NTSB CAROL · Event
Event ERA14CA097
Registry · N1960C
FAA Aircraft Registry record.
Make / Model
CESSNA 195B
Year of manufacture
1952 · 62 years old at event
TCDS
A-790 · TEXTRON AVIATION INC
Engine
JACOBS R755B SERIES (275 hp)
Seats / Engines
5 seats · 1 engine
Last airworthiness date
19551009
ADS-B equipped
Yes — Mode-S A180D0
Registrant of record
SENGER BRUCE D
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot's attempt to avoid a deer on the runway, which resulted in loss of aircraft control, a runway excursion, and collision with a runway sign.
Factual narrative
According to the pilot, during the landing roll, he noticed three deer enter the runway from his left. One of the deer stopped on runway centerline and the pilot stated that he steered the airplane to the right, missed the deer, lost control of the airplane, and departed the right side of the runway. The airplane collided with a runway marker sign. Post-accident examination of the airplane revealed substantial damage to the fuselage and left wing. The pilot reported no mechanical malfunctions or failures with the airplane that would have precluded normal operation. According to the pilot, during the landing roll, he noticed three deer enter the runway from his left. One of the deer stopped on runway centerline and the pilot stated that he steered the airplane to the right, missed the deer, lost control of the airplane, and departed the right side of the runway. The airplane collided with a runway marker sign. Post-accident examination of the airplane revealed substantial damage to the fuselage and left wing. The pilot reported no mechanical malfunctions or failures with the airplane 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 Environmental issues-Physical environment-Object/animal/substance-Animal(s)/bird(s)-Response/compensation - C
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Directional control-Not specified - C
- — Environmental issues-Physical environment-Object/animal/substance-Sign/marker-Contributed to outcome
Verbatim from NTSB's published report. Source file
NTSB_2014_ERA14CA097.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 ↗