ERA24LA113
2024-02-13 · Melbourne, Florida, United States · None · 1 aircraft · Status: Completed
Airport MLB
Current FAA registration · N650FT
- Make / Model
- PIPER PA-28-181
- Year of manufacture
- 2013 · 11 years old at event
- Engine
- LYCOMING O-360-A4M (180 hp)
- Seats / Engines
- 4 seats · 1 engine
- Last airworthiness date
- 20130430
- ADS-B equipped
- Yes — Mode-S A88D49
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot receiving instruction’s failure to correctly identify the runway centerline prior to initiating the nighttime takeoff, which resulted in a collision with a runway edge light and subsequent runway excursion. Contributing to the accident was the flight instructor's inadequate monitoring of the pilot.
Factual narrative
The pilot receiving instruction reported that after receiving clearance from the control tower to take off, he taxied onto the runway during nighttime conditions. As the airplane proceeded along the center of the taxiway, he mistook the right runway edge line for the runway centerline and attempted to take off. During the takeoff roll, the airplane impacted a runway edge light, and went into the grass area adjacent to the runway. The airplane sustained substantial damage to the horizontal stabilator and the right wing during the accident. The pilot and the flight instructor reported 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.
- — Personnel issues-Action/decision-Info processing/decision-Identification/recognition-Student/instructed pilot
- — Environmental issues-Conditions/weather/phenomena-Light condition-Dark-Response/compensation
- — Personnel issues-Psychological-Attention/monitoring-Monitoring other person-Instructor/check pilot
Verbatim from NTSB's published report. Source file
NTSB_2024_ERA24LA113.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
- NTSB CAROL Agency ↗
- NTSB Docket Agency ↗
- Aviation Safety Network Aviation press ↗
- Kathryn's Report Aviation press ↗
- Aviation Herald Aviation press ↗
- AVweb Aviation press ↗
- Pilots of America Community ↗
- Reddit /r/flying Community ↗
- FlightAware Aviation press ↗
- AOPA accident database Aviation press ↗
- Google News News ↗
- DuckDuckGo News ↗
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,…