摘要: |
滨江路是滨江城市中极具特征性的线性空间,但针
对其特殊的地理环境条件,在特征性指标体系建构及量化评价
等方面还有待拓展。结合滨江路环境要素分析构建特征性指标
体系,运用基于语义分割的街景分析技术,对重庆市不同时期
的3代滨江路展开特征总结与问题剖析。结果表明:1)在指标
体系研究方面,应依据不同研究对象和研究目的,有针对性地
选取指标;2)在个案层面,由于道路功能的综合提升及城市地
形限制的减弱,使新一代滨江路空间品质显著提高;3)跨江立
体交通节点对滨江路空间品质影响较大。利用街景技术建立滨
江路空间品质评价指标体系,所得结论可为其品质提升提供科
学依据。 |
关键词: 风景园林 滨江路 空间品质评价 指标体系 街
景影像 |
DOI:10.19775/j.cla.2024.07.0045 |
投稿时间:2023-05-04修订日期:2024-04-21 |
基金项目: |
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Study on the Spatial Quality of Riverside RoadBased on Streetscape Analysis Technology: Takingthe Third Generation Riverside Road in Chongqingas an Example Square |
WANG Zhongde,WANG Xiaoyan |
Abstract: |
Riverside road is a very characteristic linear space in
riverside city, but in view of its special geographic environment
conditions, the construction and quantitative evaluation of the
characterization index system still need to be expanded. Combined
with the analysis of the environmental elements of the riverfront
road to construct the characteristic index system, using the
streetscape analysis technology based on semantic segmentation,
the characteristics of the three generations of riverfront roads in
different periods of Chongqing City are summarized and problems
are analyzed. The results show that, firstly, in the research of
indicator system, the indicators should be selected according
to different research objects and purposes; secondly, at the case
level, the spatial quality of the new generation of riverfront roads
is significantly improved due to the comprehensive enhancement
of the road function and the weakening of the urban topography
restriction; and lastly, it is analyzed that the cross-river threedimensional
transportation nodes have a greater impact on the
spatial quality of the riverfront roads. Through the use of streetscape
technology to establish the evaluation index system of the riverfront
road, the conclusions obtained are of great significance to the
improvement of the spatial quality of the riverfront. |
Key words: landscape architecture urban riverside road space
quality evaluation indicator system street view image |