Differences in psychometric traits can be revealed in the actions of an individual's everyday life, including their transportation mode choice. There are many inexplicable behaviors in mode choice when only individual socio-economic variables and alternative attributes are included. The explanatory power of models can be enhanced if individual heterogeneity is addressed by the incorporation of psychometric traits. We used latent class choice model to this behavior in which latent classes were psychometric traits, and the choice model was mode choice across classes. We simultaneously estimated latent classes and how latent traits impacted mode choice to improve performance. Empirical results indicated that there are people who persist on their own mode and have preferences for environment and specific modes. Characteristics of latent classes were consistent with mode choice behavior.
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© 2017 The Authors. Published by Elsevier B.V.
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