to use a door-to-station shuttle service. Using survey data collected in a case study of one urban and one suburban neighborhood (N=800) served by the San Francisco Bay Area Rapid Transit, this paper uses descriptive statistics and ordered logit regression to investigate the influence of several factors on peoples's willingness to use the shuttles. The results indicate that 21% of the respondents were strongly inclined to at least trying the service and paying for it. Residents of the urban neighborhood and those who lived more than half a mile from the nearest transit station were more willing to use the shuttle. Interestingly, 20% of single-occupant automobile users in both the urban and suburban communities were highly willing to use the shuttle, if only on a trial basis. Furthermore, those who park-and-ride in the suburban neighborhood and those who carpool or ride transit in the urban neighborhood were most likely to try the proposed shuttle service.

Suggested Citation

  • Anspacher, David & Khattak, Asad J. & Yim, Youngbin, 2004. "Demand-Responsive Transit Shuttles: Who Will Use Them?," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2th2n99r, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt2th2n99r
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    References listed on IDEAS

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    1. Yim, Y. B. & Khattak, Asad J., 2000. "Personalized Demand Responsive Transit Systems," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt47w589jx, Institute of Transportation Studies, UC Berkeley.
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    Cited by:

    1. Nael Alsaleh & Bilal Farooq & Yixue Zhang & Steven Farber, 2021. "On-Demand Transit User Preference Analysis using Hybrid Choice Models," Papers 2102.08256, arXiv.org, revised Aug 2023.
    2. Alsaleh, Nael & Farooq, Bilal & Zhang, Yixue & Farber, Steven, 2023. "On-demand transit user preference analysis using hybrid choice models," Journal of choice modelling, Elsevier, vol. 49(C).
    3. Neeraj Saxena & Taha Rashidi & David Rey, 2020. "Determining the Market Uptake of Demand Responsive Transport Enabled Public Transport Service," Sustainability, MDPI, vol. 12(12), pages 1-18, June.

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    1. Neeraj Saxena & Taha Rashidi & David Rey, 2020. "Determining the Market Uptake of Demand Responsive Transport Enabled Public Transport Service," Sustainability, MDPI, vol. 12(12), pages 1-18, June.

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