서울시 홍대 주변 상권의 공간적 변화에 관한 연구 = Spatial Change of Commercial Area around Hongdae in Seoul

다국어 초록 (Multilingual Abstract)

1. CONTENTS (1) RESEARCH OBJECTIVES Recently, the spatial structure of commercial areas is rapidly changing. This phenomenon is of increasing interest as it relates to commercial gentrification. However, most of the previous studies that analyzed changes in commercial areas targeted a single time period or analyzed changes within a single commercial area. There are insufficient studies to detect spatial expansion of commercial districts and analyze their characteristics. Therefore, the purpose of this study is to analyze the spatial change of the commercial area around Hongdae, Seoul.
(2) RESEARCH METHOD In this study, 38 commercial areas located around Hongdae were set as the spatial range and 2000-2019 was set as the temporal range. And opening and closing data of stores located within the spatial range were used as data for the study. As an analysis method, the center point, standard deviation distance, and standard deviation ellipse model that can confirm the spatial movement of commercial areas were used.
(3) RESEARCH FINDINGS The research findings of this study are as follows. First, the movement patterns of the commercial areas around Hongdae differ depending on the store type. The expansion of the Hongdae area occurred mainly through cafes. Third, it is difficult to specify the direction of store opening and closing.
2. RESULTS The results of the study are summarized as follows. First, the change in the center point of store opening & closing that occurs in the commercial areas around Hongdae is divided into two patterns. This is a pattern that moves from Hongdae to Mangwon, Hapjeong, and Yeonnam-dong, and a pattern that shows no significant change near Hongdae. Second, the standard deviation distance of cafe opening increases, which means that the expansion of commercial areas near Hongdae is mainly through cafes. Third, it is difficult to confirm a clear change in the degree of deflection in the standard deviation elliptic model. Therefore, it is difficult to confirm the tendency of the opening and closing of stores in a specific direction.