Research on color harmony of building façades

Plant color landscape plays an important role in improving the quality of visual landscapes, regulating the emotion of landscape space, and highlighting the characteristics of urban landscapes. How to reasonably quantify and create rich plant color landscapes to achieve the best visual perception of the plant color landscape at different visual scales, so as to better meet the aesthetic needs of the public, has become a hot and difficult issue in the plant color design and application. Therefore, this article selects four typical urban parks in Nanjing to study the color characteristics of plant communities. The natural color system color card is used to extract plant color data. The color harmony and suitability degree of the plant community and external environment are quantitatively evaluated according to the Moon‐Spencer (M‐S) color harmony theory. The correlation between the chromaticity difference, color harmony, and color suitability of the plant landscape color is strong, whereas that between the chromaticity difference and lightness difference of the plant landscape color is weak. Among the four urban parks, the color harmony is the highest, and the appropriate color is the lowest in Xuanwu Lake Park. In addition, among the 12 selected plant community landscapes, the plant community number A3 in Xuanwu Lake Park has the highest color harmony and D3 in Gulin Park has the lowest color harmony. In short, the quantitative study of the plant community landscape color can provide new ideas for improving the optimal allocation of the plant community landscape color in urban parks.

Section: Discussionmentioning

confidence: 99%

Quantitative study on landscape colors of plant communities in urban parks based on natural color system and M‐S theory in Nanjing, China

Shen

Yao

2021

“…It is forbidden to use excessively gorgeous colours with high brightness, and the use of colours with low lightness must be moderately controlled. By protecting the excellent colours in the current situation and banning overly gorgeous ones, the purpose of continuing the region's main colour is achieved 54 . (b) To cultivate each district's attributes .…”

Section: Research Objects and Methodsmentioning

confidence: 99%

Architectural colour planning strategy and planning implementation evaluation of historical and cultural cities based on different urban zones in Xuzhou (China)

Hong

2021

This research examined the colour planning of the city of Xuzhou in Jiangsu Province, China to empirically study the colour planning of historical and cultural cities. Based on considerable investigations, we identified Xuzhou's main hue, which spans from yellowish grayish‐white to yellowish‐gray (XZ11 ~ XZ29). Moreover, we formulated special colour planning schemes according to the attributes of different urban zones. To verify a plan's implementation impact, we used the analytical hierarchy process to construct an evaluation index system for the execution of urban colour planning. The system includes five secondary and 14 tertiary indicators. We employed the Delphi method to evaluate the established index system and to ascertain the weight of each index. Fuzzy comprehensive evaluation method was also used. We assessed the implementation of Xuzhou's main colours in six zones. The results suggest that the impact of colour planning is quite different in various urban zones, and that the colour planning influence of historical blocks is better than that of other urban zones. However, the coordination between colour planning in some areas is not adequate. Based on the above analysis, we evaluate specific problems in the implementation effect of Xuzhou's urban colour planning, as reflected in the secondary evaluation index results, and discuss measures of urban colour harmony planning and design in Xuzhou. We propose a comprehensive planning strategy that can be combined with different scales of urban colour landscapes in the future, which could provide a new optimization direction for Xuzhou's urban colour planning.

“…Cubukcu et al used the image technology and semantic differential scale for the emotional scores of the interviewees by changing the color (hue, saturation, brightness) of hotel façade, and consequently gained insight into the color preference for the façade and the difference in attributes between interviewees 17 . Taking an urban renewal building project as the research object, Li asked 34 interviewees to score the color harmony of the building façade simulation pictures, and concluded that the color harmony score was higher when the lightness of the main color was higher and the lightness of the main and auxiliary colors was significantly different 18 …”

Section: Related Workmentioning

confidence: 99%

Color preference and contributing factors of urban architecture based on the selection of color samples—Case study: Shanghai

Gou

Shi

Wang

et al. 2021

The research on citizens' color preference is an important prerequisite for the scientific formulation of urban color planning. Color preferences are normally identified over the Internet or through questionnaire surveys and adjective descriptions. But the analysis has its limitations due to the uncertainty of color descriptions. Based on the quantitative analysis of the three attributes of hue, blackness, and chromaticness, this article obtains the inherent law of color preference of citizens, and compares it with the results of color adjective preference done by our research group before, which can supplement the accuracy of adjective description, so as to provide a reference for the color positioning of urban color planning. This article obtains the three attributes of color samples chosen by the public in the form of questionnaires as well as color sample selections. Among which 36 representative sites in Shanghai were selected according to the six types of land use. Adopting a more detailed method of dividing nine color series, viz. yellow (Y), red‐yellow (YR), red (R), red‐blue (RB), blue (B), blue‐green (BG), green (G), green‐yellow (GY), and the neutrals (WS). Moreover, chi‐square test and multiple logistic regression model were used to analyze the color preference factors and explore the relationship between citizen attributes and the three attributes of color sample selection. Research findings are as follows: (a) The citizens' favorite colors of urban architecture center round red, high whiteness, and mid‐low chromaticness. (b) The main factors that influence citizens' hue preference include gender, age, and monthly income; the main factors that influence citizens' blackness preference include: questionnaire distribution points, the frequency of coming to Shanghai, and whether to go abroad; gender and age are the main factors that affect citizens' chromaticness preference. (c) Compared with the previous studies on adjective selection among citizens, it is found that the effect of gender, age, monthly income, and educational background on color preference is similar; differences are in the occupational types, frequency of coming to Shanghai, and whether travels abroad.