Empirical estimation of agent shopping patterns for simulating pedestrian movement

publication year:2007
full reference:Dijkstra, J., Timmermans, H.J.P. and de Vries, B. 2007. "Empirical estimation of agent shopping patterns for simulating pedestrian movement." In A.N.R. Silva, da and L.C.L. Souza, de(eds.): Proceedings of the 10th International Conference on Computers in Urban Planning and Urban Management (CUPUM 2007) 11-13 July 2007, Iguassu Falls, Brasil. São Carlos: EESC/USP.
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.
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