CEN13LA167
2013-02-07 · Idabel, Oklahoma, United States · None · 1 aircraft · Status: Completed
Airport 4O4
Aircraft involved
Probable cause & findings
The student pilot's failure to maintain directional control during landing, which resulted in a runway excursion.
Factual narrative
On February 7, 2013, about 1200 central standard time, a Cessna 172L airplane, N7974G, departed the side of the runway while landing at the McCurtain Country Regional Airport (4O4), Idabel, Oklahoma. The solo student pilot was not injured. The airplane was substantially damaged. The airplane was registered to Arrow Aviation LLC and operated by the Texarkana Flying Club under the provisions of 14 Code of Federal Regulations Part 91 as a personal flight. Visual meteorological conditions prevailed for the flight, which operated without a flight plan. The flight originated from the Texarkana Regional Airport (KTXK), Texarkana, Arkansas, about 1115, and was en route to 4O4.According to a statement provided by the pilot, while landing on runway 20, the airplane began to veer to the left as soon as the nose landing gear contacted the runway. The pilot attempted to correct with full right rudder and was unable to regain control of the airplane. The airplane departed the left side of the runway and rolled in to a grass field where the nose gear struck a drainage ditch and sheared off the nose landing gear. The airplane nosed over and came to rest inverted. Substantial damage was sustained to the vertical stabilizer and rudder. An examination of the airplane wreckage by responding Federal Aviation Administration inspectors did not detect any preimpact malfunctions or failures with the engine or airframe. Prevailing wind was from 180 degrees at 7 knots. The solo student pilot stated that, while landing, the airplane began to veer left when its nosewheel contacted the runway. He attempted to correct with full right rudder but was unable to regain control of the airplane. The airplane departed the left side of the runway and struck a drainage ditch, which resulted in the shearing off of the nose landing gear. An examination of the airplane wreckage did not reveal any preimpact anomalies with the engine or airframe 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
Verbatim from NTSB's published report. Source file
NTSB_2013_CEN13LA167.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,…