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Methodological challenges in modelling the choice of mode for a new travel alternative using binary stated choice data – The case of high speed rail in Norway

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  • Flügel, Stefan
  • Halse, Askill H.
  • Ortúzar, Juan de Dios
  • Rizzi, Luis I.

Abstract

Binary stated choices between traveller’s current travel mode and a not-yet-existing mode might be used to build a forecasting model with all (current and future) travel alternatives. One challenge with this approach is the identification of the most appropriate inter-alternative error structure of the forecasting model.

Suggested Citation

  • Flügel, Stefan & Halse, Askill H. & Ortúzar, Juan de Dios & Rizzi, Luis I., 2015. "Methodological challenges in modelling the choice of mode for a new travel alternative using binary stated choice data – The case of high speed rail in Norway," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 438-451.
    • Handle: RePEc:eee:transa:v:78:y:2015:i:c:p:438-451
    DOI: 10.1016/j.tra.2015.06.004
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    References listed on IDEAS

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    1. 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.
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    6. Abbe, E. & Bierlaire, M. & Toledo, T., 2007. "Normalization and correlation of cross-nested logit models," Transportation Research Part B: Methodological, Elsevier, vol. 41(7), pages 795-808, August.
    7. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D., 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, September.
    8. Cherchi, Elisabetta & Ortúzar, Juan de Dios, 2006. "On fitting mode specific constants in the presence of new options in RP/SP models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(1), pages 1-18, January.
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    Cited by:

    1. Rich, Jeppe & Fox, James, 2024. "Cost sharing in passenger transport models: specification, implementation, and impacts," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
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    3. Yu Jia & Yunqian Wang & Piao Li & Shuang Gao, 2024. "Economic Communication: The Influence of High-Speed Rail on Urban-Rural Income Inequality in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 174(1), pages 47-73, August.

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