ANC14LA011
2013-12-15 · Bethel, Alaska, United States · None · 1 aircraft · Status: Completed
Airport BET
Aircraft involved
Probable cause & findings
The pilot’s decision to abort the takeoff with insufficient runway remaining, which resulted in a runway excursion.
Factual narrative
On December 15, 2013, about 1730 Alaska Standard Time, a Cessna 172M airplane, N20109, sustained substantial damage after colliding with an airport fence during takeoff from the Bethel Airport, Bethel, Alaska. The airplane was operated by Flight Alaska, Inc., doing business as Yute Air Alaska, as a scheduled commuter flight under the provisions of 14 Code of Federal Regulations Part 135. The commercial pilot, who was the sole occupant, was not injured. Visual meteorological conditions prevailed and a company flight plan had been filed for the scheduled flight to Napaskiak, Alaska. In a written statement to the National Transportation Safety Board, the operator stated that the pilot was departing on runway 30. During the takeoff roll, the airplane became airborne briefly, but immediately settled back onto the runway. The pilot started to abort the takeoff, but realized that he did not have sufficient runway to stop the airplane. He reapplied full power, but impacted the airport perimeter fence. The airplane sustained substantial damage to the right wing and empennage. An examination of the airplane by a FAA airworthiness inspector revealed no anomalies that would have precluded normal operation, and the engine was run on the airframe through various power settings without anomaly. The operator reported that, during the takeoff for the scheduled commuter flight, the airplane briefly became airborne but that it immediately settled back onto the runway. The pilot started to abort the takeoff, but he then realized that he did not have sufficient runway remaining to stop the airplane. He reapplied full power, but the airplane impacted the airport perimeter fence, which resulted in substantial damage to the right wing and empennage. An examination of the airplane revealed no anomalies that would have precluded normal operation, and the engine was run on the airframe through various power settings without anomaly. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
FAA avdata. C = Cause, F = Factor.
- C Personnel issues-Action/decision-Info processing/decision-Decision making/judgment-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_2013_ANC14LA011.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,…