WPR20CA052
2019-12-23 · Chandler, Arizona, United States · None · 1 aircraft · Status: Completed
Airport CHD
Aircraft involved
Probable cause & findings
The student pilot's loss of directional control during the landing roll, which resulted in a collision with a taxiway sign.
Factual narrative
The student pilot reported that following a normal landing, while the airplane was decelerating, he attempted to exit the runway as instructed by the tower controller. During the turn, the student pilot lost directional control of the airplane and struck a taxiway sign, causing substantial damage to the right wing. The student pilot reported that the airplane's speed was suitable for the turn, but he had issues controlling the airplane with the rudder pedals and brakes, which resulted in a runway excursion. The operator reported that there were no preaccident mechanical failures or malfunctions with the airplane that would have precluded normal operation. The solo student pilot reported that, following a normal landing and while the airplane was decelerating, he attempted to exit the runway as instructed by the air traffic tower controller. During the turn, the student lost directional control of the airplane, and it exited the runway and struck a taxiway sign, which resulted in substantial damage to the right wing. The student reported that the speed was suitable for the turn but that he had issues controlling the airplane with the rudder pedals and brakes, which resulted in the runway excursion. The operator reported that there were no preaccident mechanical failures or malfunctions with the airplane that would have precluded normal operation. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
FAA avdata. C = Cause, F = Factor.
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Directional control-Not attained/maintained - C
- C Personnel issues-Task performance-Use of equip/info-Aircraft control-Student/instructed pilot - C
- C Environmental issues-Physical environment-Object/animal/substance-Sign/marker-Effect on operation - C
Verbatim from NTSB's published report. Source file
NTSB_2019_WPR20CA052.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.
- TallyAero Live Wire Aviation press
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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,…