数字空间视角下智慧城市全景数据画像实证研究

An Empirical Study on Panoramic Data Portrait of Smart City from the Perspective of Digital Space

数字空间视角下分析智慧城市全景数据画像,以呈现我国城市发展态势,在数据层面上实现智慧城市建设赋能,进而利用全景数据画像辅助智慧城市建设。根据各维度内在逻辑数据构建智慧城市数据标签框架,采用灰色加权关联度分析方法对城市数据进行评估、排序和关联分析,以发现城市各维度内部逻辑及外部关联,通过K-means聚类分析方法得出4组具有显著差异的智慧城市全景数据画像群体结构。针对每个城市类型数据画像的关键特征进行具体分析,为智慧城市提供一个较为全面的数据画像标签类型解释,实现对城市运行状况的全景化数据呈现。

From the perspective of digital space,this study analyzes the panoramic data portrait of a smart city,to present the trend of urban development in our country,realize the capacity of smart city construction at the data level,and then use the panoramic data portrait to assist the construction of a smart city.According to the inherent logical data of each dimension,a smart city data label framework is constructed.The grey-weighted correlation analysis method is used to evaluate,rank,and analyze the urban data to discover each dimension's internal logic and external correlation.Four groups of data portrait group structure of smart city with significant differences are obtained by the K-means clustering analysis method.The data portrait's key characteristics of each city type are analyzed concretely,which provide's a more comprehensive interpretation of data portrait label type for a smart city and realizes the panoramic data presentation of city operation status.