A person is considered as information-energy system with a host of feedbacks. The possibility of determining the statistical characteristics in a multiple intelligences profile of various social groups’ representativ...A person is considered as information-energy system with a host of feedbacks. The possibility of determining the statistical characteristics in a multiple intelligences profile of various social groups’ representatives using the vibraimage technology is investigated. Theft and alcohol abuse have been chosen as examples of significant social problems including deviant behavior and the trigger of formation of various socially vulnerable groups. The comparative analysis of conscious and unconscious attitudes in multiple intelligences structure of individuals prone to deviant behavior and the control group allows differentiating professional preferences and the impact of society on different social groups.展开更多
“数字孪生”概念的提出为人群行为研究提供了新思路,本文提出了数字孪生人群行为实验理论框架,从基本理论、基本原则等方面进行总结,包括地理认知理论、相似性理论、尺度理论、复杂性问题理论和地理智能模拟原理,以及实验相似性、协同...“数字孪生”概念的提出为人群行为研究提供了新思路,本文提出了数字孪生人群行为实验理论框架,从基本理论、基本原则等方面进行总结,包括地理认知理论、相似性理论、尺度理论、复杂性问题理论和地理智能模拟原理,以及实验相似性、协同和异构、规范化和标准化原则,并进一步提出数字孪生人群疏散实验研究内容及分类。根据该理论框架开展基于VR的群组疏散孪生实验,并根据实验数据定性和定量分析群组空间结构特征和疏散行为特征。结果表明,群组成员在孪生疏散过程中呈现出V型和“side by side”结构,在扶梯这类特殊区域中群组的空间结构有较大的变动,疏散个体面向方向与其他群组成员间的夹角小于60°,并且群组成员间的较小间距和信息扩散交互可以大大提高疏散效率。此外,分析孪生场景中的疏散轨迹和眼动轨迹得出疏散人群在柱子、出口、换乘通道等位置与环境交互较多,表明疏散人群在这些位置期望得到环境信息的需求较大。本文的孪生实验结果能够发现地铁站内的疏散瓶颈区域和群组行为规律,为地铁站内的布局规划和应急预案提供优化建议。展开更多
文摘A person is considered as information-energy system with a host of feedbacks. The possibility of determining the statistical characteristics in a multiple intelligences profile of various social groups’ representatives using the vibraimage technology is investigated. Theft and alcohol abuse have been chosen as examples of significant social problems including deviant behavior and the trigger of formation of various socially vulnerable groups. The comparative analysis of conscious and unconscious attitudes in multiple intelligences structure of individuals prone to deviant behavior and the control group allows differentiating professional preferences and the impact of society on different social groups.
文摘“数字孪生”概念的提出为人群行为研究提供了新思路,本文提出了数字孪生人群行为实验理论框架,从基本理论、基本原则等方面进行总结,包括地理认知理论、相似性理论、尺度理论、复杂性问题理论和地理智能模拟原理,以及实验相似性、协同和异构、规范化和标准化原则,并进一步提出数字孪生人群疏散实验研究内容及分类。根据该理论框架开展基于VR的群组疏散孪生实验,并根据实验数据定性和定量分析群组空间结构特征和疏散行为特征。结果表明,群组成员在孪生疏散过程中呈现出V型和“side by side”结构,在扶梯这类特殊区域中群组的空间结构有较大的变动,疏散个体面向方向与其他群组成员间的夹角小于60°,并且群组成员间的较小间距和信息扩散交互可以大大提高疏散效率。此外,分析孪生场景中的疏散轨迹和眼动轨迹得出疏散人群在柱子、出口、换乘通道等位置与环境交互较多,表明疏散人群在这些位置期望得到环境信息的需求较大。本文的孪生实验结果能够发现地铁站内的疏散瓶颈区域和群组行为规律,为地铁站内的布局规划和应急预案提供优化建议。
