Exploring spatial distribution of retail stores in South Korea

In location decisions, retailers generally choose to cluster stores to capture more customers. This study examines the spatial distribution of retail stores in South Korea, and provides empirical guidelines for practitioners in urban planning and property management. Three areas representing urban, semi-urban, and rural regions were chosen for the study and analyzed using the L-function and variogram analysis, which are standard evaluation tools for geographical clustering. Stores such as private academies were found to be located close to each other at the shortest distance, followed by real-estate offices and sports equipment stores. The L-function analysis showed that stores were clustered within a distance of up to 2 km in Seoul, 6 km in Gyeonggi province, and 10 km in Gangwon province. In addition, the identified scales correspond approximately to the spatial dependence ranges of land prices. These results are expected to be utilized to design commercial zones in urban planning and delineate cluster boundaries.

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Publication Details

Journal
Bulletin of Geography Socio-economic series
Published
2024-11-22
DOI
https://doi.org/10.12775/bgeo-2024-0032
Primary Topic
Consumer Retail Behavior Studies
Type
article
Field-Weighted Citation Impact
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article

Exploring spatial distribution of retail stores in South Korea

Changro Lee
Bulletin of Geography Socio-economic series
Consumer Retail Behavior Studies
article

Exploring spatial distribution of retail stores in South Korea

Changro Lee
article en

Abstract

In location decisions, retailers generally choose to cluster stores to capture more customers. This study examines the spatial distribution of retail stores in South Korea, and provides empirical guidelines for practitioners in urban planning and property management. Three areas representing urban, semi-urban, and rural regions were chosen for the study and analyzed using the L-function and variogram analysis, which are standard evaluation tools for geographical clustering. Stores such as private academies were found to be located close to each other at the shortest distance, followed by real-estate offices and sports equipment stores. The L-function analysis showed that stores were clustered within a distance of up to 2 km in Seoul, 6 km in Gyeonggi province, and 10 km in Gangwon province. In addition, the identified scales correspond approximately to the spatial dependence ranges of land prices. These results are expected to be utilized to design commercial zones in urban planning and delineate cluster boundaries.

Bulletin of Geography Socio-economic series(66)
Kangwon National University (KR)
Sustainable cities and communities
Openalex Percentile: Top 70%
Consumer Retail Behavior Studies
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