Exploring the scale-effect of different land use types on the distribution pattern of urban park green space(PGS)at multiple grid scales would inform rational allocation and efficient collaborative construction of urb...Exploring the scale-effect of different land use types on the distribution pattern of urban park green space(PGS)at multiple grid scales would inform rational allocation and efficient collaborative construction of urban development land at different scales.Selecting 300-m,500-m,1,000-m,and 2,000-m grid scales,the research employed Create Fishnet tool in ArcGIS and Geodetector to construct a scale-effect analysis framework that revealed the scale-effects of different land use types on the distribution pattern of PGS at multiple grid scales in the main urban area of Nanjing,China in 2006,2012,and 2017.Main research results are:1)the overall distribution pattern of PGS showed the evolution characteristics from polarization to advancing quality and efficiency,while the trend gradually weakened with the increase of grid scale;2)the scale-effect of other land use types on PGS increasingly enhanced-the larger the grid scale,the more obvious the synergistic or compressive effect;3)the interactive scaleeffects of different land use types gradually enhanced-the larger the grid scale,the more significant the overall factor interaction;and 4)at the 300-m grid scale,the major interaction factors were residential,transportation,industrial/manufacturing,water area,and administration/public services,which gradually changed to residential,water area,and administration/public services up to the 2,000-m grid scale.The findings of this paper are expected to deepen the theory of the coupling between PGS and other land use types,as well as provide scientific support and a basis for efficient allocation,spatial layout optimization,and sustainable development of urban spaces.展开更多
数字技术创新网络对重塑创新空间、发展数字经济具有重要意义。论文从创新主体跨城合作关系视角出发,运用时序指数随机图模型(temporal exponential random graph model,TERGM)探究中国城际数字技术创新网络的内生结构、城市创新禀赋及...数字技术创新网络对重塑创新空间、发展数字经济具有重要意义。论文从创新主体跨城合作关系视角出发,运用时序指数随机图模型(temporal exponential random graph model,TERGM)探究中国城际数字技术创新网络的内生结构、城市创新禀赋及多维边界效应对网络演化的动态影响机制。研究表明:时空演变特征上,创新网络呈现“东密西疏”、以五大城市群为端点的“钻石型”结构,网络核心节点多为城市群经济及科技中心;网络链接模式由长距离主导转变为兼顾邻近扩散的小范围团体式创新;网络在不同区域、城市群及省份间存在群派林立的现象。影响机制中,内生结构的择优链接效应阻碍网络成长,闭合及中介效应促进网络演化,网络具有路径依赖性;城市创新禀赋的扩张效应与同异配效应驱动网络演化;城际关系变量显示,地理距离和行政边界显著阻碍网络演化。研究从地理维度可视化了数字技术创新要素的虚拟聚集实况,并兼顾网络内生结构对数字技术创新网络进行驱动机制分析,为实现创新空间虚拟集聚与地理集聚的宏观融合布局提供了实证支撑。展开更多
文摘Exploring the scale-effect of different land use types on the distribution pattern of urban park green space(PGS)at multiple grid scales would inform rational allocation and efficient collaborative construction of urban development land at different scales.Selecting 300-m,500-m,1,000-m,and 2,000-m grid scales,the research employed Create Fishnet tool in ArcGIS and Geodetector to construct a scale-effect analysis framework that revealed the scale-effects of different land use types on the distribution pattern of PGS at multiple grid scales in the main urban area of Nanjing,China in 2006,2012,and 2017.Main research results are:1)the overall distribution pattern of PGS showed the evolution characteristics from polarization to advancing quality and efficiency,while the trend gradually weakened with the increase of grid scale;2)the scale-effect of other land use types on PGS increasingly enhanced-the larger the grid scale,the more obvious the synergistic or compressive effect;3)the interactive scaleeffects of different land use types gradually enhanced-the larger the grid scale,the more significant the overall factor interaction;and 4)at the 300-m grid scale,the major interaction factors were residential,transportation,industrial/manufacturing,water area,and administration/public services,which gradually changed to residential,water area,and administration/public services up to the 2,000-m grid scale.The findings of this paper are expected to deepen the theory of the coupling between PGS and other land use types,as well as provide scientific support and a basis for efficient allocation,spatial layout optimization,and sustainable development of urban spaces.
文摘数字技术创新网络对重塑创新空间、发展数字经济具有重要意义。论文从创新主体跨城合作关系视角出发,运用时序指数随机图模型(temporal exponential random graph model,TERGM)探究中国城际数字技术创新网络的内生结构、城市创新禀赋及多维边界效应对网络演化的动态影响机制。研究表明:时空演变特征上,创新网络呈现“东密西疏”、以五大城市群为端点的“钻石型”结构,网络核心节点多为城市群经济及科技中心;网络链接模式由长距离主导转变为兼顾邻近扩散的小范围团体式创新;网络在不同区域、城市群及省份间存在群派林立的现象。影响机制中,内生结构的择优链接效应阻碍网络成长,闭合及中介效应促进网络演化,网络具有路径依赖性;城市创新禀赋的扩张效应与同异配效应驱动网络演化;城际关系变量显示,地理距离和行政边界显著阻碍网络演化。研究从地理维度可视化了数字技术创新要素的虚拟聚集实况,并兼顾网络内生结构对数字技术创新网络进行驱动机制分析,为实现创新空间虚拟集聚与地理集聚的宏观融合布局提供了实证支撑。
