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논문검색

An Application of the Risk Assessment Model for Runway End Safety Areas to a Specific Airport in Korea

초록

영어

Over the last decade there has been an obvious reduction in the number of non-fatal and fatal accidents involving the worldwide commercial jet airplane fleet. While most runway excursions are relatively minor with no serious injuries or airplane damage occurring, they have the potential to pose a serious risk to public safety and infrastructure. Preventive risk controls are the most important way to reduce the frequency and consequences of runway excursions. This research was based on a comprehensive database of Runway Safety Areas-related accidents. It was matched by a representative sample of normal operation data, such that the exposure to a range of flight-operational and meteorological risk factors between accidents and normal flights could be compared. This study focused on the risk frequency about a case airport which does not meet the 'Runway end safety area' requirement of ICAO Standards and Recommended Practices and Korean standards and used 'RSA risk model' for estimating the risk frequency. As results of this study, risk frequency of the runway end safety areas in the case airport is higher than that of 'Runway end safety area' requirement of ICAO SARPs and Korean standards. It means that alternatives for risk frequency mitigation to a level as low as reasonably practicable is required in the case airport.

목차

Abstract
 1. Introduction
 2. Developments in Methodology
  2.1. Event Probability Model
  2.2. Location Model
 3. Applying to Overrun and Veer-off Models
  3.1. Applying Historical Operation Data
  3.2. Applying Historical Weather Data
 4. Overrun and Veer-off Risk Assessment Analysis
  4.1. RSARA Analysis of Results
  4.2. Sensitivity Analysis
  4.3. Identification of Normal Operation Data (NOD) Risk Probabilities
 5. Conclusion
 References

저자정보

  • Seuing-Beom Hong Department of Avionics Engineering, Hanseo University
  • Tukhtaev Dilshod Division of Air Transportation & logistics, Hanseo University
  • DoHyun Kim Division of Air Transportation & logistics, Hanseo University

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