Print Email Facebook Twitter A study of pedestrian wayfinding behavior based on desktop VR considering both spatial knowledge and visual information Title A study of pedestrian wayfinding behavior based on desktop VR considering both spatial knowledge and visual information Author Dai, Zhicheng (Beijing Jiaotong University) Li, Dewei (Beijing Jiaotong University) Feng, Y. (TU Delft Transport and Planning) Yang, Yuming (Beijing Jiaotong University) Sun, Long (Beijing Jiaotong University) Date 2024 Abstract Understanding pedestrian wayfinding behavior is crucial for traffic management and building design. The use of virtual reality technology presents an efficient approach for investigating pedestrian wayfinding behavior in large public spaces, offering numerous advantages for data collection. However, the impact of different scenario dimensions on pedestrian wayfinding behavior in large public spaces remains unclear. Additionally, the selection of virtual experiment scenario dimensions currently relies primarily on researchers’ experience and practical conditions, lacking sufficient evidence to support their rational. Another challenge is the limited focus on spatial knowledge’s effect on wayfinding behavior, with insufficient analysis of the utility of pedestrian visual information and a lack of precise methods to quantify visual field information accurately. This study addresses these gaps by incorporating spatial knowledge at multiple scales and pedestrian visual field information as influencing factors in the analysis of wayfinding behavior. Furthermore, it distinguishes between three-dimensional and two-dimensional scenarios to compare the impact of dimensional differences on pedestrian wayfinding behavior. By analyzing behavior data from non-immersive wayfinding experiments, this research employs statistical analysis methods and a deep learning framework to derive results regarding the factors influencing wayfinding behavior. The findings demonstrate that considering both spatial and visual field information effectively enhances the predictive ability of the wayfinding model. Additionally, dimensional differences significantly influence the pedestrian wayfinding process. These results offer empirical evidence to guide researchers in selecting experimental scenarios of pedestrian behavior and provide insights for public space layout, signage design, and improving pedestrian efficiency. Subject Wayfinding behaviorRoute choiceVirtual realitySpatial knowledgePedestrian visual fieldSemantic segmentation To reference this document use: http://resolver.tudelft.nl/uuid:ce870159-75cc-4d46-a5fc-8f737741bd93 DOI https://doi.org/10.1016/j.trc.2024.104651 Embargo date 2024-11-10 ISSN 0968-090X Source Transportation Research. Part C: Emerging Technologies, 163 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2024 Zhicheng Dai, Dewei Li, Y. Feng, Yuming Yang, Long Sun Files file embargo until 2024-11-10