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通过数据模型和实证检验,采用信息辅助分析技术研究城市空间形态与空间体验的关联耦合作用.通过对13组受试者的情绪数据和GPS信息进行采集,利用空间聚类分析和热点分析确定具有显著统计学意义的有效采样点,在此基础上对其视域范围内的建筑形态指标、视域参数、视觉熵、分形维数进行了多角度研究.结果表明,空间体验受上述多种因素的综合影响,运用Logistic模型和接受者工作特性曲线(ROC)可确定关键的视域参数,模型具有较高的预测准确性.空间节点对空间体验也具有一定的影响,主要反映在空间序列以及场景转换的作用机制方面.最后,对城市空间的优化提出建议,应加强城市空间的连续性与网络化建设,指出建设与管理并重的重要性,打造宜人的城市空间.
Through the data model and empirical test, the information-assisted analysis technique is used to study the coupling effect between urban spatial morphology and spatial experience.Through the collection of emotion data and GPS information of 13 groups of subjects, spatial clustering analysis and hot spot analysis are used to determine Significant statistical significance of the sampling points, on the basis of its scope of the visual field architectural indicators, visual parameters, visual entropy, fractal dimension for a multi-angle study.The results show that the spatial experience by the above factors , The key viewing parameters can be determined by using the Logistic model and receiver operating characteristic curve (ROC), and the model has high prediction accuracy.The spatial nodes also have certain influence on the spatial experience, which is mainly reflected in the spatial sequence and The mechanism of scene change.Finally, to make recommendations on the optimization of urban space, we should strengthen the continuity of urban space and network construction, point out the importance of both construction and management, and create a pleasant urban space.