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Identifying the relationship between area characteristics by social class and bank branches distribution using GIS - A case study of Tokyo 23 Wards
Distribution characteristic of bank branches
Point data of branches of five major banks is made by address matching processing using existing branches list overlaid with the segmented map (Fig.2). Each cluster information of polygon is integrated to bank branch information using join function as ‘polygon to point’ to clear the relationship of area characteristics and branch distributions. Fig.2 shows the distributions of branches of five major banks by each group. There is a trend towards that a large number of all branches of five major banks located in Group 5, the noble class area. The next are Group 1(the aged & life style stability), Group 8(spending power), and Group 6(instability of life ) in the order named group. However, There are subtle differences of order by banks. Fig 3. gives the result of the graph, showing the relationship between area characteristic and distribution characteristics of bank branches.
5. Conclusions and Discussions
It is clear from the results of this study that the relevance between area characteristic by social class and distribution characteristics of existing branches of five major banks in Tokyo 23 wards. A lot of branches of five major banks are located in Group5 (high class). And, although the order is different, most of branches in five major banks are located in Group1 (the elderly & life style stability), Group8 (spending power), and Group6(instability of life ).
The result also shows that the five major banks in Tokyo 23 wards have a about the same branch location tendency. Therefore, it can be inferred that there are active competitions in Tokyo 23 wards.
Overall, the methodology used in this study using GIS is regarded as a process that is necessary for identifying the relevance of market characteristics and bank branch location for making efficient bank branch marketing strategies; however, the second stage of this study may have some problems of overlay analysis to get an more accurate result. In other words, verification of the results of buffer analysis such as Fig.4 as well as using join function in overlay analysis better than one way or the other in more precise terms. Further work will reveal whether this is the case or not.
6. References
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