Random Utility Models of Pedestrian Crowd Exit Selection based on SP-off-RP Experiments

Abstract

Detailed understanding of the factors based on which individual pedestrians select an exit in a confined area, is of crucial importance in modelling crowd movement. Lack of explanatory disaggregate data representing the relative importance of the latent factors contributing to exit decision, continues to be obstacle to tackle the problem. The full benefit of the state-of-the-practice class of choice data collection methods has not been derived in crowd modelling yet. This work discusses results of experiments recently conducted utilising SP-off-RP method of choice data collection. Standard and random-coefficient logit models were estimated to obtain an understanding of individual pedestrians’ preference.