| Title |
Analysis of Urban Environmental-color Preference by Pedestrian Characteristics |
| Authors |
Joo Young-Jung ; Kim Hong-Kyu ; Jung Chul-Oh |
| Keywords |
Urban Landscape ; Environmental Color ; Logistic ; Regression ; Pedestrian Characteristic |
| Abstract |
City is the place where many people gather and participate in diverse activities. There are so many urban sources which causes dramatic changes in the urban context. The object of this study is to analyze color scheme of city streets, to propose models for analyzing objective standards for color satisfaction preference of pedestrians by applying scientific and logical method.
As a result of correlation analysis, which shows the relationship between satisfaction and color variables, black, white, red, blue, yellow, green, the green has relatively lower relationship at a significance level. Also, the result of ANOVA and Duncan proving the difference between the age group and income group, shows that there was a considerable difference. Again, the Cluster analysis with Age & Income group shows a significant correlation each other among three clusters. Logistic Regression was performed by means of the model learned from cluster analysis. The result of logistic regression shows that black has a positive effect on preference, the blue has the negative, and other color factors are not significant on the teens
Through analysing the national land law of planning and using, it is proved that the part of landscape color is unpractical. As color controlling on landscape has prominent and important effect on streets character, improvement of the land law is urgently needed. |