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팬데믹 전후 항공기 기종에 따른 기재 활용 전략의 변화 : Random Forest와 SHAP 분석을 중심으로
Paradigm Shift in Aircraft Utilization Strategies by Aircraft Type Before and After the Pandemic : Focusing on Random Forest and SHAP Analysis

첫 페이지 보기
  • 발행기관
    한국정보기술응용학회 바로가기
  • 간행물
    JITAM 바로가기
  • 통권
    Vol.32 No.2 (2025.04)바로가기
  • 페이지
    pp.83-95
  • 저자
    송기한, 최솔샘
  • 언어
    한국어(KOR)
  • URL
    https://www.earticle.net/Article/A467875

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원문정보

초록

영어
This study investigates the changes in factors influencing aircraft utilization based on aircraft types during the pandemic period. The analysis categorizes the periods into three phases: pre-pandemic, during the pandemic, and post-pandemic, while the aircraft types are classified into two groups (C-class and E-class or higher). Utilizing SHAP and Random Forest methodologies, the study analyzes the importance of various factors for each group and examines the significance of differences in importance across the specified periods and aircraft types through group difference testing. The findings reveal that for C-class aircraft, the importance of the USD/KRW exchange rate and the lagging composite index was notably high before the pandemic. However, during the pandemic, there was a substantial surge in the significance of the JPY/KRW exchange rate, and post-pandemic, the importance of economic indicators increased. E-class or higher aircraft exhibited a similar trend, with a significant rise in the importance of the CNY/KRW exchange rate observed after the pandemic. The Kruskal-Wallis test confirmed that most average changes among the groups were not statistically significant, except for the C-class aircraft in the Random Forest analysis. This indicates that there were no substantial changes in the underlying factors between the pre-pandemic and post-pandemic periods, suggesting that the impact of the pandemic on airline fleet utilization extends beyond short-term changes. Furthermore, the findings highlight the need for airlines to enhance their sensitivity to external environments and develop utilization strategies in volatile markets. Additionally, there is a possibility that long-term dependency on network strategies may become more pronounced than reliance on external factors like the pandemic. By providing an in-depth analysis of the pandemic's impact on aircraft utilization, this study contributes to the formulation of effective utilization strategies for airlines navigating an uncertain economic environment.

목차

Abstract
1. 서론
2. 이론적 배경
2.1 팬데믹 이후 항공산업 전망 및 대응
2.2 항공사 기재활용 관련 전략 분석
2.3 그룹화 요인 분석 방법론
2.5 집단 간 비교 검정
3. 연구 설계
3.1 연구의 접근 방법론
3.2 자료와 변수의 정의
3.3 개별 방법론
4. 연구결과
4.1 기초분석 결과
4.2 그룹별 요인분석
4.3 집단 간 비교 검정
5. 결론
References
<부록>

키워드

Aircraft Fleet Strategy SHAP Random Forest Group-Difference Test Factor Analysis

저자

  • 송기한 [ Kihan Song | Professor, Department of Civil Engineering, Seoul National University of Science and Technology ] First Author
  • 최솔샘 [ Solsaem Choi | Department of Civil Engineering, Seoul National University of Science and Technology ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국정보기술응용학회 [The Korea Society of Information Technology Applications]
  • 설립연도
    1999
  • 분야
    사회과학>경영학
  • 소개
    본 학회는 정보기술 관련 분야의 연구 및 교류를 촉진하여 국가 및 기업정보화 발전에 공헌함을 그 목적으로 한다.

간행물

  • 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

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