NTSB CAROL · Event
Event WPR20LA322
Registry · N4132W
FAA Aircraft Registry record.
Make / Model
PIPER PA-32-300
Year of manufacture
1967 · 53 years old at event
Engine
LYCOMING TI0-540 SER (310 hp)
Seats / Engines
6 seats · 1 engine
Last airworthiness date
19670301
ADS-B equipped
Yes — Mode-S A4E1F8
Registrant of record
TOPKEN WILLIAM F
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot’s failure to maintain directional control during a nighttime landing with a crosswind, which resulted in a runway excursion and impact with a sign.
Factual narrative
The pilot reported that, while landing on runway 24 at night, with a crosswind, the airplane veered to the right and despite his control inputs to correct, the airplane exited the runway onto the adjacent soft terrain. Concerned the airplane may “get stuck” in the soft terrain, he maintained power and continued to taxi towards the taxiway. He heard and felt a bang that jolted the airplane. After slowing and turning onto the taxiway, the airplane would not continue. After shutting down the engine, the pilot inspected the airplane and found that the right main landing gear tire was flat, and the left wing was substantially damaged as a result of a collision with a taxiway sign. The pilot reported that there were no mechanical failures or malfunctions with the airplane that would have precluded normal operation. The pilot reported that the automated weather at the time of the accident was reporting the wind from 290o at 12 knots, gusting to 24 knots. 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).
- — Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot
- — Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Directional control-Not attained/maintained
- — Environmental issues-Conditions/weather/phenomena-Wind-Crosswind-Effect on operation
- — Environmental issues-Conditions/weather/phenomena-Light condition-Dark-Effect on operation
- — Environmental issues-Physical environment-Object/animal/substance-Runway/taxi/approach light-Effect on operation
Verbatim from NTSB's published report. Source file
NTSB_2020_WPR20LA322.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 ↗