In this paper, a hierarchical random-coefficient mixed logit model is applied to quantify variability in commuters' mode choice in the Chicago metropolitan area, especially concerning the contextual variability by the traits of census tract of residence. It is found that individual mode choice...

This paper reports the development and interpretation of air traveler choice models to gain insights into the tradeoffs air travelers make when they choose among different carriers, flights, and fare classes. Such insights can be used to support carrier decisions on flight scheduling, pricing,...

This paper develops a conceptual framework for the generation of activity and travel patterns in the context of more general structures and presents an integrated model system as a step toward development of an improved travel demand forecasting model system. We propose a two-stage structure to...