A tour-based microsimulation approach to modeling destination choice and mode choice of
San Francisco residents is presented. These models were developed as part of an overall …

We present an integrated activity based discrete choice model system of an individual's daily
activity and travel schedule, intended for use in forecasting urban passenger travel demand …

This paper presents joint models of mode and destination choices for home-based tours
within an activity-based modeling framework for Jakarta, Indonesia, one of the largest …

Intercity travel is rising in importance in the US with many states and the federal government
faced with improving mobility and reducing impacts for these travelers. The Federal Highway …

The goal of the study reported in this paper was to develop a comprehensive activity-based
modeling system in the context of developing countries, providing accurate estimates which …

We present an integrated activity-based discrete choice model system of an individual's
activity and travel schedule, for forecasting urban passenger travel demand. A prototype …

A key difference between stochastic microsimulation models and more traditional forms of
travel demand forecasting models is that micro-simulation-based forecasts change each …

Microsimulation approaches to travel demand forecasting are gaining increased attention
because of their ability to replicate the multitude of factors underlying individual travel …

This paper presents a dynamic discrete choice model (DDCM) for daily activity–travel
planning. A daily activity–travel pattern is constructed from a sequence of decisions of when …

This paper summarizes the initial formulation of a micro-simulation model for activity-based
travel demand forecasting that integrates household activities, land use distributions …