ABSTRACT
Each individual is part of social networks and individual behavior will be influenced by peer groups. The relationship between social networks and travel has been the subject of an increasing number of studies in recent years. However, the contemporary challenge in activity-travel behavior analysis is to move beyond single-day approaches to dynamic activity-based models, focusing on adaptation to demographic, social and policy changes. Sharmeen et al focused on long term dynamics of social networks in the transportation literature. A central concept of the research is that dynamics of social networks are related to life cycle events, and have an effect on the activity and travel behavior dynamics. In terms of the long-term dynamics in face-to-face social interactions, one of the major findings of the aforementioned study is that social interaction/activity frequency is path dependent. The empirical analyses provided evidence that these domains are interconnected.
