지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
When we aggregate small-sized regions into more a large region for regional planning, we should consider regional interactions as well as characteristics of each region. Cluster analysis was usually used to measure regional interaction based on the O-D matrix of trips on the premise that the more trips of inter-region the more interaction among the regions. Interaction is divided into direct interaction and indirect interaction. But we generally concentrate direct interaction
In measuring the interaction, we must consider not only direct interaction but also indirect interaction.
Data transformation and the method of similarity measurement is crucial in the cluster analysis.
The objective of this study were to evaluate the method of cluster analysis mostly used in the study of the interaction among regions, to propose a new concept of an indirect interaction, and to develop a method of calculating an indirect interaction.
The findings of this study were as follows; ① It is desirable to transform X of the O-D matrix into (X+X)'/2 for the convenience of calculation, and considering trips from the origin and to the destination concurrently. ② For the indirect interaction, the proper adjacency matrix should be. ③ In the cluster analysis, we usually employ the distance among the regions to make the O-D matrix, ④ When the total size of trips in each region was different, it is proper to use the ratio of trips of each direction to the total size since using the absolute size may cause the bias in clustering regions. ⑤ We should use the nation-wide data to analyze the indirect interaction since the effect of interaction cannot be fully measured when we use a part of the nation-wide data.
In measuring the interaction, we must consider not only direct interaction but also indirect interaction.
Data transformation and the method of similarity measurement is crucial in the cluster analysis.
The objective of this study were to evaluate the method of cluster analysis mostly used in the study of the interaction among regions, to propose a new concept of an indirect interaction, and to develop a method of calculating an indirect interaction.
The findings of this study were as follows; ① It is desirable to transform X of the O-D matrix into (X+X)'/2 for the convenience of calculation, and considering trips from the origin and to the destination concurrently. ② For the indirect interaction, the proper adjacency matrix should be. ③ In the cluster analysis, we usually employ the distance among the regions to make the O-D matrix, ④ When the total size of trips in each region was different, it is proper to use the ratio of trips of each direction to the total size since using the absolute size may cause the bias in clustering regions. ⑤ We should use the nation-wide data to analyze the indirect interaction since the effect of interaction cannot be fully measured when we use a part of the nation-wide data.
목차
ABSTRACT
Ⅰ. 序論
Ⅱ. 地域間 相互作用 分析
Ⅲ. 事例分析
Ⅳ. 要約 및 結論
註
參考文獻
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