Utilizing Fractal Dimensions as Indicators to Detect Elements of Visual Attraction: A Case Study of the Greenway along Lake Taihu, China

It is widely acknowledged that the quality of greenway landscape resources enhances visual appeal people. While most studies have evaluated perception and preference, few considered relationship between distribution greenways in relation to proximity water bodies such as lakes rivers. Such an investigation requires in-depth analysis how plan design order better enhance people’s willingness access utilize them. In this research we propose specific color brightness contour attraction elements further discuss rapidly urbanizing Lake Taihu region China. Specifically, a common method fractal theory called counting box dimension calculate analyze sample images. The generates data on (FD) values two elements; optimal threshold range; characteristics exhibited by maximum minimum landscape; allowing us derive bodies. results reveal segments with high element are significantly closer lake than those subject element. Some even close surface, which because glare from direct sunlight reflection surface superimposed each other, so near also affected shows result values. However, FD clearly more influenced plants other elements. This due rich self-similarity themselves. Most dominated distant surface. Both important indicators Greenway landscape. reveals determination sub-dimensional (1.7608, 1.9337) (1.7230, 1.9006) range can provide theoretical implications for planning lake-ring type practical assessing landscapes.