NTSB CAROL · Event
Event NYC78DFA21
Aircraft involved
Historical record (pre-1982)
NTSB recorded this accident in the pre-1982 coded-field schema — structured fields rather than free-text narrative. Decoded codes use established NTSB single-letter taxonomies; cause factors remain verbatim pending the Form 6120.4 codebook lookup.
Aircraft
CESSNA 180 · N3173D
Damage
Substantial
Craft type
Airplane
Classification
Accident
Light condition
Dawn
Weather
VMC
Phase of flight
Cruise — descent (EF)
Operator type
Business
Airport
KOBELT
Kind of flying
B2
Weather at impact
Sky
CLEAR
Wind
240° / 15 kt
Aircraft history
Serial number
000000031971
Total time
3,178 hrs
Pilot
Certificate
Flight instructor (CFI)
Total hours
20,225
Age
40
Probable cause (from PRE1982.MDB)
S.
Investigator remarks
BOTH BRAKES CKD,NO MALFUNCTION.WIND GUSTING 25KT
Cause factors
- 64/C/35 C PILOT IN COMMAND SELECTED UNSUITABLE TERRAIN Cause
- 88/C/DF C MISCELLANEOUS ACTS,CONDITIONS INTENTIONAL GROUND-WATER-LOOP-SWERVE Cause
- 82/L/H L WEATHER UNFAVORABLE WIND CONDITIONS
- 88/K/94 K MISCELLANEOUS ACTS,CONDITIONS OVERLOAD FAILURE Joint factor
Decoded against the NTSB Form 6120.4 cause-factor codebook (ct_Pre1982 table). Each row shows the raw triplet, modifier (Cause / Factor / etc.), category, and specific code.
Source: NTSB pre-1982 historical archive. Docket
3 1874.
Source file
NTSB_1978_3_1874.txt.
Modern CAROL record 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. Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- arXiv 2026 · arXiv preprint
A Miniaturized Broadband 1-Bit Coding Reconfigurable Intelligent Surface for NLOS UE Localization and Uplink Communication
In this paper, a broadband 1-bit coding metasurface-based reconfigurable intelligent surface (RIS) is presented. The unit cell of the metasurface consists of a wide dipole modified with interdigital c…
- arXiv 2024 · arXiv preprint
Distilling Tiny and Ultra-fast Deep Neural Networks for Autonomous Navigation on Nano-UAVs
Nano-sized unmanned aerial vehicles (UAVs) are ideal candidates for flying Internet-of-Things smart sensors to collect information in narrow spaces.
- arXiv 2024 · arXiv preprint
A flexured-gimbal 3-axis force-torque sensor reveals minimal cross-axis coupling in an insect-sized flapping-wing robot
The mechanical complexity of flapping wings, their unsteady aerodynamic flow, and challenge of making measurements at the scale of a sub-gram flapping-wing flying insect robot (FIR) make its behavior …
- Embry-Riddle Scholarly Commons 2024 · Conference paper
Integrated Propulsion and Control of Rotorcraft
RESEARCH OBJECTIVE OVERVIEW The Eagle Flight Research Center (EFRC) at Embry-Riddle Aeronautical University (ERAU) is investigating the handling qualities of failure modes of multi-rotors employing di…
- NASA NTRS 2023 · Presentation
Subsonic Single Aft Engine (SUSAN) Flight Deck Experiment: Throttle and Engine Display Concepts
NASA is developing a new hybrid-electric aircraft concept called the SUbsonic Single Aft eNgine (SUSAN) Electrofan. The SUSAN airplane is being designed as a 180-passenger commercial regional jet and …
- Embry-Riddle Scholarly Commons 2023 · Conference paper
The Value of Strong Partnerships to Build a Successful Aviation Maintenance Career Pathway Program for Transitioning Military Service Members
The aerospace industry is competing with other industries for a qualified workforce, and many of those competing industries are investing heavily in creating workforce development pipelines.
Browse the full corpus — academia portal ↗