A Research on Pedestrian Wayfinding Behavior in Large Public Space Utilizing Non-immersive VR Platform


  • Zhicheng Dai Beijing Jiaotong University, Department of Traffic and Transportation, Beijing, China
  • Dewei Li Beijing Jiaotong University, Frontiers Science Center for Smart High-speed Railway System, Beijing, China




Virtual Reality, Wayfinding Behavior, Utility Model


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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How to Cite

Dai, Z., & Li, D. (2024). A Research on Pedestrian Wayfinding Behavior in Large Public Space Utilizing Non-immersive VR Platform. Collective Dynamics, 9, 1–10. https://doi.org/10.17815/CD.2024.167



Special Issue of Pedestrian and Evacuation Dynamics 2023