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当前位置: 首页 > 文章 > 城市滨水绿道景观空间视觉吸引量化分析——以郑州市东风渠滨河绿道为例 湖北农业科学 2020 (6) 112-116
Position: Home > Articles > Quantitative analysis of visual attraction of urban waterfront greenway landscape:Taking the waterfront greenway of Dongfeng canal in Zhengzhou as an example Hubei Agricultural Sciences 2020 (6) 112-116

城市滨水绿道景观空间视觉吸引量化分析——以郑州市东风渠滨河绿道为例

作  者：
贺雪会;杨芳绒
单  位：
关键词：
景观空间;滨水绿道;视觉吸引;熵值赋权法;东风渠
摘  要：
针对滨水绿道景观视觉资源遭到破坏,模式化发展以及特色风貌缺失等问题,从视觉吸引角度出发,以郑州市东风渠滨水绿道为例,通过OpenCV和SBE法分别获取空间尺度、植物、实体、色彩、质地、水体、动态景象、景观多样性、景观自然性、景观协调性10个指标基础数据,结合熵值赋权法计算权重,并通过SPSS 25.0软件进行因子相关性和逐步回归分析,最后建立视觉吸引模型,并对绿道进行评价。结果表明,东风渠滨水绿道视觉吸引质量较高,文博东路-花园路段、北三环-徐寨路段视觉吸引质量等级最高,东明路-中州大道段最低,差异较为明显。
译  名：
Quantitative analysis of visual attraction of urban waterfront greenway landscape:Taking the waterfront greenway of Dongfeng canal in Zhengzhou as an example
作  者：
HE Xue-hui;YANG Fang-rong;College of Forestry,Henan Agricultural University;
关键词：
landscape space;;waterfront greenway;;visual attraction;;entropy weighting method;;Dongfeng canal
摘  要：
Aiming at the problems of such as the destruction of visual resources, model development and lack of characteristic features of waterfront greenway landscape, from the perspective of visual attraction, taking the Zhengzhou Dongfeng canal waterfront greenway as an example, the basic data of 10 indicators such as spatial scale, plant, entity,color, texture, water, dynamic scene, landscape diversity, landscape naturalness and landscape coordination were obtained by OpenCV and SBE methods respectively, then combined with the entropy method to calculate the weight,the factor correlation and stepwise regression analysis were made by SPSS 25.0 software. Finally, the visual attraction model was established and the greenway was evaluated. The results showed that the visual attraction quality of Dongfeng Canal's waterfront greenway was high, Wenbo East Road-Garden Road Section and North Third Ring Road-Xuzhai Road Section were the highest, and Dongming Road-Zhongzhou Avenue section was the lowest, and the difference was significant.

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