GAA17CA038
2016-10-15 · Wilmington, Ohio, United States · Minor · 1 aircraft · Status: Completed
Airport I66
Aircraft involved
Probable cause & findings
The pilot's improper landing flare, which resulted in a bounced landing, and his subsequent failure to maintain directional control, which resulted in a runway excursion.
Factual narrative
The pilot reported that after the initial touchdown, the tailwheel equipped airplane bounced and "floated" as "he held the stick back". The airplane touched down again and began to porpoise, while "he continued to hold the stick back". He further reported that the airplane veered to the left and he attempted to correct with rudder inputs. Subsequently, the airplane exited the left side of the runway, encountered a grassy incline, and became airborne. He reported that he applied full throttle but the airplane did not gain altitude, he then saw trees ahead and elected to land the airplane. As the airplane contacted the ground it rolled forward, coming to rest in a nose down attitude. The pilot reported that there were no pre impact mechanical failures or malfunctions with the airframe or engine that would have precluded normal operation. The pilot reported that after the initial touchdown, the tailwheel equipped airplane bounced and "floated" as "he held the stick back". The airplane touched down again and began to porpoise, while "he continued to hold the stick back". He further reported that the airplane veered to the left and he attempted to correct with rudder inputs. Subsequently, the airplane exited the left side of the runway, encountered a grassy incline, and became airborne. He reported that he applied full throttle but the airplane did not gain altitude, he then saw trees ahead and elected to land the airplane. As the airplane contacted the ground it rolled forward, coming to rest in a nose down attitude. The pilot reported that there were no pre impact 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 Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Directional control-Not attained/maintained - C
- C Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot - C
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Landing flare-Not attained/maintained - C
Verbatim from NTSB's published report. Source file
NTSB_2016_GAA17CA038.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
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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,…