Mode choice models are used to analyze and predict the choices that individuals or groups of individuals make in selecting the transportation modes that are used for particular types of trips. Typically, the goal is to predict the share or absolute number of trips made by mode. An important objective in mode choice modeling is to predict the share of trips attracted to public transportation.
TransCAD Transportation Planning Software provides procedures for calibrating and applying mode choice models based on multinomial and nested logit models, as well as legacy methods, and may be pursued at either a disaggregate or aggregate zonal level.
Estimation of the parameters in the nested logit and multinomial logit model is performed in TransCAD by the method of maximum likelihood, which calculates the set of parameters that are "most likely" to have resulted in the choices observed in the data. There is enormous convenience in estimating and applying nested logit models in the same software environment.
A special interface lets you draw the structure of your nested logit model graphically. A companion model management window helps setup the utility functions and data sources. With this interface, estimating nested logit models has never been easier.