Assessment of Visual Impact of Building’s Color and Location on Landscape

• Main Authors: Chih-Chieh Wang, 王稚絜
• Other Authors: Yann-Jou Lin
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/58743788371772507785

碩士 === 國立臺灣大學 === 園藝暨景觀學系 === 102 === Human activities often cause an irreversible impact on the visual landscape; therefore, visual impact assessment has become an increasingly important concern. This assessment process usually concerns the influence of factors such as the object’s form, size, color and location in regard to the visual impact. However in reality, the object’s form and size are decided and cannot be easily modified. Since location is a restriction as well, we can only adjust the color of the object and the environment’s color to reduce the visual impact. The aim of this study is to investigate the visual impact of different colors, as well as to compare different locations of a building on visual impact. This study used the obviousness level for the visual impact measurement. However, obviousness cannot be viewed as equivalent to preference; thus, this study enquired regarding the subject’s preference level. Furthermore, this study used eye tracking to obtain a more objective perspective of visual impact, and compared the results between eye tracking data and the questionnaire results. This study is separated into two parts, the first part used the software PHOTOSHOP for simulating the study photos, and then calculated the contrast between the building and the background. The study calculated contrast by using an absolute color difference formula, a lightness formula, a chrome formula and a hue formula as the color contrast variables. The study then asked subjects to provide quantities of photograph obviousness and preference on a seven point Likert scale. A total of 100 valid questionnaires were collected. The second part used the results of the first part, and selected 20 photos with large differences for the eye tracking experiment and the questionnaire. The results of the first part showed that different building locations have different influences on the subjects’ subjective degree of obviousness. Color contrast and obviousness are positively correlated. On the relationship between color contrast and preference for different locations different results were derived. In general, absolute color contrast and lightness contrast have an inverted U curve relationship to preference. Chrome contrast and hue contrast are negatively correlated with preference. In the second part of the study, the results showed that higher building fixation counts have higher obviousness. However, we found no relationship between fixation counts and preference. Through this result, we discovered that different building locations have different relationships with color contrast and visual impact. By using the study results, we can establish the visual impact predicting model and contribute it to future landscape planning.