GAA15CA216
2015-08-04 · Ellijay, Georgia, United States · None · 1 aircraft · Status: Completed
Airport 49A
Aircraft involved
Probable cause & findings
The pilot's failure to attain and maintain sufficient airspeed during takeoff which resulted in a descent, loss of directional control, and a runway excursion.
Factual narrative
The pilot reported that he applied power for night time takeoff and lifted off the runway. The airplane reached a height about 5 feet above the ground, and the pilot stated he could not see the runway lights and felt he was in a black hole. The airplane descended to the runway and bounced hard. Despite efforts from the pilot to control the airplane, it veered left, exited the runway, and went down an eight to ten foot high embankment impacting terrain. The airplane came to rest inverted and sustained substantial damage to the fuselage and wings. The pilot reported no preimpact mechanical failures or malfunctions with the airframe or engine that would have precluded normal operation. The pilot reported that he applied power for night time takeoff and lifted off the runway. The airplane reached a height about 5 feet above the ground, and the pilot stated he could not see the runway lights and felt he was in a black hole. The airplane descended to the runway and bounced hard. Despite efforts from the pilot to control the airplane, it veered left, exited the runway, and went down an eight to ten foot high embankment impacting terrain. The airplane came to rest inverted and sustained substantial damage to the fuselage and wings. The pilot reported no preimpact mechanical failures or malfunctions with the airframe or engine that would have precluded normal operation. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
FAA avdata. C = Cause, F = Factor.
- C Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot - C
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Airspeed-Not attained/maintained - C
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Climb rate-Not attained/maintained - C
- — Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Directional control-Not attained/maintained
- — Personnel issues-Psychological-Perception/orientation/illusion-Visual illusion/disorientation-Pilot
Verbatim from NTSB's published report. Source file
NTSB_2015_GAA15CA216.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
Search this event elsewhere
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Related research
Matched on aircraft type or causal vocabulary (runway excursion). All research papers
- SKYbrary (Eurocontrol) 2024 · SKYbrary article Runway Excursion — SKYbrary Knowledge Base
SKYbrary runway excursion review — RE-OE (overruns) + RE-LO (lateral). Risk drivers: long landing, high approach speed, contaminated surface, tailwind, mis-set autobrakes.
- NTSB Aircraft Accident Reports 2019 · Accident report Embraer ERJ 175 Runway Excursion at Charlotte Douglas
Republic Airline ERJ-175 runway excursion CLT, January 2018. Examines a low-energy runway excursion involving misuse of autobrakes + thrust reverser response after a high-crosswind landing on a contam…
- NASA NTRS 2025 · Presentation Uncovering Resilient Behavior in the Aviation Safety Reporting System Using Large Language Models
Resiliency is present in everyday life, both in system design and exhibited by the operators that function within these systems.
- NASA NTRS 2025 · Conference Paper Uncovering Resilient Behavior in the Aviation Safety Reporting System Using Large Language Models
Resiliency is present in everyday life, both in system design and exhibited by the operators that function within these systems.
- Flight Safety Foundation 2024 · FSF / AeroSafety World Runway Safety Initiative Final Report (RSI)
Foundation Runway Safety Initiative final report — comprehensive analysis of runway excursion + incursion risk drivers worldwide.
- Semantic Scholar 2020 · Article Towards online prediction of safety-critical landing metrics in aviation using supervised machine learning
Abstract In recent years, due to the increased availability of data and improvements in computing power, application of machine learning techniques to various aviation safety problems for identifying,…