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Research Characteristics of Thermal Comfort of Urban Block Landscape Based on Knowledge Graph Analysis
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作者 FENG Shutong PENG Li +2 位作者 MA Minghao WANG Zhihao CONG Jing 《Journal of Landscape Research》 2024年第2期42-46,50,共6页
The landscape environment of urban blocks plays a significant role in improving the comfort of urban thermal environment and promoting green and high-quality development.The 342 papers related to the research on the i... The landscape environment of urban blocks plays a significant role in improving the comfort of urban thermal environment and promoting green and high-quality development.The 342 papers related to the research on the impact of urban block landscape environment on thermal comfort in China,collected by CNKI(China National Knowledge Infrastructure)from 2002 to 2022,are used as the research object.Through bibliometric statistical analysis,LLR algorithm,and cluster analysis,the current research status of the impact of urban block landscape environment on thermal comfort in China is analyzed and processed,and its external characteristics are identified.Using the information visualization software CiteSpace,the research topics in the field of the impact of urban block landscape environment on thermal comfort are presented in the form of knowledge graphs.Through co-occurrence analysis of keywords and trend of word frequency changes,the development trends of research hotspots and cutting-edge fields of the impact of urban block landscape environment on thermal comfort are determined,hoping to provide reference for future research in this field. 展开更多
关键词 urban block landscape environment Thermal comfort CiteSpace visualization analysis Research hotspots Research frontiers
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From blocks to cities:Morphology structure rooted in 3D patterns and forming clusters at the block level
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作者 Bing Qu Jie Ma 《Frontiers of Architectural Research》 CSCD 2023年第6期1127-1143,共17页
This article proposes a 35D form index system to quantitatively describe the 3D form of urban blocks.Utilizing the T-distributed stochastic neighbor(TSNE)embedding algorithm for cluster analysis,the visually complex a... This article proposes a 35D form index system to quantitatively describe the 3D form of urban blocks.Utilizing the T-distributed stochastic neighbor(TSNE)embedding algorithm for cluster analysis,the visually complex and disordered urban 3D texture is translated into distinct form clusters,enabling the recognition of the overall urban form structure from the block perspective.The research methodology includes experiments conducted in the central area of Nanjing and comparative analysis in three neighboring cities:Shanghai,Hangzhou,and Suzhou.Results demonstrate the efficacy of form parameters and cluster analysis in achieving sound recognition.The four cities differ remarkably in the number and distribution structure of clusters.Shanghai has the fewest types of clusters with a compact distribution,Suzhou has the most types with a dispersed distribution,and Hangzhou and Nanjing exhibit similar characteristics,located between Shanghai and Suzhou.Correlation analysis reveals a negative relationship between the number of cluster types and the level of urban socioeconomic development in similar areas.This research implies that governments and urban planners can exploit neighborhood morphological types to devise customized spatial management and renewal strategies.The overall urban structure can be improved by strategically minimizing the quantity and distribution of neighborhood morphological types,fostering socioeconomic development. 展开更多
关键词 urban morphology urban block Form cluster Classification urban design
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