Study on Mechanism of Visual Comfort Perception in Urban 3D Landscape

Guardado en:
Detalles Bibliográficos
Publicado en:Buildings vol. 15, no. 4 (2025), p. 628
Autor principal: Zhang, Miao
Otros Autores: Shen, Tao, Huo, Liang, Liao, Shunhua, Shen, Wenfei, Li, Yucai
Publicado:
MDPI AG
Materias:
Acceso en línea:Citation/Abstract
Full Text + Graphics
Full Text - PDF
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

MARC

LEADER 00000nab a2200000uu 4500
001 3170904858
003 UK-CbPIL
022 |a 2075-5309 
024 7 |a 10.3390/buildings15040628  |2 doi 
035 |a 3170904858 
045 2 |b d20250101  |b d20251231 
084 |a 231437  |2 nlm 
100 1 |a Zhang, Miao  |u School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, China; <email>zm000419@163.com</email> (M.Z.); <email>huoliang@bucea.edu.cn</email> (L.H.); <email>swf6661@outlook.com</email> (W.S.); <email>liyucai1211@163.com</email> (Y.L.) 
245 1 |a Study on Mechanism of Visual Comfort Perception in Urban 3D Landscape 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a Landscape visual evaluation is a key method for assessing the value of visual landscape resources. This study aims to enhance the visual environment and sensory quality of urban landscapes by establishing standards for the visual comfort of urban natural landscapes. Using line-of-sight and multi-factor analysis algorithms, the method assesses spatial visibility and visual exposure of building clusters in the core urban areas of Harbin, identifying areas and viewpoints with high visual potential. Focusing on the viewpoints of landmark 3D models and the surrounding landscape’s visual environment, the study uses the city’s sky, greenery, and water features as key visual elements for evaluating the comfort of urban natural landscapes. By integrating GIS data, big data street-view photos, and image semantic recognition, spatial analysis algorithms extract both objective and subjective visual values at observation points, followed by mathematical modeling and quantitative analysis. The study explores the coupling relationship between objective physical visual values and subjective perceived visibility. The results show that 3D visual analysis effectively reveals the relationship between landmark buildings and surrounding landscapes, providing scientific support for urban planning and contributing to the development of a more distinctive and attractive urban space. 
651 4 |a China 
653 |a Spatial analysis 
653 |a Visual perception 
653 |a Urban environments 
653 |a Urban planning 
653 |a Big Data 
653 |a Algorithms 
653 |a Visual observation 
653 |a Discriminant analysis 
653 |a Topography 
653 |a Depth perception 
653 |a Comfort 
653 |a Line of sight 
653 |a Factor analysis 
653 |a Architecture 
653 |a Image processing 
653 |a Visual stimuli 
653 |a Dimensional analysis 
653 |a Urban areas 
653 |a Aesthetics 
653 |a Visual perception driven algorithms 
653 |a Vegetation 
653 |a Research methodology 
653 |a Remote sensing 
653 |a Sensory properties 
653 |a Three dimensional models 
653 |a Visibility 
653 |a Design 
653 |a Geographic information systems 
653 |a Mathematical models 
653 |a Cities 
700 1 |a Shen, Tao  |u School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, China; <email>zm000419@163.com</email> (M.Z.); <email>huoliang@bucea.edu.cn</email> (L.H.); <email>swf6661@outlook.com</email> (W.S.); <email>liyucai1211@163.com</email> (Y.L.) 
700 1 |a Huo, Liang  |u School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, China; <email>zm000419@163.com</email> (M.Z.); <email>huoliang@bucea.edu.cn</email> (L.H.); <email>swf6661@outlook.com</email> (W.S.); <email>liyucai1211@163.com</email> (Y.L.) 
700 1 |a Liao, Shunhua  |u Guangxi Zhuang Autonomous Region Institute of Cartography, Guangxi 530201, China 
700 1 |a Shen, Wenfei  |u School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, China; <email>zm000419@163.com</email> (M.Z.); <email>huoliang@bucea.edu.cn</email> (L.H.); <email>swf6661@outlook.com</email> (W.S.); <email>liyucai1211@163.com</email> (Y.L.) 
700 1 |a Li, Yucai  |u School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, China; <email>zm000419@163.com</email> (M.Z.); <email>huoliang@bucea.edu.cn</email> (L.H.); <email>swf6661@outlook.com</email> (W.S.); <email>liyucai1211@163.com</email> (Y.L.) 
773 0 |t Buildings  |g vol. 15, no. 4 (2025), p. 628 
786 0 |d ProQuest  |t Engineering Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3170904858/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3170904858/fulltextwithgraphics/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3170904858/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch