Earticle

초록

영어

This study is to explore the airline network patterns of Incheon and Narita International Airports using passenger flight departure and arrival data of the two airports. The so-called Origin-Destination data is collected from the airports' websites and some of the important data items are flight number, city of origin, destination city, departure/arrival time, number of flights, and delay time. A snowflake schema dimensional model is proposed and implemented. Tableau Public, a well-known visual analytic tool, is used to connect the dimensional model and played an important role in navigating the data space to find interesting and visual patterns among corresponding airports and airlines. For the efficiency of analyzing this spacious data mart, data visualization method was used. Four types of visualization method proposed by Yau was used; visualizing patterns over time, visualizing proportions, visualizing relationships, and visualizing spatial relationships. The strength of connectivity of each flight segments is calculated to evaluate the degree of globalization of Seoul and Tokyo. We anticipate that various patterns and new findings produced by the data mart would provide airline managers, airport authorities, and policy makers in the field of travel and transportation with insightful information.

목차

Abstract
 1. 서론
  1.1 연구 배경
  1.2 연구 목적
 2. 문헌 연구
  2.1 항공네트워크와 세계도시에 관한 연구
  2.2 다차원 모델과 데이터 시각화 연구
 3. 항공네트워크 분석용 데이터마트 설계
  3.1 원시데이터 수집 및 요구사항 분석
  3.2 데이터 전처리 및 차원, 차원상하구조 생성
  3.3 시각화 분석용 다차원 모델 구축
 4. 분석 및 해석
  4.1 기본 운항정보
  4.2 상세 운항정보 분석
 5. 결론 및 향후 과제
  5.1 결론
  5.2 연구의 한계 및 향후 과제
 참고문헌

키워드

저자

• 백의영 [ Euiyoung Baik | 광운대학교 경영정보학과 대학원 석사과정 ]
• 조재희 [ Jaehee Cho | 광운대학교 경영학부 교수 ] 교신저자

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JITAM [Journal of Information Technology Applications and Management]

• 간기

  격월간

• pISSN

  1598-6284

• eISSN

  2508-1209

• 수록기간

  1999~2026

• 십진분류

  KDC 005 DDC 005