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通过九个省(直辖市)所辖地级市的园林发展水平评估,为促进城市园林绿地协调发展提供依据。采用因子分析法,选取园林绿地面积(x1)、公共绿地面积(x2)、人均绿地面积(x3)、建成区绿化覆盖面积(x4)、建成区绿化覆盖率(x5)5个指标,将以河南省为中心的九省(直辖市)作为研究区。建立因子得分函数为F1=0.311Zx1+0.368Zx2-0.115Zx3+0.367Zx4-0.049Zx5;F2=0.079Zx1-0.105Zx2+0.662Zx3-0.092Zx4+0.556Zx5(Z为标准化处理后的数值),园林发展水平评估函数F(x)=0.60498F1+0.24277F2。除北京、天津两个直辖市外,城市园林发展水平平均最高的是山东省,最低的是陕西省。山东省各地级城市的园林发展水平分布最均匀,在排名前30位的城市中,山东省占11个,湖北省各地级城市的园林发展水平分布最不均匀。所有的省会都具有较高的城市园林发展水平。各省(直辖市)以及其所辖地级市的GDP曲线和城市园林发展水平得分曲线都高度吻合,说明城市经济水平直接决定了城市园林绿地的建设水平。
Through the appraisal of landscape development level in prefecture-level cities under the jurisdiction of nine provinces (municipalities directly under the Central Government), it provides the basis for promoting the coordinated development of urban landscape and green space. Factor analysis is used to select five indicators of green space (x1), public green space (x2), per capita green space (x3), green coverage of built-up area (x4) and green coverage of built-up area Henan Province as the center of nine provinces (municipalities) as a research area. The establishment factor score function is F1 = 0.311Zx1 + 0.368Zx2-0.115Zx3 + 0.367Zx4-0.049Zx5; F2 = 0.079Zx1-0.105Zx2 + 0.662Zx3-0.092Zx4 + 0.556Zx5 (Z is the normalized value), and the garden development The horizontal evaluation function F (x) = 0.60498F1 + 0.24277F2. In addition to Beijing and Tianjin, two municipalities directly under the Central Government, the highest level of urban landscape development in Shandong Province, the lowest is Shaanxi Province. The landscape distribution of all prefecture-level cities in Shandong Province is the most evenly distributed. Among the top 30 cities, Shandong Province accounts for 11 of them. The landscape distribution of all prefecture-level cities in Hubei Province is the most uneven. All the provincial capitals have a high level of urban landscape development. The GDP curve of each province (municipality directly under the Central Government) and its prefecture-level cities is in good agreement with the score curve of urban landscape development, indicating that the level of urban economy directly determines the level of urban green space construction.