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A semi-nonparametric generalized multinomial logit model, formulated using orthonormal Legendre polynomials to extend the standard Gumbel distribution, is presented in this paper. The resulting semi-nonparametric function can represent a probability

A semi-nonparametric generalized multinomial logit model, formulated using orthonormal Legendre polynomials to extend the standard Gumbel distribution, is presented in this paper. The resulting semi-nonparametric function can represent a probability density function for a large family of multimodal distributions. The model has a closed-form log-likelihood function that facilitates model estimation. The proposed method is applied to model commute mode choice among four alternatives (auto, transit, bicycle and walk) using travel behavior data from Argau, Switzerland.

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    Date Created
    • 2017-10-26
    Resource Type
  • Text
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    Identifier
    • Digital object identifier: 10.1371/journal.pone.0186689
    • Identifier Type
      International standard serial number
      Identifier Value
      1045-3830
    • Identifier Type
      International standard serial number
      Identifier Value
      1939-1560

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    Wang, K., Ye, X., Pendyala, R. M., & Zou, Y. (2017). On the development of a semi-nonparametric generalized multinomial logit model for travel-related choices. Plos One, 12(10). doi:10.1371/journal.pone.0186689

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