Dynamic Visual Assessment of Urban Streetscapes: Hengshan Street in Shanghai as a Case Study

dc.contributor.authorWang, Xueling
dc.date.accessioned2024-11-28T11:13:30Z
dc.date.available2024-11-28T11:13:30Z
dc.date.issued2024en
dc.descriptionGame changer? Planning for just and sustainable urban regions, Paris, 8-12th July 2024en
dc.description.abstractObjectives: 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
dc.description.versionpublished versionen
dc.identifier.isbn978-94-64981-82-7en
dc.identifier.pageNumber1932-1954
dc.identifier.urihttps://hdl.handle.net/20.500.14235/2252
dc.language.isoEnglishen
dc.publisherAESOPen
dc.rightsopenAccessen
dc.rights.licenseCC-BYen
dc.sourceGame changer? Planning for just and sustainable urban regions, Paris, 8-12th July 2024en
dc.titleDynamic Visual Assessment of Urban Streetscapes: Hengshan Street in Shanghai as a Case Study
dc.typeconferenceObjecten
dc.type.versionpublishedVersionen
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