Modeling Pedestrian Choice Behavior of Vertical Walking Facilities in Rail Transit Station Considering Reminder Sign

Abstract

A pedestrian choice model of vertical walking facilities based on random forest is established in rail transit station considering four key influence factors: interlayer height, luggage, the difference in the number of pedestrians in front of elevator and stairway, and walking speed. This model is verified with the collected data of Changchun light-rail transfer station and Beijing Xi-zhi-men railway transfer station, China, and compared with the choice model based on support vector machine. Prediction results of these two choice models are all good and acceptable. The difference between the mean prediction accuracies of these two pedestrian choice models is small (0.62%). Incorporating the choice model of vertical walking facilities into a cellular automata (CA)-based pedestrian simulation model, and setting reminder sign in front of pedestrian choice zone to reduce conflicts, pedestrian choice behavior of vertical walking facilities in rail transit station is simulated. The simulation results indicate that efficiency of pedestrians passing is improved with the effect of reminder sign, and the distance between reminder sign and vertical walking facilities should be set to be larger than 4 m.INDEX TERMS Vertical walking facilities, choice behavior, random forest, reminder sign, pedestrian simulation, cellular automata.

Human Behavior During Emergency Evacuation: Cell Transmission Model

“…In particular, the research on the pedestrian exit choice has become a very important topic in this field. Li et al [38] established a pedestrian choice model of vertical walking facilities based on random forest and indicated that the effect of reminder sign can improved the efficiency of pedestrians passing. Cao et al [39] proposed an extended multi-grid model to study fire evacuation in a two-exit room and investigated the exit selection based on random utility theory.…”