NTSB CAROL · Event
Event CEN13CA549
Registry · N667J
FAA Aircraft Registry record.
Make / Model
JABIRU USA SPORT AIRCRAFT LLC J230-SP
Engine
JABIRU 3300 (120 hp)
Seats / Engines
2 seats · 1 engine
Last airworthiness date
20090119
ADS-B equipped
Yes — Mode-S A8CF02
Registrant of record
LOCASCIO JOSEPH M
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot's failure to attain the proper landing approach speed and touchdown point, which resulted in a runway excursion after touchdown and collision with a blast fence.
Factual narrative
The pilot stated that while on final approach to the airport, the airplane’s airspeed was too high and he overshot his intended touchdown point. Once the airplane touched down, the pilot was unable to stop the airplane before and it continued off the end of the runway. The left wing struck a blast fence and then came to rest against the airport perimeter fence. The left wing was substantially damaged. The pilot reported no mechanical malfunctions or failures with airframe or engine that would have precluded normal operation. The pilot stated that while on final approach to the airport, the airplane’s airspeed was too high and he overshot his intended touchdown point. Once the airplane touched down, the pilot was unable to stop the airplane before it continued off the end of the runway. The left wing struck a blast fence and then came to rest against the airport perimeter fence. The left wing was substantially damaged. The pilot reported no mechanical malfunctions or failures with airframe or engine that would have precluded normal operation. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
Hierarchical cause / factor breakdown from the FAA bulk avdata database. Each finding tagged C (Cause) or F (Factor).
- C Personnel issues-Action/decision-Action-Incorrect action performance-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-Descent/approach/glide path-Not attained/maintained - C
Verbatim from NTSB's published report. Source file
NTSB_2013_CEN13CA549.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
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Related research
What the literature says.
Academic papers and agency reports matching this event's aircraft type or causal vocabulary (runway excursion). Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- 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,…
Browse the full corpus — academia portal ↗