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Spatial Redesign Method Based on Behavior Data Visualization System
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Gewicht:
96 g
Format:
220x150x4 mm
Beschreibung:
Guo, Zhe
Zhe Guo is studying for the master's degree in the Department of Architecture,Tongji University.Hao Yin holds a bachelor's degree in statistics and a master's degree in architecture from Tongji University.Their research focuses on data analysis and visualization system research based on behavior performance.
Zhe Guo is studying for the master's degree in the Department of Architecture,Tongji University.Hao Yin holds a bachelor's degree in statistics and a master's degree in architecture from Tongji University.Their research focuses on data analysis and visualization system research based on behavior performance.
There is a typical symbiotic relationship between behavior and space. Human behavior cannot be separated from the limitation of space. Design and evaluation of space are also inseparable from people's behavioral needs. Therefore, the study of behavior patterns can be regarded as the process of exploring the relationship between human and space. With the maturity of indoor positioning technology, the use of big data as a medium to quantitatively study the laws of behavior has gradually penetrated into the micro-level of indoor space. The results of behavioral characteristics provide strategies for the continuous redesign and optimization of space.