NESTED LOGIT MODE CHOICE MODELS USING FULL INFORMATION WEIGHTED EXOGENOUS MAXIMUM LIKELIHOOD

للكاتبين

*Hassan T. Abdelwahab,.,** Mohamed A. Abdel-Aty,

*Public Works Department, Faculty of Engineering, Cairo University, Giza, Egypt

  **University of Central Florida., Department of Civil & Environmental Engineering

ABSTRACT

This research presents the development of mode choice models for Florida, USA. The mode choice

model was estimated as a three-level nested logit structure. Two separate surveys were used in the

estimation process. The first is the on-board transit survey, and the second is the household survey. The

portion of the nesting structure that includes the different transit alternatives (the transit branch) was

estimated using the on-board transit data, while the upper nest that includes the choice of transit versus

highway used the household travel data. The two parts were linked through the use of the inclusive value

of transit. The overall model utilized full information maximum likelihood estimation. Among the

significant variables that entered into the model are; transit access time, transit wait time, number of

transfers, in-vehicle travel time, fare, and household car ownership.

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