摘要
[目的/意义]智慧城市建设有赖于多领域的联动协调,在转型升级进程中面临多重因素叠加交互下的政策协同问题。[方法/过程]本研究通过挖掘、量化国家和3个省份智慧城市相关政策的文本主题,利用数据可视化技术和统计学方法,对智慧城市政策协同的力度和结构进行了演进分析。[结果/结论]27个政策主题以顶层设计、基础保障、融合互促、公共治理和公共服务等方式与智慧城市建设形成协同,在协同力度上经历了“空白期—起步期—活跃期—转型期”4个阶段,央地政策协同主题的比例总体上趋向一致,区域间存在差异。本研究弥补了相关研究在量化分析和整体性、系统性上的不足,创新了政策协同力度、结构的演进分析方法。
[Purpose/Significance]Smart city construction relies on coordinated efforts across various domains,but faces policy coordination challenges stemming from a convergence of multiple interacting factors during transformation and upgrading processes.[Method/Process]This study explored and quantified textual topics within national and three provincial smart city related policies.Through the application of data visualization techniques and statistical methods,the study conducted an evolutionary analysis on the strength and structure of policy collaboration in smart cities.[Result/Conclusion]27 policy topics contribute to coordination in smart city construction through top-level design,basic guarantees,integration and mutual promotion,public governance,and public services.The analysis reveals four stages of coordination strength:the blank period,initiation period,active period,and transformation period.The proportion of topics between central and local governments is generally consistent,but there are differences between regions.This study addresses gaps in quantitative research,integrity and systematicness of related studies,and also innovates research methods for analyzing the evolution of policy coordination intensity and structure.
作者
刘博文
夏义堃
Liu Bowen;Xia Yikun(Research Institute for Data Management Innovation,Nanjing University,Suzhou 215163,China)
出处
《现代情报》
北大核心
2025年第9期81-96,共16页
Journal of Modern Information
基金
国家社会科学基金重大项目“基于数智融合的信息分析方法创新与应用研究”(项目编号:22&ZD326)。
关键词
智慧城市政策
政策量化分析
文本主题挖掘
政策协同力度
政策协同结构
smart city policy
policy quantitative analysis
text topic mining
policy coordination strength
policy coordination structure
作者简介
刘博文(1994-),男,博士研究生,研究方向:科技战略情报与智能情报分析;通信作者:夏义堃(1967-),女,教授,博士,博士生导师,研究方向:政府数据治理与智能情报分析。
