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Estimating demand for rural intercity bus services

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  • Mattson, Jeremy
  • Hough, Jill
  • Varma, Amiy

Abstract

The objective of this research is to develop an intercity mode choice model that can be incorporated into a travel demand model to estimate demand for rural intercity bus services. Four intercity transportation modes are considered in the study: automobile, bus, rail, and air. A stated preference survey was conducted of individuals across the state of North Dakota, and a mixed logit model was developed to estimate a mode choice model. Results from the mode choice model show the significant impacts of individual, trip, and mode characteristics on choice of mode. Gender, age, income, disability, trip purpose, party size, travel time, travel cost, and access distance were all found to have significant impacts on mode choice. This study was conducted in the largely rural state of North Dakota, but results could be transferable to other areas with similar geographic characteristics.

Suggested Citation

  • Mattson, Jeremy & Hough, Jill & Varma, Amiy, 2018. "Estimating demand for rural intercity bus services," Research in Transportation Economics, Elsevier, vol. 71(C), pages 68-75.
  • Handle: RePEc:eee:retrec:v:71:y:2018:i:c:p:68-75
    DOI: 10.1016/j.retrec.2018.11.001
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    References listed on IDEAS

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    Cited by:

    1. Hongjun Cui & Mingzhi Li & Minqing Zhu & Xinwei Ma, 2023. "Investigating the Impacts of Urban–Rural Bus Service Quality on Rural Residents’ Travel Choices Using an SEM–MNL Integration Model," Sustainability, MDPI, vol. 15(15), pages 1-22, August.
    2. Maria Kett & Ellie Cole & Jeff Turner, 2020. "Disability, Mobility and Transport in Low- and Middle-Income Countries: A Thematic Review," Sustainability, MDPI, vol. 12(2), pages 1-18, January.

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    More about this item

    Keywords

    Intercity bus; Mode choice model; Stated preference; Rural;
    All these keywords.

    JEL classification:

    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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