Abstract
In this study, we conducted experiments to investigate pedestrian wayfinding behavior using a non-immersive virtual reality platform. We developed a route choice model that combines environmental factors and individual pedestrian attributes, employ-ing a hybrid Logit model. The dataset for pedestrian route choices is collected from partic-ipants’ walking trajectories within the Tianjin West Railway Station scenario. The results of our experiments demonstrate that the model effectively represents pedestrians’ route choices within the environment and exhibits strong predictive capabilities for wayfinding.
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