Quantitative study on color characteristics of urban park landscapes based on K-means clustering and SD. method

The landscape color of an urban park is the carrier of urban culture and the embodiment of urban style since it is an advanced form resulting from urban growth. It is expected to offer some theoretical references for the color design of urban parks to quantify the color features of urban parks in various seasons and the variations in people’s perceptions of parks. This study used People’s Park and Huanhuanxi Park in Chengdu as research objects. It used the K-means clustering algorithm to quantify the seasonal characteristics of spatial color changes of different landscape types, and it used the SD. method to examine how people perceived the landscape color in the two parks during various seasons. The findings indicate that N (no color) and G (green) are People’s Park’s and Huanhuaxi Park’s base colors. Architectural landscapes’ use of color exhibits a trend toward medium saturation and medium-high brightness. Low saturation and low brightness are characteristics of the color of the pavement landscape. The landscape color in the sketch demonstrates the traits of wide hue dispersion, consistent saturation distribution, and brightness distribution. Seasonal change considerably impacts plant color, according to the color analysis of the natural landscape. According to the SD. evaluation results, spring had the most excellent crowd perception score, followed by summer and winter. Autumn had the highest crowd perception score. The landscape color recommendation chromatography of two urban parks is then put forth in conjunction with quantitative data and population perception evaluation, offering some reference guidelines for creating urban parks.