[1]张 宁,盛 武. 基于主成分分析和熵值法的智慧城市发展现状研究[J].城市学刊,2018,39(2018年03):30-35.
 ZHANG Ning,SHENG Wu. Research on the Situation of Smart City Based on Principal ComponentAnalysis and Entropy Method[J].Journal of urban studies,2018,39(2018年03):30-35.
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 基于主成分分析和熵值法的智慧城市发展现状研究()
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《城市学刊》[ISSN:1006-6977/CN:61-1281/TN]

卷:
39
期数:
2018年2018年03期
页码:
30-35
栏目:
新型城镇化研究
出版日期:
2018-05-20

文章信息/Info

Title:
 Research on the Situation of Smart City Based on Principal Component
Analysis and Entropy Method
作者:
 张 宁盛 武
 安徽理工大学 经济与管理学院,安徽 淮南 232001
Author(s):
 ZHANG Ning SHENG Wu
 School of Economics and Management, Anhui University of Science and Technology, Huainan, Anhui 232001, China
关键词:
 智慧城市熵值法主成分分析法评价指标
Keywords:
  smart city entropy value method principal component analysis evaluation index
文献标志码:
A
摘要:
 


为提高国内智慧城市建设水平,结合现有的智慧城市评价指标与各智慧城市发展的实际情况,
选用经济水平、环境治理、基础设施等5 个一级评价指标,运用主成分分析法和熵值法对北京、上海等10
个样本城市进行综合分析,找出影响智慧城市建设的关键因素以及各城市的智慧城市建设水平。结果表明:
影响智慧城市建设的因素众多,其中,经济实力、人才支撑、科技创新能力是重要影响因素;我国智慧城市
建设存在发展水平不均衡,不同城市之间发展差异较大的现象;北京、上海、广州、深圳在智慧城市建设中
已取得显著成效。
Abstract:
 It is to improve the level of the domestic wisdom of urban construction, combination with the existing
evaluation index of smart city and the actual situation of the development of smart cities, building economic level,
environmental governance, infrastructure and other five first-class evaluation indicators. Using the principal component analysis
and entropy value method, a comprehensive analysis is made on 10 sample cities such as Beijing and Shanghai to find out the
key factors influencing a smart city construction and the level of smart city construction in each city. The results show that: there
are many factors affecting the construction of a smart city, among which, the economic strength, talent support and technological
innovation ability are important influencing factors. The development of smart city in China is unevenly developed and there are
large differences in development among different cities. Currently,Beijing, Shanghai, Guangzhou and Shenzhen have achieved
remarkable results in the construction of smart cities.
更新日期/Last Update: 2018-07-19