Empirical estimation of agent shopping patterns for simulating pedestrian movement

A multi-agent model to simulate pedestrian route choice and activity scheduling behavior is under development. In this model, the simulation of movement patterns is embedded in a more comprehensive model of activity scheduling and choice behavior. This paper reports the estimation results for one component of the model: the probability of successfully completing an activity in a store. We assume that the probability of a successful completion is a function of among others availability (assortment) and predictability of the product. To estimate this probability function, survey data were collected and the results of the estimations will be discussed