Effects of Varieties of Trees and the Space Under A Tree on the Waiting of A Stay

• Main Authors: Yi-Chia Chuang, 莊逸嘉
• Other Authors: MING-YEH HSIEH
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/94638773995306444381

碩士 === 中原大學 === 建築研究所 === 105 === Abstract Due to the restrictions of time, space, and cost, many domestic researches on space and environment psychology have adopted "computer generated simulation images" to conduct experiments, even though "computer generated simulation images" have high simulation effect. However, as such imagesarestill plane images, its angle of view, spatial perception, and other aspects aresignificantly different from those of an "realscene”. Moreover, it issuspected that the subjects might receive ahintfrom the plane image. Therefore, the experiment of this study adoptsboth "scale model" and "real scene" to conduct a questionnaire survey in order to probe into the behavior of staying outdoors and open spaces, and compares the difference between the two methods. After summarizing and analyzing the data, this study finds that though it is more difficult for a "scale model" to simulate the materials and shadows of "real scene", the "scale model" still has the angle of view and spatial perception, which a "computer generated simulation image" does not have. Hence, there is a certain degree of credibility for the "scale model" to replace a "real scene". This experiment classifiestree species according to their shapes in order to select eight common tree species corresponding to their shapes, while other various factors, such as scene setting, material, and color, arenot included. This study only considersscale, gender of the subject, and spatial form as the experimental factors, and mixes and matcheseight tree species, according to the two scales ofbig and small, and eight spatial types to form a total of 48 spatial types under the trees. Scale models are constructedfor the questionnaire, and the results show that: 四、 The willingness to stay at the spatial type of a corner of a wall is the highest, followed by a wall (semi-closed), and the open spatial type. The willingness to stay at the spatial type of a corner of a wall (closed) is much higher than that of a wall (semi-closed) or the open spatial type, while that of a wall (semi-closed) is slightly higher than that of the open spatial type, which demonstrates an obvious border effect. 五、 Analysis of the willingness of groups, comparisonsofthe lower edge height of a tree, the width of the lower edge of a tree, and the width/height ratio of the lower edge of a tree reachesthe following conclusions: Regarding low willingness, the average height of the lower edge of a tree is 2.06m, the average width is 4.57m, and the width/height ratio is2.2m. Regardinghigh willingness, the average height of the lower edge of a tree is 2.65m, the average width is 7.19m, and the width/height ratio is2.85m. Based on willingness to stay and after classification, this study finds that, if the width of a tree is considered as a benchmark, the shape and height of a tree are in conflict with each other. It can be seen that the subjects mainly perceive the space under a tree, while the shape and height of the tree have no direct influence on them. 六、 Through analysis and comparison of data regarding willingness to stay, we can know that spatial type has the most significant influence on willingness to stay. Analysis finds that the height and shape of a tree are contradictory. However, as the results show that scale has a certain degree of influence on willingness to stay, the scale can be classified into the scale of a tree species and the scale under a tree. The latter has some influence, while the former has low or no influence on willingness to stay. Tree species in the shape of an umbrella has both the highest and the lowest willingness to stay, which shows that the shape of a tree has low or no influence on willingness to stay. To sum up, the order of influence of each factor on willingness to stay is: Spatial type ＞ scale (under a tree) ＞ tree shape. Keywords: scale model, tree, open space, stay behavior