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Simulation and validation of human movement in building spaces

机译:模拟和验证建筑空间中的人体运动

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摘要

Data on human movement are valuable input data for building-simulation tools such as indoor-climate simulation and working-condition assessment. However, reliable data on human movement in buildings are scarcely available. Existing human-movement models are, typically, developed for (semi)public spaces and lack applicability to indoor spaces. The research presented here focuses on indoor office-building spaces and normal working conditions. The simulation model was developed in conjunction with a validation method. Web-based diaries and radio frequency identification technology were used to collect data on human behaviour in a real-life situation. The performance of the model was tested against a set of newly developed criterion variables (for example, the usage of facilities or the movement behaviour of employees) related to human movement in building spaces. Observed and predicted movement patterns were compared for these criteria. Results indicate close correspondence between simulated and observed behaviour, providing evidence of the validity of the model. The model can be used to accurately predict the space utilisation of an organisation.
机译:关于人体运动的数据是建筑模拟工具(如室内气候模拟和工作条件评估)的宝贵输入数据。但是,几乎没有关于建筑物中人类活动的可靠数据。现有的人体运动模型通常是为(半)公共空间开发的,并且缺乏适用于室内空间的模型。这里介绍的研究集中在室内办公楼空间和正常工作条件上。仿真模型是与验证方法一起开发的。基于网络的日记和射频识别技术被用来收集有关现实生活中人类行为的数据。针对一组新开发的与人类在建筑空间中的移动有关的标准变量(例如,设施的使用或员工的移动行为)对模型的性能进行了测试。比较这些标准的观察和预测运动模式。结果表明模拟行为与观察到的行为之间具有密切的对应关系,为模型的有效性提供了证据。该模型可用于准确预测组织的空间利用率。

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  • 来源
    《Environment and Planning》 |2010年第4期|P.592-609|共18页
  • 作者单位

    Faculty of Architecture, Building and Planning, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands;

    Faculty of Architecture, Building and Planning, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands;

    Faculty of Architecture, Building and Planning, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands;

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  • 入库时间 2022-08-18 03:37:16

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