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Use characteristics and demographics of rural transit riders: a case study in Tennessee

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  • Hongtai Yang
  • Christopher R. Cherry

Abstract

Intercity bus (ICB), deviated fixed route transit (DFRT) and demand responsive transit (DRT) are three major modes of rural public transportation. This paper focuses on the characteristics and motivations of DFRT and DRT riders, compared to non-riders, in Tennessee. A rural DFRT rider survey, a rural DRT rider survey and a rural (non-rider) resident survey were performed. It is found that DFRT and DRT riders have similar demographics to ICB riders. The most common trip purpose for DFRT and DRT passengers is medical care, which is different from ICB trips. Ninety percent of the riders have difficulty finding alternative transportation modes, suggesting they are captive riders, not choice riders. Regression results indicate that people choosing transit modes tend to have lower personal and household income, own fewer cars, to not be homeowners, and be of non-white race. Rural residents who receive more education are more likely to be open-minded to use rural transit.

Suggested Citation

  • Hongtai Yang & Christopher R. Cherry, 2017. "Use characteristics and demographics of rural transit riders: a case study in Tennessee," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(2), pages 213-227, February.
    • Handle: RePEc:taf:transp:v:40:y:2017:i:2:p:213-227
    DOI: 10.1080/03081060.2016.1266168
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    Citations

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    Cited by:

    1. Sultana, Zohora & Mishra, Sabyasachee & Cherry, Christopher R. & Golias, Mihalis M. & Tabrizizadeh Jeffers, Saman, 2018. "Modeling frequency of rural demand response transit trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 494-505.
    2. Guo, Jing & Brakewood, Candace, 2024. "Analysis of spatiotemporal transit accessibility and transit inequity of essential services in low-density cities, a case study of Nashville, TN," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    3. Zhang, Zhaolin & Zhai, Guocong & Xie, Kun & Xiao, Feng, 2022. "Exploring the nonlinear effects of ridesharing on public transit usage: A case study of San Diego," Journal of Transport Geography, Elsevier, vol. 104(C).
    4. Istiak Ahmad & Fahad Alqurashi & Ehab Abozinadah & Rashid Mehmood, 2022. "Deep Journalism and DeepJournal V1.0: A Data-Driven Deep Learning Approach to Discover Parameters for Transportation," Sustainability, MDPI, vol. 14(9), pages 1-72, May.

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