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基于VR的地铁站行人路径选择行为分析研究 被引量:1

Analysis of Pedestrian Route Choice Behaviors in Subway Station Based on VR
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摘要 地铁站的结构大型化以及功能复合化导致行人寻路困难,而行人在导向标识作用下的路径选择行为规律还未被充分研究。通过VR技术,开展地铁站内行人路径选择实验,研究地铁站内关键决策点处的行人路径选择行为特征。基于VR环境获取的行人路径选择行为数据实现了对导向标识作用下行人路径选择行为规律的量化研究和更深入的探讨,并采用Kruskal-Wallis法分析行人路径选择行为与各个影响因素之间的关系。结果表明:①男女在地铁站内关键决策点处的路径选择行为特征存在较大的差异;②导向标识的设置、路径上的人流量、行人与基础设施之间的距离,以及个人属性等对地铁站内行人的路径选择行为具有显著性影响。行人倾向于选择设有导向标识、人流量较低、直行及较宽的路径。 As the size of subway stations becomes larger and the functionality becomes more complex,it has become more and more difficulty for pedestrians to find their way.However,pedestrian route choice behaviors considering guide signs have not been fully explored in the relevant research areas.An experiment using VR technology was conducted to examine pedestrian route choice behavior at key decision points in subway stations.Based on the pedestrian route choice behavioral data obtained in VR environment,pedestrian route choice behaviors considering the effects of guide signs were studied and discussed in details.The relationship between pedestrian route choice behaviors and its influencing factors using Kruskal-Wallis method were analyzed.The results show that:①at key decision points in subway stations,males and females show significantly different route choice behavioral characteristics;②the setup of guide signs,the flow rate of people on the path,the distance between pedestrians and infrastructures,and individual pedestrian attributes all have significant impact on the route choice behaviors of pedestrians in subway station.Pedestrians tend to choose paths with guide signs,low pedestrian flow,straight and wider.
作者 成梦洁 刘少博 李杏彩 付艳云 CHENG Mengjie;LIU Shaobo;LI Xingcai;FU Yanyun(Intelligent Transportation Systems Research Center,Wuhan University of Technology,Wuhan 430063,China;不详)
出处 《武汉理工大学学报(信息与管理工程版)》 CAS 2023年第3期344-348,376,共6页 Journal of Wuhan University of Technology:Information & Management Engineering
基金 国家自然科学基金项目(52172308) 湖北省交通运输厅科技项目(2022-11-4-4).
关键词 路径选择 导向标识 虚拟现实(VR) 地铁站 行人流 route choice guide sign virtual reality(VR) subway stations pedestrian flow
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