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| An Empirical Study on Panoramic Data Portrait of Smart City from the Perspective of Digital Space |
| Zhang Yanfeng, Zou Kai, Peng Lihui, Cao Dan |
| School of Public Management, Xiangtan University, Xiangtan 411105 |
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Abstract 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.
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Received: 08 December 2019
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