Activity-based approaches to travel demand modeling are increasingly moving from theoretical to operational models. In this context, agent-based micro-simulation models are a promising approach since they explicitly conceive travel as an emergent phenomenon from peoples’ activity characteristics, and more explicitly, from their activity scheduling processes. Behaviorally, activity-scheduling processes are influenced not only by individuals’ characteristics, but also by the other people with whom they interact. Thus, the activity scheduling process has an intrinsic social context. Using social activities as a case study, the objective of this paper is to empirically investigate the relationship between the social context (measured by with wh...