Space Syntax与Arc GIS集成技术下的商业体内行人轨迹预测

发布时间：2018-09-11 08:01

【摘要】：为有效地开展空间使用价值预测及人流预测,研究了建筑空间组织对人流分布的影响.以商业建筑为研究类型,选择两个典型样本,综合Space Syntax与Arc GIS集成技术对集销中心交通空间进行量化分析.该技术在建立理论与现实之间的反馈机制方面具有独特优势,研究数据表明:对于业种组合稳定的集销中心,可综合主入口位置、垂直交通布局与空间整合度等因素实现建筑内有效的人流分布预测;合理的垂直交通与业种分层组合有利于提高各层人流的可达性;集销中心内部空间均具有较强的对称性,其组构关系越简明、形态越统一,越利于实现人流均衡分布.
[Abstract]:In order to effectively predict the space use value and the flow of people, the influence of the spatial organization of the building on the distribution of the flow of people was studied. Taking commercial buildings as the research type, two typical samples are selected, and the traffic space of the center is analyzed quantitatively by integrating Space Syntax and Arc GIS technology. This technique has a unique advantage in establishing a feedback mechanism between theory and reality. The research data show that the main entrance position can be synthesized for the centralized selling center with stable combination of industry and species. Factors such as vertical traffic layout and spatial integration can effectively predict the distribution of people in buildings; reasonable combination of vertical traffic and layering is conducive to improving the reachability of human flow at all levels; the inner space of the center has strong symmetry. The more concise and uniform the fabric is, the more favorable it is to realize the balanced distribution of the flow of people.
【作者单位】：华南理工大学建筑设计研究院∥建筑学院;吉林大学珠海学院;
【基金】：国家自然科学基金资助项目(51278193) 中国博士后基金资助项目(2012m521602);中国博士后基金特别资助项目(2013T60805) 华南理工大学中央高校基本科研业务费专项资金资助项目(2015xms24)~~
【分类号】：P208;TU247

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