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  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
 

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  • P-ISSN1738-3110
  • E-ISSN2093-7717
  • SCOPUS, ESCI

A Study on the Appropriate Size of Stores and Countermeasures in Decline Commercial Area in the Original Downtown

A Study on the Appropriate Size of Stores and Countermeasures in Decline Commercial Area in the Original Downtown

The Journal of Distribution Science(JDS) / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2021, v.19 no.11, pp.49-57
https://doi.org/https://doi.org/10.15722/jds.19.11.202111.49
Ryu, Tae-Chang (College of Health and Welfare, Major in Urban Planning., Woosong University)

Abstract

Purpose: In this study, we try to figure out the appropriate size of commercial districts in the original downtown area through empirical studies targeting the Jinju Central Commercial Area in Gyeongnam and Cheonan Station in Chungnam, which are trying to regenerate a specific space that has been lost through government projects. Research design, data and methodology: The current status and characteristics of the shopping district were examined through on-site surveys of the central business district of Jinju, Gyeongnam Province, and Cheonan Station, Chungnam Province, and the size of the empty stores was determined. In addition, the standard median income was used as the survey data along with the survey of the mobile population in the commercial area. Result: The analysis result shows that 883 stores should be maintained considering the overall expenditure and gross sales profit within Cheonan Station in South Chungcheong Province. Currently, considering spending and margins in the Commercial Area, Jinju Central Commercial Area is a place where 222 stores can be sold excessively, and a proper commercial supply plan is needed. Conclusions: In this study, we conducted a demand prediction study in the commercial sector of the most basic sector to regenerate the commercial sector through major regional commercial districts.

keywords
Empty Store, Original Downtown, Commercial Area

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The Journal of Distribution Science(JDS)