以CNKI中国知网总库和Web of Science核心合集数据库为数据源,利用可视化分析工具Citespace V对2000-01-01-2019-05-01城市精明发展研究的相关文献进行分析。根据热点关键词共现和聚类分析、突现词前沿路径辨识分析、发文作者及机构合...以CNKI中国知网总库和Web of Science核心合集数据库为数据源,利用可视化分析工具Citespace V对2000-01-01-2019-05-01城市精明发展研究的相关文献进行分析。根据热点关键词共现和聚类分析、突现词前沿路径辨识分析、发文作者及机构合作网络分析以及发文期刊网络分析等方法绘制国内外相应的知识结构图谱,并立足城市精明发展研究的理论内涵、量化测度、实践应用层面进行评述。结果表明:1)国内外城市精明发展研究领域形成了初具规模的研究网络,但知识结构网络紧密性有待加强。2)国内外研究主题聚类知识群组数量较多,关键词共现聚类演化路径较长且相对分散,尚未形成势力强劲的时区流动和继承脉络。3)国内研究热点前沿逐渐从宏观理论分析转向城市微观实践应用以及城市收缩新兴态势。4)国内外研究人员学科背景广泛但互引关系稀松,亟待加强交流探讨;国内研究机构学科划分细致广泛,区域科研能力差异显著,东部地区和北京表现突出。5)国内经济管理与可持续发展、地理学、建筑科学与工程领域城市精明发展研究载文成果较为丰富。展开更多
Smart urban development is an inevitable choice, and is essential to overall strength improvement. It is important to explore an urban smart development path which unites smart growth with driving shrinkage perfectly ...Smart urban development is an inevitable choice, and is essential to overall strength improvement. It is important to explore an urban smart development path which unites smart growth with driving shrinkage perfectly in forming scientific and sustainable development concept and responding to new normal strategic opportunities. Based on statistic data of 294 prefecture-level cities and above in China from 2000 to 2015, we analyzed spatial and temporal evolution of urban smart development in China by constructing a dynamic fitting model of urban land expansion, population growth, and economic development as well as the coefficient of variation of urban smart development(CVSD). Further efforts were then made to consider differential distribution regularity of urban smart development so as to understand the driving mechanisms of heterogeneous classification of urban smart development in China from different scales and scale variation. Our results indicate that: 1) the disordered growth tendency of urban cities in China is overall well controlled in the middle, and late research and it mainly presented a doublet coexistence of shrinkage disordered cities and smart developing cities. It is particularly obvious that Northeast China and East China have regarded shrinkage disordered cities and smart developing cities as main development tendency separately. 2) Areas with basic stability and relative variation were relatively dispersed across the time period, but the proportion was far beyond areas with significant variation. It demonstrates a relative equilibrium spatial and temporal differential evolution pattern of prefecture-level cities and above in China, except for Tongling, Lanzhou and Chaoyang. 3) prefecture-level cities and above in China are mostly characterized by shrinkage disordered and smart development classification under the background of different scale and scale variation from 2000–2015; however, the spatial resonance relation is not obvious. 4) There are many interaction factors forming an important driving mechanism in developing the spatial and temporal pattern of urban smart development in China, including natural geographical factors, industrial structure adjustment, human capital radiation, regional traffic accessibility, and government decision-making intervention.展开更多
文摘以CNKI中国知网总库和Web of Science核心合集数据库为数据源,利用可视化分析工具Citespace V对2000-01-01-2019-05-01城市精明发展研究的相关文献进行分析。根据热点关键词共现和聚类分析、突现词前沿路径辨识分析、发文作者及机构合作网络分析以及发文期刊网络分析等方法绘制国内外相应的知识结构图谱,并立足城市精明发展研究的理论内涵、量化测度、实践应用层面进行评述。结果表明:1)国内外城市精明发展研究领域形成了初具规模的研究网络,但知识结构网络紧密性有待加强。2)国内外研究主题聚类知识群组数量较多,关键词共现聚类演化路径较长且相对分散,尚未形成势力强劲的时区流动和继承脉络。3)国内研究热点前沿逐渐从宏观理论分析转向城市微观实践应用以及城市收缩新兴态势。4)国内外研究人员学科背景广泛但互引关系稀松,亟待加强交流探讨;国内研究机构学科划分细致广泛,区域科研能力差异显著,东部地区和北京表现突出。5)国内经济管理与可持续发展、地理学、建筑科学与工程领域城市精明发展研究载文成果较为丰富。
基金Under the auspices of National Natural Science Foundation of China(No.41101548)Philosophy and Social Science Research Program of Heilongjiang Province in 2016(No.16JBL01)+1 种基金Key Research Projects of Economic and Social Development in Heilongjiang Province(No.JD2016014)Human Civilization and Social Science Supportive Program for Excellent Young Scholars of Harbin Normal University(No.SYQ2014-06)
文摘Smart urban development is an inevitable choice, and is essential to overall strength improvement. It is important to explore an urban smart development path which unites smart growth with driving shrinkage perfectly in forming scientific and sustainable development concept and responding to new normal strategic opportunities. Based on statistic data of 294 prefecture-level cities and above in China from 2000 to 2015, we analyzed spatial and temporal evolution of urban smart development in China by constructing a dynamic fitting model of urban land expansion, population growth, and economic development as well as the coefficient of variation of urban smart development(CVSD). Further efforts were then made to consider differential distribution regularity of urban smart development so as to understand the driving mechanisms of heterogeneous classification of urban smart development in China from different scales and scale variation. Our results indicate that: 1) the disordered growth tendency of urban cities in China is overall well controlled in the middle, and late research and it mainly presented a doublet coexistence of shrinkage disordered cities and smart developing cities. It is particularly obvious that Northeast China and East China have regarded shrinkage disordered cities and smart developing cities as main development tendency separately. 2) Areas with basic stability and relative variation were relatively dispersed across the time period, but the proportion was far beyond areas with significant variation. It demonstrates a relative equilibrium spatial and temporal differential evolution pattern of prefecture-level cities and above in China, except for Tongling, Lanzhou and Chaoyang. 3) prefecture-level cities and above in China are mostly characterized by shrinkage disordered and smart development classification under the background of different scale and scale variation from 2000–2015; however, the spatial resonance relation is not obvious. 4) There are many interaction factors forming an important driving mechanism in developing the spatial and temporal pattern of urban smart development in China, including natural geographical factors, industrial structure adjustment, human capital radiation, regional traffic accessibility, and government decision-making intervention.