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On the development of a semi-nonparametric generalized multinomial logit model for travel-related choices


Abstract 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. Comparisons between the multinomial logit model and the proposed semi-nonparametric model show that violations of the standard Gumbel distribution assumption lead to considerable... (more)
Created Date 2017-10-26
Contributor Wang, Ke (Author) / Ye, Xin (Author) / Pendyala, Ram (ASU author) / Zou, Yajie (Author) / Ira A. Fulton School of Engineering / School of Sustainable Engineering and the Built Environment
Series PLOS ONE
Type Text
Extent 19 pages
Language English
Identifier DOI: 10.1371/journal.pone.0186689 / ISSN: 1045-3830 / ISSN: 1939-1560
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Citation 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
Note The article is published at http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0186689
Collaborating Institutions ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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