GAA15CA223
2015-08-11 · Driggs, Idaho, United States · Minor · 1 aircraft · Status: Completed
Airport DIJ
Current FAA registration · N2369D
- Make / Model
- CESSNA 170B
- Seats / Engines
- 4 seats · 1 engine
- ADS-B equipped
- Yes — Mode-S A22261
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot's failure to maintain directional control during the landing roll, which resulted in a runway excursion and a nose over.
Factual narrative
The pilot of the tailwheel equipped airplane reported that during touchdown for landing, a gust of wind blew the airplane to the right of the runway centerline. The pilot attempted to correct with control inputs, but the airplane continued to the right and exited the runway. The right main landing gear wheel dug in to the dirt and the airplane came to rest inverted. The airplane sustained substantial damage to fuselage, wings, horizontal stabilizer, and rudder. The wind reported from a weather station at the airport about the time of the accident were from 250 degrees at 7 knots. The pilot reported he was landing runway 21. The pilot reported no preimpact mechanical failures or malfunctions with the airframe or engine that would have precluded normal operation. The pilot of the tailwheel equipped airplane reported that during touchdown for landing, a gust of wind blew the airplane to the right of the runway centerline. The pilot attempted to correct with control inputs, but the airplane continued to the right and exited the runway. The right main landing gear wheel dug in to the dirt and the airplane came to rest inverted. The airplane sustained substantial damage to fuselage, wings, horizontal stabilizer, and rudder. The wind reported from a weather station at the airport about the time of the accident were from 250 degrees at 7 knots. The pilot reported he was landing runway 21. 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-Directional control-Not attained/maintained - C
Verbatim from NTSB's published report. Source file
NTSB_2015_GAA15CA223.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
Search this event elsewhere
External sources are reported, not agency: signal that something happened, not fact about what happened.
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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,…