1. 浙江理工大学 艺术与设计学院,杭州,310018
2. 哈尔滨工业大学 建筑学院,[KH-*8/9]哈尔滨,150001
3. 伦敦大学学院,巴特莱特建筑学院,伦敦,英国,WC1H 0NN
纸质出版:2018
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刘杨, 康健. 雾霾天气下城市建筑色彩属性的视觉舒适度分析[J]. 哈尔滨工业大学学报, 2018,50(4):2018-4.
LIU Yang, KANG Jian. Research on visual comfortable level of urban building color attributes in haze weather[J]. 2018, 50(4): 2018-4.
刘杨, 康健. 雾霾天气下城市建筑色彩属性的视觉舒适度分析[J]. 哈尔滨工业大学学报, 2018,50(4):2018-4. DOI: 10.11918/j.issn.0367-6234.201710019.
LIU Yang, KANG Jian. Research on visual comfortable level of urban building color attributes in haze weather[J]. 2018, 50(4): 2018-4. DOI: 10.11918/j.issn.0367-6234.201710019.
为明确雾霾天气下城市建筑色彩三属性与视觉识别舒适度之间的量化关系,进而明确雾霾天气下城市建筑色彩三属性的可舒适识别阈值,为建筑师选取能够同时满足常规和非常规天气条件下有效识别、并且识别舒适度高的建筑色彩提供量化指标.同时,也为非常规天气下城市色彩舒适度评价提供可借鉴的研究方法.首先,对北方雾霾比较典型的城市哈尔滨的建筑色彩三属性进行实地、定点的测量,被测量的建筑类型为占哈尔滨建筑比例最大的商业建筑和住宅建筑,并确定雾霾指数的研究范围;然后,通过正交法设计实验,确定120个色彩样本数量,选取30个被试者运用里克特量表对样本进行建筑色彩属性的舒适度心理测评;最后,运用R语言统计分析样本的色彩三属性,即色相、纯度、明度在雾霾天气下识别舒适度的分布区域和阈值变化.结果表明:雾霾天气下城市建筑色彩的三属性阈值对视觉舒适度都具有直接的影响,其中明度对舒适度的影响最大,纯度次之,色相的影响最弱;同时,暖色的整体色彩属性对雾霾的抵抗性好,比冷色更易于识别.
This article clarified the quantitative relationship between the three attributes of urban building colors and the comfort of visual recognition under the haze weather to clarify the comfortably recognition threshold values of three color-appearance attributes of urban building in the hazy weather. The quantitative index could be provided to designers to choose architectural colors that effectively identify building color in both normal and abnormal weather conditions
while offering referential research methods for urban environmental color planning and evaluation in the abnormal weather. Firstly
the research experiments are based on the practical and fixed-point measurement of the three color-appearance attributes of building colors in Harbin
one of the most heavily polluted cities. The types of selected buildings are commercial and residential buildings
which make up the largest proportion of buildings in Harbin
and the research scope of haze index will be determined through experiment. Secondly
126 color samples in total that selected by orthogonal method were evaluated on 30 subjects based on Likert scale in the laboratory. Finally
by using R language Statistics analysis
the distribution region and the changing threshold value of color attributes including hue
chroma and value could be related to the visual comfortable level of subjects. The results indicated that the values of the three color-appearance attributes of buildings could all directly affect the visual comfort level. Among those three attributes
value has the greatest influence
followed by chroma
and finally hue. Further the warm colors were more comfortable than cool color in the haze weather.
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