• Title/Summary/Keyword: Runway excursion

Search Result 4, Processing Time 0.016 seconds

A Study on the Variation in the Risk Probability of Runway Strips due to the Runway Displaced Threshold (활주로시단이설에 따른 착륙대 위험발생빈도 변화 연구)

  • Kim, DoHyun;Chang, Hyoseok
    • Journal of the Korean Society for Aviation and Aeronautics
    • /
    • v.29 no.4
    • /
    • pp.45-51
    • /
    • 2021
  • A runway safety area (RSA) is defined as the surface surrounding the runway prepared or suitable for reducing the risk of damage to airplanes in the event of an undershoot, overshoot, or excursion from the runway. The Runway Stripe is a defined area including the runway stopway, if provided, intended firstly to reduce the risk of damage to aircraft running off a runway, and secondly, to protect aircraft flying over it during takeoff or landing operations. This study used 2 RSA analysis models; RSARA and LRSARA. The analysis utilizes historical data from the specific airport and allows to take into consideration specific operational conditions to which movements are subject, as well as the actual or planned RSA conditions in terms of dimensions, configuration, and boundaries defined by existing obstacles. This study applied the RSA and LRSA risk assessment models to a domestic airport that do not meet the criteria required by standards for aerodrome physical characteristics. The airport is considering a method to secure the runway strip standard through the displaced threshold. This study intends to confirm through quantitative risk estimation whether meeting facility standards through the runway displaced threshold leads to a positive change in risk mitigation.

Development of Runway Incursion Risk Assessment Checklist (활주로 침범 위험 분석 체크리스트 개발)

  • Maeng, Sung-Kyu;Jung, Yoon-Sik;Choi, Jin-Kook;Kwon, Bo-Hun
    • Journal of the Korean Society for Aviation and Aeronautics
    • /
    • v.20 no.1
    • /
    • pp.46-54
    • /
    • 2012
  • One major safety issue of surface operations is the occurrence of runway incursions. Runway incursions are the consequence of multiple operational and/or environmental factors. Human error is known to contribute to almost every runway incursion. One major contributing factor for runway incursion is crew's lack of situational awareness during airport surface operations, induced by weather considerations, by complex airport factors or by crew technique itself; it is also caused by ATC issues. Various airport factors may affect pilot situational awareness, distract the crew, or lead to crew confusion. The recommendations to avoid runway incursions are manifold; Proper Crew's CRM/TEM skills, adequate communication technique, proper knowledge of airport surface markings, lights and signs and preparation of preparation of expected taxi out/in routing. Also runway incursion risk assessment on specific airport before flight may lead to aware of risk level and contribute to prevent runway incursion.

An Application of the Improved Models for Risk Assessment of Runway Safety Areas (활주로안전구역 위험평가 개선모델 적용 연구)

  • Kim, Do-Hyun;Hong, Seung-Beom
    • Journal of the Korean Society for Aviation and Aeronautics
    • /
    • v.23 no.2
    • /
    • pp.1-6
    • /
    • 2015
  • The RSA is intended to prevent the following five types of events from becoming an accident: landing overruns, landing undershoots, landing veer-offs, takeoff overruns and takeoff veer-offs. The improved models are based on evidence from worldwide accidents and incidents that occurred during the past 27 years. The analysis utilizes historical data from the specific airport and allows the user to take into consideration specific operational conditions to which movements are subject, as well as the actual or planned RSA conditions in terms of dimensions, configuration, type of terrain, and boundaries defined by existing obstacles. This paper shows how to apply the improved models for Risk Assessment of Runway Safety Areas (Airport cooperative research program(ACRP) Report 50) into an airport and the outcome differences between the old models based on ACRP report 3-Analysis of aircraft overrun and undershoots for runway safety areas and the new models from ACRP report 50 in the specific airport.

A case study on the Occurrence Category of aircraft accidents and serious incidents in Korea in the 2000's (2000년대 국내 항공기 사고·준사고 발생유형 사례연구)

  • Choi, Young-Jae;Ahn, Jae-Hyung;You, Kyung-In;Park, Jung-Gown
    • Journal of the Korean Society for Aviation and Aeronautics
    • /
    • v.21 no.4
    • /
    • pp.119-125
    • /
    • 2013
  • Since year 2001 to the present time, the aircraft accidents and serious incidents in our country have surpassed 150 occurrences. The Boeing has published the statistical summary of commercial jet airplane accidents annually for the past 10 years on the basis of the occurrence categories defined by the CICTT(CAST/ICAO Common Taxonomy Team), and the number of occurrences is in order of loss of control(LOC-I), controlled flight into terrain(CFIT) and runway excursion (RE). Like the NTSB and the EASA, when fatal and non-fatal accidents are aggregated, though fatality rate is low, abnormal runway contact(ARC), system/component failure(SCF-PP/NP), ground handling(RAMP) rank high in the CICTT occurrence categories. With the less occurrence frequency, it is difficult to statistically analyze the aircraft accidents in our country, thus customarily the accidents and the serious incidents on aggregate are consolidated, and the statistical analysis is performed. This study categorizes the accidents and serious incidents to the domestic transportation aircraft in the past 10 years according to the CICTT occurrence categories, that is compared with foreign practices, and the implications have been discussed. From years 2001 through 2010, the accidents to the domestic transportation aircraft occurred in order of system failure(SCF-NP), ARC and power plant failure(SCF-PP), and when the accidents and the serious incidents are consolidated and analyzed, it is verified that a distribution appears similar to the European accident occurrence categories defined from 300 accident occurrence data.