Simulating the influence of life trajectory events on transport mode behavior in an agent-based system

this paper describes the results of a study on the impact of lifecycle or life trajectory events on activity-travel decisions. This lifecycle trajectory of individual agents can be easily incorporated in an agent-based simulation system. This paper focuses on two lifecycle events, change in residential location and change in number of household members. An Internet-based survey was designed to collect data concerning structural lifecycle events. Previous papers describe the conceptual framework underlying the model and the temporal effects of lifecycle events on mode choice. This paper focuses on predicting the occurrence of structural lifecycle events at a certain time. Structure and parameter learning are applied to build a Bayesian Belief Network based on the data