基于熵权TOPSIS模型的智慧城市发展水平评价研究
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摘要
[目的/意义]通过对国内外文献的梳理建立智慧城市评价指标体系,并应用于我国智慧城市发展水平的评价,计算各智慧城市发展排名,对各城市智慧化发展过程中的优势经验、特征进行总结,了解总体发展现状。[方法/过程]构建智慧城市运行模型,从5个维度出发,构建智慧城市发展水平指标评价体系。在案例研究中,通过实地调研以及查阅权威统计资料,收集各指标下的原始数据,应用熵权TOPSIS模型计算。[结果/结论]首先计算得出城市间各个维度排名,再计算出城市间综合排名,其次根据排名划分为三个层次,最后归纳总结每一座城市的优势经验。
[Purpose/significance] This paper constructed an evaluation index system of smart city and evaluated the development of smart city in China.The smart development ranking of each city is calculated,and the advantages,experiences and characteristics of each city's intelligent development process are summarized to understand the overall development status.[Method/process] This paper constructed the operation model of smart city and an evaluation index system with five dimensions for smart city.In the case study,we collected initial data through field research and accessing authoritative statistics,and applied Entropy TOPSIS model to calculate the index system.[Result/conclusion] Results show the ranking of each smart city by dimensions and the comprehensive ranking.The cities are divided into three levels according to their ranking,and the advantages and experiences of each city are also summarized.
[Purpose/significance] This paper constructed an evaluation index system of smart city and evaluated the development of smart city in China.The smart development ranking of each city is calculated,and the advantages,experiences and characteristics of each city's intelligent development process are summarized to understand the overall development status.[Method/process] This paper constructed the operation model of smart city and an evaluation index system with five dimensions for smart city.In the case study,we collected initial data through field research and accessing authoritative statistics,and applied Entropy TOPSIS model to calculate the index system.[Result/conclusion] Results show the ranking of each smart city by dimensions and the comprehensive ranking.The cities are divided into three levels according to their ranking,and the advantages and experiences of each city are also summarized.
引文
[1] 张海侠,陈莉.基于熵权—云模型的智慧城市发展潜力评价——以华东13城市为例[J].淮阴工学院学报,2018,27(1):69-74,91.
[2] 贝芳芳.基于熵权的绿色智慧城市评价[D].合肥:安徽建筑大学,2017.
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[4] 崔璐,杨凯瑞.智慧城市评价指标体系构建[J].统计与决策,2018,34(6):33-38.
[5] KOMNINOS N.Intelligent cities:Towards interactive and global innovation environments[J].International Journal of Innovation and Regional Development,2009,1(4):337-355.
[6] ANGELIDOU M.Smart city policies:A spatial approach[J].Cities,2014(41):3-11.
[7] 曾子明,杨倩雯.城市突发事件智慧管控情报体系构建研究[J].情报理论与实践,2017,40(10):51-55,79.
[8] 马捷,胡漠,连明.基于多元主体协同的智慧城市信息生态链设计[J].情报科学,2016,34(12):70-74,81.
[2] 贝芳芳.基于熵权的绿色智慧城市评价[D].合肥:安徽建筑大学,2017.
[3] 李霞,FONG P S W.基于小波神经网络的智慧武汉信息化发展评价及对策研究[J].情报科学,2018,36(2):113-117.
[4] 崔璐,杨凯瑞.智慧城市评价指标体系构建[J].统计与决策,2018,34(6):33-38.
[5] KOMNINOS N.Intelligent cities:Towards interactive and global innovation environments[J].International Journal of Innovation and Regional Development,2009,1(4):337-355.
[6] ANGELIDOU M.Smart city policies:A spatial approach[J].Cities,2014(41):3-11.
[7] 曾子明,杨倩雯.城市突发事件智慧管控情报体系构建研究[J].情报理论与实践,2017,40(10):51-55,79.
[8] 马捷,胡漠,连明.基于多元主体协同的智慧城市信息生态链设计[J].情报科学,2016,34(12):70-74,81.