Representing heterogeneity in structural relationships among multiple choice variables using a latent segmentation approach-Reference-Cited by-同舟云学术

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Representing heterogeneity in structural relationships among multiple choice variables using a latent segmentation approach

Published:2018-05-19 Issue:5 Volume:46 Page:1755-1784
ISSN:0049-4488
Container-title:Transportation
language:en
Short-container-title:Transportation

Author:

Astroza Sebastian,Garikapati Venu M.,Pendyala Ram M.,Bhat Chandra R.,Mokhtarian Patricia L.

Funder

U.S. Department of Transportation

Publisher

Springer Science and Business Media LLC

Subject

Transportation,Development,Civil and Structural Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11116-018-9882-7.pdf

Reference26 articles.

1. Angueira, J., Konduri, K.C., Chakour, V., Eluru, N.: Exploring the relationship between vehicle type choice and distance traveled: a latent segmentation approach. Transp. Lett. (2017). https://doi.org/10.1080/19427867.2017.1299346

2. Allenby, G.: Hypothesis testing with scanner data: the advantage of Bayesian methods. J. Mark. Res. 27, 379–389 (1990)

3. Bagley, M.N., Mokhtarian, P.L.: The impact of residential neighborhood type on travel behavior: a structural equations modeling approach. Ann. Reg. Sci. 36(2), 279–297 (2002)

4. Bhat, C.R.: An endogenous segmentation mode choice model with an application to intercity travel. Transp. Sci. 31(1), 34–48 (1997)

5. Bhat, C.R.: The maximum approximate composite marginal likelihood (MACML) estimation of multinomial probit-based unordered response choice models. Transp. Res. B 45(7), 923–939 (2011)

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