• Journal of Fashion Business
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• v.14 no.3
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• pp.75-89
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• 2010

The purpose of this study is to provide information how to locate a apparel store based on target age, merchandise's type and price. Three trade areas in Seoul are chosen: Myeong-dong which is the biggest trade area in Korea; Kangnam station one of representative Kangnam trade areas; and Myeongil-Dong a neighborhood trade area. This study is mainly performed by analysing the locations of the stores in the given areas. The result shows that the main apparel stores in Myeong-dong are casual wear stores for young people with the range of mid-high price. The stores in Kangnam station trade area also sell the casual wear for young people but they are mostly mid-low priced. In the trade area of Myeongil-dong, however, there are various kinds of mid-priced apparel stores for residents of all ages. Apparel stores for formal wear, casual wear, and formal-casual wear tend to be located side by side. But other kinds do not. These results show that affinity is found in some types of apparel stores by the analysis of the next-door apparel stores.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.2
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• pp.183-193
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• 2006

The purpose of this study is to examine differences in college students' spatial behavior and time for purchasing (weekdays or weekends) according to trading areas they use to purchase casual wears and formal wears. An empirical research developed a questionnaire as a measuring tool to conduct a main survey. McNemar test were carried out by using the SPSS to test statistical differences in spatial buying behaviors between weekdays and weekends. ArcGIS 9.1 and ArcView GIS 3.2a program were applied to visualize the results adopting a spider display technique to understand students clothing buying behaviors. This study obtained the result of that there were differences in college students' selecting a trading area according to the time for purchasing(weekdays or weekends) clothing wears. This study implies that understanding individual clothing spatial behaviors help to set up the strategy of trade area as well as store for marketers related to the fashion industry.