IDEAS home Printed from https://ideas.repec.org/a/eee/retrec/v71y2018icp68-75.html
   My bibliography  Save this article

Estimating demand for rural intercity bus services

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0739885918301173
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.retrec.2018.11.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lei Zhang & Frank Southworth & Chenfeng Xiong & Anthon Sonnenberg, 2012. "Methodological Options and Data Sources for the Development of Long-Distance Passenger Travel Demand Models: A Comprehensive Review," Transport Reviews, Taylor & Francis Journals, vol. 32(4), pages 399-433, April.
    2. David A. Hensher, 2006. "How do respondents process stated choice experiments? Attribute consideration under varying information load," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 861-878.
    3. DeShazo, J. R. & Fermo, German, 2002. "Designing Choice Sets for Stated Preference Methods: The Effects of Complexity on Choice Consistency," Journal of Environmental Economics and Management, Elsevier, vol. 44(1), pages 123-143, July.
    4. Storchmann, K. -H., 2001. "The impact of fuel taxes on public transport -- an empirical assessment for Germany," Transport Policy, Elsevier, vol. 8(1), pages 19-28, January.
    5. Caussade, Sebastián & Ortúzar, Juan de Dios & Rizzi, Luis I. & Hensher, David A., 2005. "Assessing the influence of design dimensions on stated choice experiment estimates," Transportation Research Part B: Methodological, Elsevier, vol. 39(7), pages 621-640, August.
    6. Mariel, Petr & Ayala, Amaya de & Hoyos, David & Abdullah, Sabah, 2013. "Selecting random parameters in discrete choice experiment for environmental valuation: A simulation experiment," Journal of choice modelling, Elsevier, vol. 7(C), pages 44-57.
    7. Arentze, Theo & Borgers, Aloys & Timmermans, Harry & DelMistro, Romano, 2003. "Transport stated choice responses: effects of task complexity, presentation format and literacy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 39(3), pages 229-244, May.
    8. Koppelman, Frank S. & Sethi, Vaneet, 2005. "Incorporating variance and covariance heterogeneity in the Generalized Nested Logit model: an application to modeling long distance travel choice behavior," Transportation Research Part B: Methodological, Elsevier, vol. 39(9), pages 825-853, November.
    9. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ladenburg, Jacob & Olsen, Søren Bøye, 2014. "Augmenting short Cheap Talk scripts with a repeated Opt-Out Reminder in Choice Experiment surveys," Resource and Energy Economics, Elsevier, vol. 37(C), pages 39-63.
    2. David A. Hensher, 2006. "How do respondents process stated choice experiments? Attribute consideration under varying information load," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 861-878, September.
    3. Moser, Riccarda & Raffaelli, Roberta, 2014. "Does attribute cut-off elicitation affect choice consistency? Contrasting hypothetical and real-money choice experiments," Journal of choice modelling, Elsevier, vol. 11(C), pages 16-29.
    4. Andrew Collins & John Rose & Stephane Hess, 2012. "Interactive stated choice surveys: a study of air travel behaviour," Transportation, Springer, vol. 39(1), pages 55-79, January.
    5. Rose, John M. & Hensher, David A. & Caussade, Sebastian & Ortúzar, Juan de Dios & Jou, Rong-Chang, 2009. "Identifying differences in willingness to pay due to dimensionality in stated choice experiments: a cross country analysis," Journal of Transport Geography, Elsevier, vol. 17(1), pages 21-29.
    6. Yang, Jui-Chen & Johnson, F. Reed & Kilambi, Vikram & Mohamed, Ateesha F., 2015. "Sample size and utility-difference precision in discrete-choice experiments: A meta-simulation approach," Journal of choice modelling, Elsevier, vol. 16(C), pages 50-57.
    7. Scarpa, Riccardo & Rose, John M., 2008. "Design efficiency for non-market valuation with choice modelling: how to measure it, what to report and why," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(3), pages 1-30.
    8. Chao Chen & Caspar Chorus & Eric Molin & Bert Wee, 2016. "Effects of task complexity and time pressure on activity-travel choices: heteroscedastic logit model and activity-travel simulator experiment," Transportation, Springer, vol. 43(3), pages 455-472, May.
    9. Marit Kragt & Jeffrey Bennett, 2012. "Attribute Framing in Choice Experiments: How Do Attribute Level Descriptions Affect Value Estimates?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 51(1), pages 43-59, January.
    10. Mohammed Alemu & Morten Mørkbak & Søren Olsen & Carsten Jensen, 2013. "Attending to the Reasons for Attribute Non-attendance in Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(3), pages 333-359, March.
    11. Boxebeld, Sander, 2024. "Ordering effects in discrete choice experiments: A systematic literature review across domains," Journal of choice modelling, Elsevier, vol. 51(C).
    12. Theo Arentze & Tao Feng & Harry Timmermans & Jops Robroeks, 2012. "Context-dependent influence of road attributes and pricing policies on route choice behavior of truck drivers: results of a conjoint choice experiment," Transportation, Springer, vol. 39(6), pages 1173-1188, November.
    13. Mamine, Fateh & Fares, M'hand & Minviel, Jean Joseph, 2020. "Contract Design for Adoption of Agrienvironmental Practices: A Meta-analysis of Discrete Choice Experiments," Ecological Economics, Elsevier, vol. 176(C).
    14. Fraser, Iain & Balcombe, Kelvin & Williams, Louis & McSorley, Eugene, 2021. "Preference stability in discrete choice experiments. Some evidence using eye-tracking," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 94(C).
    15. Jang, Sunghoon & Rasouli, Soora & Timmermans, Harry, 2022. "The effect of task complexity on stated choice processes: The moderating role of cognitive ability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    16. Hess, Stephane & Stathopoulos, Amanda, 2013. "Linking response quality to survey engagement: A combined random scale and latent variable approach," Journal of choice modelling, Elsevier, vol. 7(C), pages 1-12.
    17. Nakayama, Shoichiro & Chikaraishi, Makoto, 2015. "Unified closed-form expression of logit and weibit and its extension to a transportation network equilibrium assignment," Transportation Research Part B: Methodological, Elsevier, vol. 81(P3), pages 672-685.
    18. Mikołaj Czajkowski & Nick Hanley & Jacob LaRiviere, 2016. "Controlling for the Effects of Information in a Public Goods Discrete Choice Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(3), pages 523-544, March.
    19. Elizabeth Kinter & Thomas Prior & Christopher Carswell & John Bridges, 2012. "A Comparison of Two Experimental Design Approaches in Applying Conjoint Analysis in Patient-Centered Outcomes Research," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 5(4), pages 279-294, December.
    20. Campbell, Danny & Hutchinson, W. George & Scarpa, Riccardo, 2006. "Lexicographic Preferences in Discrete Choice Experiments: Consequences on Individual-Specific Willingness to Pay Estimates," Sustainability Indicators and Environmental Valuation Working Papers 12224, Fondazione Eni Enrico Mattei (FEEM).

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:retrec:v:71:y:2018:i:c:p:68-75. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/620614/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.