Visual comfort is affected by urban colorscape tones in hazy weather

作     者：Yang Liu Jian Kang Ying Zhang Dehua Wang Linqing Mao 

作者机构：Art Academv Northeast Agricultural University Harbin 150030 China School of Architecture University of Sheffield Sheffield 5102TN UK School of Architecture. Harbin Institute of Technology Harbin 150001 China School of Resource and Environment Northeast Agricultural University Harbin 150030 China Harbin Institute of Technolo~v Shenzhen Graduate School Shenzhen 5180555 China School of Architecture Shijiazhuang Tiedao University Shijiazhuang 050043 China 

出 版 物：《Frontiers of Architectural Research》 (建筑学研究前沿（英文版）)

年 卷 期：2016年第5卷第4期

页      面：453-465页

核心收录：

学科分类：0303[法学-社会学] 1305[艺术学-设计学（可授艺术学、工学学位）] 0601[历史学-考古学] 0202[经济学-应用经济学] 08[工学] 0813[工学-建筑学] 0814[工学-土木工程] 0833[工学-城乡规划学] 

基　　金：China Scholarship Council, CSC, (201406615003) China Scholarship Council, CSC 

主　　题：Hazy weather Air pollution Urban colorscape Color tone Visual comfort 

摘      要：PeopLe＇s visual perception and recognition of urban coLorscape tones change significantly in hazy weather. A psychoLogicaL experiment is conducted in this study to investigate visual comfort related to commercial and residential buildings. Visual observations are performed on the tones of an urban coLorscape during hazy weather and air poLLution in Harbin, China. Fifty-eight color samples selected through an orthogonaL method are evaluated through a Ukert scale by 30 subjects in a Laboratory setting. Statistical analysis is performed with the maximal information coefficient and R Language. Experimental results show that the changing threshold values of color tones are related to the visual comfort LeveLs of the subjects. The influence of the three factors of color tones on visual comfort Level is reLativeLy independent, and the effects of value and chroma contrast on color comfort Level are greater than that of hue contrast in hazy weather. Furthermore, the comfort recognition threshold values of color tones in hazy weather are determined through data comparisons and analyses.