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This paper, taking 30 pilot smart cities as the research objects, firstly presents a reasonable and comprehensive evaluation index system of smart city development from six aspects. Secondly, factor analysis method was used to reduce the dimension of 23 indicators, and 7 common factors and their weights were obtained. The total score of 30 cities’ development status is ranked by the use of common factor and index data. The K-means clustering method makes cluster analysis on 30 cities, and divides each city into 4 categories according to the development situation of the indicators. Finally, based on the evaluation results, the author gives some suggestions on the construction of smart city.

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