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- Title
Quantifying the Urban Visual Perception of Chinese Traditional-Style Building with Street View Images.
- Authors
Zhang, Liying; Pei, Tao; Wang, Xi; Wu, Mingbo; Song, Ci; Guo, Sihui; Chen, Yijin
- Abstract
As a symbol of Chinese culture, Chinese traditional-style architecture defines the unique characteristics of Chinese cities. The visual qualities and spatial distribution of architecture represent the image of a city, which affects the psychological states of the residents and can induce positive or negative social outcomes. Hence, it is important to study the visual perception of Chinese traditional-style buildings in China. Previous works have been restricted by the lack of data sources and techniques, which were not quantitative and comprehensive. In this paper, we proposed a deep learning model for automatically predicting the presence of Chinese traditional-style buildings and developed two view indicators to quantify the pedestrians' visual perceptions of buildings. Using this model, Chinese traditional-style buildings were automatically segmented in streetscape images within the Fifth Ring Road of Beijing and then the perception of Chinese traditional-style buildings was quantified with two view indictors. This model can also help to automatically predict the perception of Chinese traditional-style buildings for new urban regions in China, and more importantly, the two view indicators provide a new quantitative method for measuring the urban visual perception in street level, which is of great significance for the quantitative research of tourism route and urban planning.
- Subjects
CHINA; BEIJING (China); VISUAL perception; STREETS; PEDESTRIANS; URBAN planning; URBAN tourism; DEEP learning; CHINESE people
- Publication
Applied Sciences (2076-3417), 2020, Vol 10, Issue 17, p5963
- ISSN
2076-3417
- Publication type
Article
- DOI
10.3390/app10175963