| 摘要: |
| 在新时代城乡人居环境高质量发展的背景下，从二维和三维两方面测度城市街景蓝绿空间感知状况，有助于为街道空间品质提升和城市绿化建设提出科学的参考依据和优化策略。以江南水乡浙江省绍兴市为例，使用街景图片数据和全卷积神经网络语义分割法，识别二环内沿街蓝绿空间，并基于遥感影像的归一化差分植被指数和归一化差分水体指数比较二维平面与三维空间的蓝绿空间的差异，结果表明：1）绍兴市整体沿街绿色空间感知度较高，但存在较大的空间分异；2）沿街蓝色空间虽然充裕，但由于路边植被、围栏等形成视觉障碍，存在不少“临水不见水”的现象；3）沿街绿色空间和蓝色空间的比例在二维和三维方面分别呈中等程度相关和弱相关。基于此，就绍兴市沿街蓝绿空间的提升与改进提出了相应的建议。 |
| 关键词: 风景园林 街景图片 蓝绿空间 感知 绿视率 人本尺度 |
| DOI：10.14085/j.fjyl.2022.07.0111.07 |
| 分类号:TU986 |
| 基金项目:国家自然科学基金（编号 52078254，31971721）；江苏高校优势学科建设工程资助项目 |
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| Multi-dimensional Evaluation of Streetscape Blue and Green Spaces in Shaoxin, Zhejiang |
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XU Zhen1, ZHOU Shuang1, CHEN Fei2
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1.Nanjing Forestry University;2.University of Liverpool
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| Abstract: |
| In the context of high-quality development of the urban and rural living environment in the new era, measuring the perception of urban streetscape blue and green spaces in both two and three dimensions can help provide a scientific reference basis and optimization strategies for the improvement of street space quality and urban greening construction. Taking Shaoxing, Zhejiang, a water town in the south of the lower reaches of the Yangtze River, as an example, this research identifies blue and green spaces along the street in the area within the Second Ring Road by virtue of streetscape image data and the fully convolutional network (FCN) semantic segmentation method and, in combination with the normalized difference vegetation index and the normalized difference water index based on satellite remote sensing images, compares the differences between two-dimensional and three-dimensional blue and green spaces along the street. The results show that: 1) green spaces along the street in Shaoxing are well perceivable overall, despite large spatial variation between different green spaces; 2) although there exist abundant blue spaces along the street, water cannot be seen from many waterfront streets due to visual obstacles arising from roadside vegetation and fences; 3) the proportions of green and blue spaces along the street are moderately correlated in two dimensions and weakly correlated in three dimensions. The research proposes corresponding suggestions for enhancing and improving blue and green spaces along the street in Shaoxing. |
| Key words: landscape architecture streetscape image blue and green space perception green view index human-oriented scale |
| 引用本文: | 徐振,周霜,陈飞.浙江省绍兴市街景蓝绿空间多维度评价[J].风景园林，2022，29（7）：111-117. |
| XU Zhen,ZHOU Shuang,CHEN Fei.Multi-dimensional Evaluation of Streetscape Blue and Green Spaces in Shaoxin, Zhejiang[J].Landscape Architecture Journal, 2022, 29(7):111-117. |
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