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Evaluation on Construction Level of Smart City: An Empirical Study from Twenty Chinese Cities

机译:智慧城市建设水平评估:来自中国二十座城市的实证研究

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Currently, the construction of smart cities (SCs) has been booming all over the world and it also acts as a useful tool for the Chinese government to promote the sustainable development of cities. Identifying the aspects of SCs and systematically evaluating the level of smart city construction are significant for urban management and healthy development. Based on the bibliometrics and Chinese experience with smart city construction, this paper firstly proposes dividing the smart city system into four subsystems, that is, smart infrastructure, smart economy, smart governance and smart participation and to establish their corresponding indicator systems. Information entropy method and grey correlation analysis are then adopted to determine the weight of each indicator and evaluate the city smartness level respectively. After that, 20 major cities in China are taken as cases for evaluation. The evaluation is performed on the grey correlation degree of these cities and their variations between 2012 and 2016. Through the further comparison of regional distribution and clustering analysis of these cities, the paper points out the general characteristics and level differences of smart city construction in China. Finally, some policy implications are proposed to improve the smartness level for Chinese cities.
机译:当前,智慧城市的建设在世界范围内蓬勃发展,它也成为中国政府促进城市可持续发展的有用工具。识别SC的方面并系统地评估智慧城市的建设水平对于城市管理和健康发展具有重要意义。基于文献计量学和中国智慧城市建设的经验,本文首先提出将智慧城市系统分为智能基础设施,智能经济,智能治理和智能参与四个子系统,并建立相应的指标体系。然后采用信息熵法和灰色关联分析法确定各指标的权重,分别评价城市的智能水平。之后,以中国20个主要城市为例进行评估。对这些城市的灰色关联度及其在2012年至2016年之间的变化进行了评估。通过进一步比较这些城市的区域分布和聚类分析,指出了中国智慧城市建设的总体特征和水平差异。 。最后,提出了一些政策含义,以提高中国城市的智能水平。

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