Earticle

초록

영어

This study proposes a data-driven model for optimizing the location of Chinese restaurants, a critical determinant of success in the highly competitive food service industry. Using public data provided by the Korean government—including resident registration statistics and restaurant business records—the analysis quantifies the saturation of Chinese restaurants across administrative districts in South Korea. Two indices are defined: the Saturation Index (number of Chinese restaurants per 10,000 residents) and the Competitiveness Index (proportion of Chinese restaurants among all food service businesses). Data preprocessing and analysis were conducted in Python, with visualization facilitated by Pandas, Matplotlib, and Seaborn. The results reveal regional disparities: for example, Gwacheon and Sejong exhibited low saturation levels, indicating substantial market potential, while districts such as Gangnam in Seoul and Haeundae in Busan were oversaturated. The findings demonstrate the practical utility of public data in entrepreneurial decision-making and present a reproducible analytical framework that can be extended to other restaurant types or industries. This approach advances location selection from intuition-driven to evidence-based, quantitative analysis.

목차

Abstract
1. 서론
2. 관련 연구 및 기술 동향
2.1 외식업 창업과 입지의 중요성
2.2 공공데이터 개념 및 활용 가능성
2.3 중식당 시장 특성 및 분석 필요성
2.4 관련 선행연구 고찰
2.5 공공데이터 기반 빅데이터 분석의 활용
3. 데이터 구성 및 분석 방법
3.1 데이터 수집 및 처리
3.2 분석 지표 정의
3.3 시각화 및 분석 도구
3.4 지역별 비교 분석
4. 실험 결과 및 분석
4.1 인구 대비 중식당 포화도 분석
4.2 입지 타당성 평가
4.3 중식당 수와 인구수 간 상관관계
4.4 결과 해석 및 입지 추천 사례
5. 결론 및 향후 과제
5.1 연구 의의 및 한계
5.2 향후 연구 방향
References

키워드

저자

• 김봉현 [ Bonghyun Kim | 서원대학교 컴퓨터공학과 교수 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  프로젝트경영연구 [Project Management Review]

• 간기

  반년간

• eISSN

  2799-3434

• 수록기간

  2021~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 325 DDC 658