NTSB CAROL · Event
Event LAX97LA327
Registry · N56474
FAA Aircraft Registry record.
Make / Model
PIPER PA-28-140
Year of manufacture
1973 · 24 years old at event
Engine
LYCOMING 0-320 SERIES (180 hp)
Seats / Engines
4 seats · 1 engine
Last airworthiness date
19730918
ADS-B equipped
Yes — Mode-S A73930
Registrant of record
SAMPSON DAVID M
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
the student pilot's failure to maintain directional control of the airplane and proper alignment with the runway during landing.
Factual narrative
On September 13, 1997, at 0945 hours mountain standard time, a Piper PA-28-140, N56474, collided with a taxiway sign following an on ground loss of control while landing at Tucson, Arizona. The aircraft sustained substantial damage, and the student pilot was not injured. The aircraft was owned and operated by a co-owner of the aircraft. The instructional flight was conducted under 14 CFR Part 91 when the accident occurred. Visual meteorological conditions prevailed. The flight originated in Tucson at 0925. This was the first solo flight for the student pilot. The Safety Board was notified of the substantial damage and the accident status on September 19, 1997. The accident had originally been classified as an incident. The student pilot stated in her written report that the "landing was lined up too far to the left side of the runway." The left main gear went off the runway and the aircraft struck a taxiway sign, continued across the taxiway, and came to rest beyond the taxiway A11. The pilot reported a total of 21 hours of flight time in this particular aircraft. The student pilot, who was on her first supervised solo, was attempting to line up for landing on runway 11R. The wind was from 190 degrees at 7 knots. The student said the airplane was lined up too far to the left side of the runway, and the left main landing gear went off the pavement following touchdown. The airplane subsequently struck a taxiway sign. The pilot had a total of 21 hours to total flight experience, all in the accident aircraft. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_1997_LAX97LA327.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 (loss of control). Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- Embry-Riddle Scholarly Commons 2025 · Journal article (JAAER)
A Scoping Review of Aviation Loss of Control Inflight Research
Loss of control – inflight (LOC-I) contributes to aircraft accidents at unacceptably high rates. Significant industry efforts and research have aimed to improve LOC-I prevention, detection, and recove…
- SKYbrary (Eurocontrol) 2024 · SKYbrary article
Loss of Control In-Flight (LOC-I) — SKYbrary Knowledge Base
SKYbrary comprehensive knowledge-base entry on Loss of Control In-Flight — definitions, contributing factors, accident case studies (Air France 447, Colgan 3407), and prevention strategies.
- NTSB Aircraft Accident Reports 2022 · Accident report
Loss of Control on Takeoff in Icing Conditions — Citation 560XL
Cessna Citation 560XL fatal takeoff icing accident, March 2018. Investigation of a Citation 560XL loss-of-control takeoff accident in icing conditions.
- Semantic Scholar 2021 · Article (Aviation)
ANALYSIS OF GENERAL AVIATION FIXED-WING AIRCRAFT ACCIDENTS INVOLVING INFLIGHT LOSS OF CONTROL USING A STATE-BASED APPROACH
Inflight loss of control (LOC-I) is a significant cause of General Aviation (GA) fixed-wing aircraft accidents. The United States National Transportation Safety Board’s database provides a rich source…
- NASA NTRS 2021 · Presentation
Use of Design of Experiments in Determining Neural Network Architectures for Loss of Control Detection
Abstract—We describe empirical methods for selecting a neural network architecture to implement belief state inference on generic commercial transport aircraft.
- NASA NTRS 2021 · Conference Paper
Use of Design of Experiments in Determining Neural Network Architectures for Loss of Control Detection
We describe empirical methods for selecting a neural network architecture to implement belief state inference on generic commercial transport aircraft.
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