REVIEW AND PERSPECTIVE OF TRAVEL BEHAVIOR ANALYSIS FOCUSING ON DISAGGREGATE TRAVEL DEMAND MODELS

Model for Disaggregate Travel Behavior

The research field of transportation demand forecasting has started to focus on disaggregate travel behavior and micro-simulation models. To create data infrastructure, disaggregate trip surveys are conducted and large numbers of observations are collected. To efficiently exploit these surveys, the transfer of the individual trip data to a GIS must start with the development of a solid conceptu...

Computational Process Modeling of Disaggregate Travel Behavior

In this paper we review attempts to develop CPM of individual travel behavior. CPM represent a linked set of computer programs together with appropriate databases which are designed to capture the essence of human decision making in different spatial situations. Used primarily for wayfmding and to simulate and predict travel behavior, CPMs bypass the difficult problems of IIA typically attribut...

Travel Behavior and Demand Analysis and Prediction

Towards Disaggregate Dynamic Travel Forecasting Models

The authors argue that travel forecasting models should be dynamic and disaggregate in their representation of demand, supply, and supply-demand interactions, and propose a framework for such models. The proposed framework consists of disaggregate activity-based representation of travel choices of individual motorists on the demand side integrated with disaggregate dynamic modeling of network p...

Activity-based Disaggregate Travel Demand Model System with Activity Schedules

We propose an integrated activity-based discrete choice model system of an individual’s activity and travel schedule, for forecasting urban passenger travel demand. A prototype demonstrates the system concept using a 1991 Boston travel survey and transportation system level of service data. The model system represents a person’s choice of activities and associated travel as an activity pattern ...