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作 者:唐开春 张译文 王敏 李健 Tang Kaichun;Zhang Yiwen;Wang min;Li Jian(Kunshan Planning and Design Co.,Ltd.,Suzhou 215000,Jiangsu,China;Gold Mantis School of Architecture,Soochow University,Suzhou 215000,Jiangsu,China;College of Landscape Architecture,Nanjing Forestry University,Nanjing 210037,China;School of Landscape Architecture,Zhejiang Agriculture&Forestry University,Hangzhou 311300,China)
机构地区:[1]昆山市规划设计有限公司,江苏苏州215000 [2]苏州大学金螳螂建筑学院,江苏苏州215000 [3]南京林业大学风景园林学院,南京210037 [4]浙江农林大学风景园林与建筑学院,杭州311300
出 处:《中国城市林业》2024年第1期164-169,共6页Journal of Chinese Urban Forestry
基 金:国家社科基金“数字经济赋能旅游业高质量发展的机理,效应与政策研究”(22BGL153)。
摘 要:针对目前城市街道绿化多指标评价的缺乏,文章以杭州市滨江区为例,从垂直视角,以百度街景为数据源,利用FCN-8S语义分割模型识别并计算街道绿视率与植被层次性,再通过熵权法融合数据以实现街道绿化整体评价。结果表明:滨江区绿视率与植被层次性在空间分布上差异较大;滨江区综合绿化存在地区差异性;滨江区多数街道绿化分布分散且不均匀,稳定性较差。因此,未来街道绿化建设中:应按需兼顾绿化数量及层次性,注重植被配置,减小地区绿化差异;应结合城市建设需求,加强街道绿化稳定性,美化城市形象。In view of the lack of multi-index evaluation of urban street greening,this paper takes Binjiang District of Hangzhou City as an example to identify and calculate the street GVI and VSD using FCN-8S semantic segmentation model from a vertical perspective,with the data source of Baidu Street View,and adopts entropy weight method to integrate data for realizing the all-around evaluation of street greening.The results show as follows:1)There are significant differences in the spatial distribution of GVI and VSD in the Binjiang District;2)There are regional differences in the CGL of Binjiang District;and 3)The distribution of most street greening in Binjiang District is unstable.Hence,the future street greening should take account of the needed quantity and structure diversity of greening,and stress the vegetation allocation to reduce regional differences in greening.In addition,the needs of urban construction should be considered for strengthening the stability of street greening and beautifying the city image.
关 键 词:绿视率 植被层次性 差异与融合分析 杭州市滨江区
分 类 号:TU985.12[建筑科学—城市规划与设计]
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