A Study on Developing Airport Risk Assessment Algorithm by FOQA Data Analysis and SMS

@article{ART002663643},
author={ 김현수 and 김우진 },
title={A Study on Developing Airport Risk Assessment Algorithm by FOQA Data Analysis and SMS},
journal={한국지식정보기술학회 논문지},
issn={1975-7700},
year={2020},
volume={15},
number={6},
pages={933-941},
doi={10.34163/jkits.2020.15.6.002},
url={http://dx.doi.org/10.34163/jkits.2020.15.6.002}

TY - JOUR
AU - 김현수
AU - 김우진
TI - A Study on Developing Airport Risk Assessment Algorithm by FOQA Data Analysis and SMS
T2 - 한국지식정보기술학회 논문지
PY - 2020
VL - 15
IS - 6
PB - 한국지식정보기술학회
SP - 933-941
SN - 1975-7700
AB - According to various researches, one of main causes of flight accidents is human factors. It is important to collect and analyze event data in advance to minimize and prevent human errors by developing safety checklist. As a result, international aviation industry developed FOQA(Flight Operations Quality Assurance) for commercial airliners, and, upon its proven effectiveness, it is now highly recommended to adopt for all operations of aircraft. Therefore, this thesis studied fundamental Airport Risk factors identification Algorithm based on ICAO(International Civil Aviation Organization), SMS(Safety Management Systems) and Matrix. Airport Risk factors identification algorithm has been applied for methodology of this research and categorized by level of safety based on two factors: Probability and Severity. In addition, altitude, traffic volume, and actual Flight Operation history for various airports, runway, aircraft model with different time and weather condition were used as variable values. This study conducted regression analysis of ‘A’ organization’s flight event frequency and applied ICAO SMS Matrix to categorize the severity of the events according to international standards. Based on the analysis, derived from fundamental Airport Risk Identification Algorithm, which can be a proactive measure for safe operation. As a consequence, this study assessed the Airport safety level of each airport and drew a conclusion with countermeasures based on the problem found.
KW - Flight data record, Flight operation quality assurance, International civil aviation organization, Safety management system, Airport risk identification algorithm
DO - 10.34163/jkits.2020.15.6.002
UR - http://dx.doi.org/10.34163/jkits.2020.15.6.002
ER -

김현수 and 김우진 (2020). A Study on Developing Airport Risk Assessment Algorithm by FOQA Data Analysis and SMS. 한국지식정보기술학회 논문지, 15( 6), 933- 941.

김현수 and 김우진 . 2020, “A Study on Developing Airport Risk Assessment Algorithm by FOQA Data Analysis and SMS”, 한국지식정보기술학회 논문지, vol. 15, no. 6, pp. 933-941. Available from: doi:10.34163/jkits.2020.15.6.002

김현수 김우진 et al. “A Study on Developing Airport Risk Assessment Algorithm by FOQA Data Analysis and SMS” 한국지식정보기술학회 논문지 15.6 pp. 933-941 (2020): 933.

김현수 , 김우진 . A Study on Developing Airport Risk Assessment Algorithm by FOQA Data Analysis and SMS 한국지식정보기술학회 논문지 [Internet]. 2020; 15( 6), : 933-941. Available from: doi:10.34163/jkits.2020.15.6.002

김현수 and 김우진 . “A Study on Developing Airport Risk Assessment Algorithm by FOQA Data Analysis and SMS” 한국지식정보기술학회 논문지 15, no.6 (2020): 933-941. doi: 10.34163/jkits.2020.15.6.002

홈 권호 목록 논문 목록 논문 상세

A Study on Developing Airport Risk Assessment Algorithm by FOQA Data Analysis and SMS

한국지식정보기술학회 논문지

약어 : 한국지식정보기술학회 논문지

2020, vol.15, no.6, pp.933 - 941

DOI : 10.34163/jkits.2020.15.6.002

발행기관 : 한국지식정보기술학회

연구분야 : 학제간연구

김현수¹ , 김우진²

¹초당대학교

²가톨릭관동대학교

인용한 논문 수 : - 서지 간략 보기

초록

According to various researches, one of main causes of flight accidents is human factors. It is important to collect and analyze event data in advance to minimize and prevent human errors by developing safety checklist. As a result, international aviation industry developed FOQA(Flight Operations Quality Assurance) for commercial airliners, and, upon its proven effectiveness, it is now highly recommended to adopt for all operations of aircraft. Therefore, this thesis studied fundamental Airport Risk factors identification Algorithm based on ICAO(International Civil Aviation Organization), SMS(Safety Management Systems) and Matrix. Airport Risk factors identification algorithm has been applied for methodology of this research and categorized by level of safety based on two factors: Probability and Severity. In addition, altitude, traffic volume, and actual Flight Operation history for various airports, runway, aircraft model with different time and weather condition were used as variable values. This study conducted regression analysis of ‘A’ organization’s flight event frequency and applied ICAO SMS Matrix to categorize the severity of the events according to international standards. Based on the analysis, derived from fundamental Airport Risk Identification Algorithm, which can be a proactive measure for safe operation. As a consequence, this study assessed the Airport safety level of each airport and drew a conclusion with countermeasures based on the problem found.

키워드

Flight data record, Flight operation quality assurance, International civil aviation organization, Safety management system, Airport risk identification algorithm

참고문헌(11)

[기타] The International Air Transport Association / 2015 / IATA safety fact sheet-result as / : 1 ~ 9
[단행본] International Civil Aviation Organization / 2009 / ICAO Safety Management Manual /
[기타] International Civil Aviation Organization / 2015 / ICAO safety report, Appendix 1 / : 21 ~ 24
[단행본] International Civil Aviation Organization / 2013 / Annex19 safety management / : 1 ~ 2
[학술지] N. McDonald / 2000 / Safety management systems and safety culture in aircraft maintenance organizations / Safety Science 34 (1) : 151 ~ 176
[보고서] United States Department of Transportation / 2004 / Advisory circular, Flight operations quality assurance
[기타] International Civil Aviation Organization / 2011 / Doc 9975 annual report of the council
[기타] International Civil Aviation Organization / 1984 / 9422-AN/923, Accident prevention manual /
[기타] International Civil Aviation Organization / 2012 / Doc 9859 safety management manual
[인터넷자료] / http://www.airport.co.kr/www/main.d
[인터넷자료] / http://araib.molit.go.kr/USR/airboard0201/m_34497/lst.jsp