상업시설의 혼합도가 규모별 소비중심지에 미치는 영향에 관한 연구 : 토빗모형의 적용Study on the Impact of Mixed-Use Commercial Facilities on Consumer Centers by Scale : An Application of the Tobit Model
- Other Titles
- Study on the Impact of Mixed-Use Commercial Facilities on Consumer Centers by Scale : An Application of the Tobit Model
- Authors
- 김설희; 김흥순
- Issue Date
- Oct-2024
- Publisher
- 대한국토·도시계획학회
- Keywords
- 상업시설 혼합도; 소비중심지; 커널밀도분석; 토빗모형; Commercial Facility Mix; Consumption Center; Kernel Density Analysis; Tobit Model
- Citation
- 국토계획, v.59, no.5, pp 23 - 38
- Pages
- 16
- Indexed
- KCI
- Journal Title
- 국토계획
- Volume
- 59
- Number
- 5
- Start Page
- 23
- End Page
- 38
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/210528
- DOI
- 10.17208/jkpa.2024.10.59.5.23
- ISSN
- 1226-7147
2383-9171
- Abstract
- 본 연구는 상업시설의 혼합도를 다룬 기존 선행연구들을 검토하였다. 본 연구에서는 세부 상업업종별 상점 수의 효과와 더불어 상업시설 유형의 혼합효과가 소비에 미치는 관계를 분석하고자 한다. 또한 소비중심지의 개념을 정립하고 상업시설의 혼합도 지표를 개발함으로써 소비중심지와 상업시설의 혼합도 간의 영향 관계를 살펴보고자 한다. 이 과정에서 소비중심지의 정량적 분석 틀을 도출하고, 소비 규모에 따른 상업 혼합도 간의 영향 관계도 함께 살펴보고자 한다.
In order to create vibrant streets, it is desirable for various land uses to be mixed rather than having single-purpose zoning. Commercial facilities are considered the most important factor influencing the increase in local pedestrian traffic, vitality, and diversity in the pertinent area. Therefore, diverse types of commercial facilities are needed, and it can be inferred that the higher the diversity of commercial facilities, the more it contributes to activating consumption. This study analyzes the impact of the mix of commercial facilities on the consumption center index using the Tobit model with card transaction data provided by the Seoul Metropolitan Government. The study set 2021 as the temporal scope and focused spatially on the 424 administrative districts of Seoul. The consumption center index, calculated through kernel density analysis, was divided into three ranges: high, medium, and low values utilized as the dependent variables. Factors reflecting both commercial and urban characteristics were used as independent variables. The Tobit model was employed for the analysis, with administrative districts set as the analysis unit. The analysis revealed that the types of industries influencing each value differed significantly. In areas with high values, the concentration of similar industries was found to have a positive impact on consumption activation rather than the integration of diverse industries. It was also revealed that the concentration of industries is necessary to increase consumption activities. These findings are expected to provide insights for the efficient management of commercial facility location policies tailored to the characteristics of each region in the consumer market.
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