Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.landurbplan.2018.09.015 |
Measuring visual quality of street space and its temporal variation: Methodology and its application in the Hutong area in Beijing | |
Tang, Jingxian; Long, Ying1,2 | |
2019-11-01 | |
发表期刊 | LANDSCAPE AND URBAN PLANNING |
ISSN | 0169-2046 |
EISSN | 1872-6062 |
出版年 | 2019 |
卷号 | 191 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
英文摘要 | Although it is widely known that quality of street space plays a vital role in promoting urban vibrancy, there is still no consensus on how to quantitatively measure it for a large scale. Recent emerging dataset Street View Picture has revealed the possibility to overcome the previous limit, thus bringing forward a research paradigm shift. Taking this advantage, this paper explores a new approach for visual quality evaluation and variation identification of street space for a large area. Hutongs, which typically represent for historical street space in Beijing, are selected for empirical study. In the experimental part, we capture multi-years Tencent Street View Picture covering all the Hutongs, and conduct both physical and perceived visual quality evaluation. The physical visual quality of street space is achieved automatically by combining 3-dimensional composition calculation of greenery, openness, enclosure using machine-learning segmentation method SegNet, and 2-dimensional analysis of street wall continuity and cross-sectional proportion; perceived visual quality of street space is evaluated by stay willingness scoring from five aspects. The variation of quality is evaluated based on the identified physical space variations. The result indicates that visual quality of Hutongs are not satisfied, while some regeneration projects in the historical protection block is better. Most Hutongs are in shortage of visual green, relative more continuous but with low cross-sectional ratio. Hutongs near main road witness an increasing trend of motorization. The difference between physical and perceived quality indicates the feasibility and limitation of the auto-calculation method. In the most recent 3-4 years, less than 2.5% Hutongs are improved, which are mainly slow beautification. |
英文关键词 | Public space Visual quality Perceived quality Street view picture Hutong |
领域 | 资源环境 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000491614300008 |
WOS关键词 | SKY VIEW FACTOR ; TREE COVER ; PHYSICAL-ACTIVITY ; URBAN DESIGN ; REALITY ; TOOL |
WOS类目 | Ecology ; Environmental Studies ; Geography ; Geography, Physical ; Regional & Urban Planning ; Urban Studies |
WOS研究方向 | Environmental Sciences & Ecology ; Geography ; Physical Geography ; Public Administration ; Urban Studies |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/188156 |
专题 | 资源环境科学 |
作者单位 | 1.Tsinghua Univ, Sch Architecture, Beijing, Peoples R China; 2.Tsinghua Univ, Hang Lung Ctr Real Estate, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Tang, Jingxian,Long, Ying. Measuring visual quality of street space and its temporal variation: Methodology and its application in the Hutong area in Beijing[J]. LANDSCAPE AND URBAN PLANNING,2019,191. |
APA | Tang, Jingxian,&Long, Ying.(2019).Measuring visual quality of street space and its temporal variation: Methodology and its application in the Hutong area in Beijing.LANDSCAPE AND URBAN PLANNING,191. |
MLA | Tang, Jingxian,et al."Measuring visual quality of street space and its temporal variation: Methodology and its application in the Hutong area in Beijing".LANDSCAPE AND URBAN PLANNING 191(2019). |
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