Dynamic Visual Assessment of Urban Streetscapes: Hengshan Street in Shanghai as a Case Study
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Date
2024
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AESOP
Abstract
Objectives: By investigating the urban street-human perception nexus under "dynamic" walks, this paper aims to enhance urban streetscapes and optimize pedestrian experiences. Methods: In this study, a dynamic visual assessment system, encompassing objective, subjective, and interactive components, was developed through a combined application of qualitative and quantitative research methods. The computational foundation of this system was strengthened by Geographic Information System (GIS) spatial analysis, image semantic segmentation algorithms, Partial Least Squares Regression in SPSS, and so forth. Results: Reduced desire for space and pedestrian flow are caused by an increase in dynamic viewing frequency. The public’s impression of street space is enhanced in terms of clarity, transparency, ease of use, and richness when there is a greater range of spatial hues within the field of view, a smaller building area, and more translucent and clear spaces. Conclusion: The research results are of great significance to street spatial design.
Keywords: dynamic viewing, visual assessment of landscapes, interaction between subjects and objects, urban streetscape
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Game changer? Planning for just and sustainable urban regions, Paris, 8-12th July 2024
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CC-BY