Earticle

초록

영어

Background/Objectives: This study was conducted to review and verify the effectiveness of the increase in express trains and train volume, which are currently being introduced step by step, through big data analysis, and to suggest additional new alternatives. Methods/Statistical analysis: Therefore, this study used papers and various statistical data to improve congestion on Seoul Subway Line 9 for service diagnosis and evaluation of the current Seoul Subway Line 9, and derived results through R, an open source. Findings: As a result of the analysis, direct trains connecting Gayang and Dangsan, residential areas, to Yeouido and Sinnonhyeon, business-intensive areas, are operated to minimize commuting congestion. Improvements/Applications: The results of this study are expected to be used as useful guidelines for planning not only subway lines 9 but also other subway lines.

목차

Abstract1
I. INTRODUCTION
II. QUESTIONNAIRE
III. HYPOTHESIS AND ANALYSIS RESULTS
IV. SOLUTION
V. CONCLUSION
REFERENCES

키워드

저자

• Yonghyun, Lee [ Business Administration, Sunmoon University, Asan 31460, South Korea ]
• Minhyuk, Kim [ Business Administration, Sunmoon University, Asan 31460, South Korea ]
• Jisoo, Kim [ Business Administration, Sunmoon University, Asan 31460, South Korea ]
• Nayeon, Choi [ Business Administration, Sunmoon University, Asan 31460, South Korea ]
• Seungsang, Yoon [ Business Administration, Sunmoon University, Asan 31460, South Korea ]
• Seongtaek, Park [ Strategy Planning Headquarters, KASOM, Seoul, 31035, South Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  IJEMR

• 간기

  계간

• pISSN

  2546-1583

• 수록기간

  2017~2022

• 십진분류

  KDC 327 DDC 332