The purpose of the present study is to build a green network applying graph theory in order to improve the qualitative aspect of the urban environment by indicating the various issues resulting from the decrease of green space due to ...
The purpose of the present study is to build a green network applying graph theory in order to improve the qualitative aspect of the urban environment by indicating the various issues resulting from the decrease of green space due to urban development. Therefore, the study, by using graph theory based on network theory targeting Seo-gu in Daegu, attempts to propose linkage assessment and possibility from user perspective and a plan that increases the possibility of linkage between green space by applying the results of the assessment method to the targeted area. The main results of the study are summarized as follows. 1. Classification of the green area types of the total area of Seo-gu in Daegu, amounting to 17,353,160㎡, showed eight types and a total of 29 green spaces. 2. The graph scheme revealed 378 links formed between all nodes and 79 links within 1000m. However, because all links are not valid in connecting green space, the graph underwent two filtering processes, and a planar graph which was able to remove invalid links was applied. As a result, 22 links were removed and the amount of links was reduced to 51. 3. Order analysis revealed Kyungwoon Park(B7) and Pyeongsa Park(B12) as having 7 links and the highest linkage to surrounding nodes. 4. Assessment on linkage between nodes revealed the highest linkage of 0.9357 for Bisan Park(B7) and Dongari Park(D1), and the lowest linkage of 0.5733 for Seobu Park no. 12(B1) and Dalseocheon(H1). 5. The aggregate evaluation selected the five green spaces of Pyeongrijae-1-sports park(c1), Gamsammot Pa가(C2), Yihyeon Park(C3), Waryongsan(F1), and Sangri Park(C4) as base green spaces, and and examination of land-use patterns according to each section revealed that apartment complexes, general housing, and schools took up the most area, with the green network improvement plan established centering on these areas. The study placed its center on weight not on area in regards to creating a green network, and assessed linkage by restricting distance to 1,000m. In the future, studies that consider both the various aspects of green space type and expansibility as well as linkage assessment following various distances between green space are necessary. In particular, because the green network improvement plan proposed by the study was restricted to a single case area, future studies need to propose a direction with an aspect of a more detailed green space design that considers local characteristics and reflects objective contents of analysis. Therefore, assessment and analysis of linkage between green space by means of continued research on graph theory will make it capable to establish a framework of building a more accurate and adequate green network.
The purpose of the present study is to build a green network applying graph theory in order to improve the qualitative aspect of the urban environment by indicating the various issues resulting from the decrease of green space due to urban development. Therefore, the study, by using graph theory based on network theory targeting Seo-gu in Daegu, attempts to propose linkage assessment and possibility from user perspective and a plan that increases the possibility of linkage between green space by applying the results of the assessment method to the targeted area. The main results of the study are summarized as follows. 1. Classification of the green area types of the total area of Seo-gu in Daegu, amounting to 17,353,160㎡, showed eight types and a total of 29 green spaces. 2. The graph scheme revealed 378 links formed between all nodes and 79 links within 1000m. However, because all links are not valid in connecting green space, the graph underwent two filtering processes, and a planar graph which was able to remove invalid links was applied. As a result, 22 links were removed and the amount of links was reduced to 51. 3. Order analysis revealed Kyungwoon Park(B7) and Pyeongsa Park(B12) as having 7 links and the highest linkage to surrounding nodes. 4. Assessment on linkage between nodes revealed the highest linkage of 0.9357 for Bisan Park(B7) and Dongari Park(D1), and the lowest linkage of 0.5733 for Seobu Park no. 12(B1) and Dalseocheon(H1). 5. The aggregate evaluation selected the five green spaces of Pyeongrijae-1-sports park(c1), Gamsammot Pa가(C2), Yihyeon Park(C3), Waryongsan(F1), and Sangri Park(C4) as base green spaces, and and examination of land-use patterns according to each section revealed that apartment complexes, general housing, and schools took up the most area, with the green network improvement plan established centering on these areas. The study placed its center on weight not on area in regards to creating a green network, and assessed linkage by restricting distance to 1,000m. In the future, studies that consider both the various aspects of green space type and expansibility as well as linkage assessment following various distances between green space are necessary. In particular, because the green network improvement plan proposed by the study was restricted to a single case area, future studies need to propose a direction with an aspect of a more detailed green space design that considers local characteristics and reflects objective contents of analysis. Therefore, assessment and analysis of linkage between green space by means of continued research on graph theory will make it capable to establish a framework of building a more accurate and adequate green network.
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