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    • Social groups’ spatio-temporal behavior characteristics analysis in subway evacuation process based on VR digital twin experiments

    • The digital twin technology brings a new perspective to the study of crowd behavior. This article constructs a theoretical framework for digital twin crowd behavior experiments, and reveals the characteristics of group evacuation behavior through VR experiments, providing optimization suggestions for subway station evacuation planning and emergency plans.
      • role:First author第一作者
      • Affiliation:

        National Engineering Research Center for Geomatics, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

      • Email:huanglin@radi.ac.cn
      • Introduction:黄琳,研究方向为人群行为模拟、数字孪生应用。E-mail: huanglin@radi.ac.cn

      HUANG Lin

      1,
      • role:Corresponding author通信作者
      • Affiliation:

        National Engineering Research Center for Geomatics, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

      • Email:liwh@aircas.ac.cn
      • Introduction:李文航,研究方向为微观人群行为建模与模拟。E-mail: liwh@aircas.ac.cn

      LI Wenhang

      1 * ,
      • Affiliation:

        National Engineering Research Center for Geomatics, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

        University of Chinese Academy of Sciences, Beijing 101408, China

      GONG Jianhua

      12,
      • Affiliation:

        National Engineering Research Center for Geomatics, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

        University of Chinese Academy of Sciences, Beijing 101408, China

      MA Haonan

      12,
      • Affiliation:

        National Engineering Research Center for Geomatics, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

        University of Chinese Academy of Sciences, Beijing 101408, China

      HU Mengyu

      12
    • Vol. 28, Issue 5, Pages: 1314-1329(2024)  
    • DOI:10.11834/jrs.20243381    

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