Environmental design by behavior modeling and simulation for effective guidance

Abstract

In large-scale events, guidance is performed for easing congestion. Moreover, several studies on optimization ofguidance has been reported. Many existing studies assume that people follow guidance, but in fact some peopledo not follow guidance. It is presumed that factors other than guidance are involved as reasons for not followingthe guidance. In this study, we estimate the factors that induce non-following of guidance by behavioral modeling.Then we verify that the guidance following rate can be improved by manipulating the factors by changing theenvironment using a pedestrian flow simulation.