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全球智慧城市群的比较研究

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对全球智慧城市群或城市带的发展状况开展比较研究,分析其发展水平.首先,展示针对全球智慧城市群的相应评价方法,构建包括传统基础设施、数字基础设施和制度基础设施领域在内的9 个指标.其次,以长三角地区、粤港澳大湾区、纽约湾区、大湖区、日本三湾、波斯湾、墨西哥湾、北海和波罗的海在内的滨海城市群或城市带,以及阿尔卑斯山脉、喀尔巴阡山—巴尔干山脉、落基山脉和亚洲内陆在内的内陆集群作为分析对象.最后,对上述城市群或城市带的智慧城市建设情况开展比较研究,展示它们不同的发展水平.结果显示,纽约湾、波罗的海和北海智慧城市群或城市带领先全球,令人意外的是粤港澳大湾区和长三角智慧城市群在总分和单项上均与全球有一定差距.
Comparative study on global smart city clusters
This paper conducts a comparative study on the development of global smart city clusters or belts,and analyzes their different developmental levels.Foremost,the corresponding evaluation methodology of the global smart city cluster is presented,and 9 indicators including traditional infrastructure,digital infrastructure,and institutional infrastructure are established.Moreover,it establishes the coastal city clusters or belts as analysis objectives including the Yangtze River Delta Region,the Guangdong-Hong Kong-Macao Greater Bay Area,the New York Bay Area,the Great Lakes Region,the three Bays of Japan,the Persian Gulf,the Gulf of Mexico,the North Sea and the Baltic Sea,as well as the inland clusters involving the Alps,the Carpathian Mountains and the Balkan Mountains,the Rocky Mountains and the interior of Asia.Then,these city clusters or belts are evaluated according to the indicators.After that,comparative studies of smart city clusters or belts construction are carried out to demonstrate their different development levels.The results conclude that the New York Bay,the Baltic Sea,and the North Sea lead the world in the construction of smart city clusters or urban belts.Surprisingly,the Guangdong-Hong Kong-Macao Greater Bay Area and the Yangtze River Delta Region smart city cluster are behind the world in terms of total scores and individual scores.

global smart city clustercomparative studyGuangdong-Hong Kong-Macao Greater Bay AreaYangtze River Delta Region

陈溪、胡珈毓、陈凌羽、贺毓、王栋、朱旭峰

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浙江外国语学院新型国际关系高等研究院,浙江 杭州 310023

南开大学外国语学院,天津 300071

香港中文大学地理与资源管理学院,香港 999077

清华大学公共管理学院,北京 100084

北京大学国际关系学院,北京 100871

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全球智慧城市群 比较研究 粤港澳大湾区 长三角地区

教育部哲学社会科学研究重大课题攻关项目国家社会科学基金重大项目

23JZD04221&ZD172

2024

中国软科学
中国软科学研究会

中国软科学

CSTPCDCSSCICHSSCD北大核心
影响因子:2.793
ISSN:1002-9753
年,卷(期):2024.(9)
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