This paper uses an endogenous segmentation approach to model mode choice. This approach jointly determines the number of market segments in the travel population, assigns individuals probabilistically to each segment, and develops a distinct mode choice model for each segment group. The author proposes a stable and effective hybrid estimation approach for the endogenous segmentation model that ...

SUMMARY. A rich class of parametric models is proposed for discrete choice data based on the scale mixtures of multivariate normal distributions. With special connections to multinomial probit, the new models can be implemented in a Bayesian framework without much diiculty. The proposed class of models can be extended to panel data where accounting for heterogeneities is needed. This is done by...

Most DTA models take time-dependent origin/destination (OD) matrices as inputs and equilibrate time-dependent route flows [Peeta and Ziliaskopoulos, 2001]. Yet, they ignore the feedback of changing network conditions on higher–level choice dimensions such as departure time choice, mode choice, activity schedule choice, and such. It appears natural to extend the feedback to all choice dimensions...

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