Human factors studies evaluating synthetic and peripheral vision displays in general aviation

2007 ◽  
Author(s):  
Behlul J. Poonawalla ◽  
Michael S. Braasch
Keyword(s):  
Human Factors ◽  
Peripheral Vision ◽  
General Aviation

General Aviation Weather Hazards:Current Human Factors Research, Pilot Practices, and Tools

2020 ◽  
Vol 64 (1) ◽  
pp. 123-126
Author(s):  
Beth Blickensderfer ◽  
Lori J Brown ◽  
Alyssa Greenman ◽  
Jayde King ◽  
Brandon Pitts
Keyword(s):  
Human Factors ◽  
Panel Discussion ◽  
General Aviation ◽  
Transportation Safety ◽  
Laboratory Research ◽  
Related Factors ◽  
Future Directions ◽  
The Past ◽  
Flight Operations ◽  
Human Factors Research

When General Aviation (GA) pilots encounter unexpected weather hazards in-flight, the results are typically deadly. It is unsurprising that the National Transportation Safety Board repeatedly lists weather related factors in GA flight operations as an unsolved aviation safety challenge. Solving this problem requires multidisciplinary perspectives. Fortunately, in the past several years innovative laboratory research and industry products have become available. This panel discussion brings together Human Factors and Ergonomics researchers and practitioners to discuss and describe the current work and future directions to avoid weather related accidents in GA.

scholarly journals Human Factors Analysis of Air Traffic Safety Based on HFACS-BN Model

2019 ◽  
Vol 9 (23) ◽  
pp. 5049 ◽  
Author(s):  
Tao Lyu ◽  
Wenbin Song ◽  
Ke Du
Keyword(s):  
Human Factors ◽  
Traffic Safety ◽  
Traffic Control ◽  
Human Error ◽  
Air Traffic ◽  
General Aviation ◽  
Objective Data ◽  
Factors Analysis ◽  
Four Levels ◽  
Human Factors Analysis

Air traffic control (ATC) performance is important to ensure flight safety and the sustainability of aviation growth. To better evaluate the performance of ATC, this paper introduces the HFACS-BN model (HFACS: Human factors analysis and classification system; BN: Bayesian network), which can be combined with the subjective information of relevant experts and the objective data of accident reports to obtain more accurate evaluation results. The human factors of ATC in this paper are derived from screening and analysis of 142 civil and general aviation accidents/incidents related to ATC human factors worldwide from 1980 to 2019, among which the most important 25 HFs are selected to construct the evaluation model. The authors designed and implemented a questionnaire survey based on the HFACS framework and collected valid data from 26 frontline air traffic controllers (ATCO) and experts related to ATC in 2019. Combining the responses with objective data, the noisy MAX model is used to calculate the conditional probability table. The results showed that, among the four levels of human factors, unsafe acts had the greatest influence on ATC Performance (79.4%), while preconditions for safe acts contributed the least (40.3%). The sensitivity analysis indicates the order of major human factors influencing the performance of ATC. Finally, this study contributes to the literature in terms of methodological development and expert empirical analysis, providing data support for human error management intervention of ATC in aviation safety.

HFACS Analysis of U.S. General Aviation Accidents Using Bayesian Network

2020 ◽  
Vol 64 (1) ◽  
pp. 1655-1659
Author(s):  
Chuyang Yang ◽  
John H. Mott
Keyword(s):  
Human Factors ◽  
Bayesian Network ◽  
General Aviation ◽  
Transportation Safety ◽  
Aviation Industry ◽  
Contributing Factors ◽  
The Sustainable Development ◽  
Aviation Accidents ◽  
Prior Probabilities ◽  
Probability Table

Safety is one of the most important factors that affects the sustainable development of the aviation industry. With the increasing robustness of technologies, humans have played a progressively more important causal role in aviation accidents. This paper applies an HFACS-BN model (HFACS: Human Factors Analysis and Classification System; BN: Bayesian Network) to analyze the root causes of aviation accidents. General aviation (GA) accident reports were collected from the U.S. National Transportation Safety Board (NTSB) accident database. The authors encoded the human factors of sample cases based on the HFACS framework and constructed a corresponding BN. From this work, parameter estimation associated with a conditional probability table (CPT) was conducted to determine prior probabilities of contributing factors, and a sensitivity test was conducted to determine the most significant factors. This study provides guidance to the federal government to facilitate risk management in order to reduce fatal general aviation accidents.

Analysis of Air Taxi Accidents (20042018) and Associated Human Factors by Aircraft Performance Class

2021 ◽  
Vol 92 (5) ◽  
pp. 294-302
Author(s):  
Don Budde ◽  
Jochen Hinkelbein ◽  
Douglas D. Boyd
Keyword(s):  
Human Factors ◽  
High Performance ◽  
Injury Severity ◽  
The United States ◽  
General Aviation ◽  
Organizational Level ◽  
Fatal Accidents ◽  
Performance Category ◽  
Aircraft Performance ◽  
Low Performance

INTRODUCTION: Air taxis conduct nonscheduled transport and employ aircraft in various performance categories hereafter referred to as low, medium, and high performance, respectively. No study has yet addressed fixed-wing air taxi safety by performance category. Herein, we compared accident rates/occupant injury across air taxi airplane fleets grouped by performance category and identified human factors contributing to fatal accidents for airplanes in that category with the highest mishap rate.METHODS: Accidents (20042018) in the United States were identified from the National Transportation Safety Board database. General Aviation/Part 135 Activity Surveys provided annual fleet times. Fatal accident contributing factors were per the Human Factors Classification System (HFACS). Statistics utilized Poisson distributions, Chi-Square/Fisher, and Mann-Whitney tests.RESULTS: There were 269 air taxi mishaps (53 fatal) identified. Over the 15 yr, the accident rate (1.10/million flight hours-all categories) declined 50%, largely due to a reduction in medium/high performance category airplane crashes. However, little temporal change was observed for low performance airplanes (1.5/million flight hours) and injury severity trended higher. At the aircrew/physical environment levels, HFACS revealed decision (improper choices), skill-based (stick and rudder) and perceptual (night, instrument conditions) errors contributing to > 60% of fatal accidents involving low performance airplanes. At the organizational level, failing to correct problems, time pressures, and incentive systems contributed to 16% of fatal mishaps.CONCLUSION: Safety deficits remain for the low performance category air taxi fleet warranting increased pilot instrument flight training/utilization of the mandatory 3-axis autopilot in degraded visibility. Safety culture improvements to address issues of personnel/equipment/training deficiencies, failing to correct problems, and time pressures/a safety-compromising incentive system all need to be addressed.Budde D, Hinkelbein J, Boyd DD. Analysis of air taxi accidents (20042018) and associated human factors by aircraft performance class. Aerosp Med Hum Perform. 2021; 92(5):294302.

Human Factors in Light General Aviation Aircraft: A Failure for our Profession?

1998 ◽  
Vol 42 (1) ◽  
pp. 107-111
Author(s):  
John A. Wise ◽  
David W. Abbott ◽  
Dennis B. Beringer ◽  
Jefferson M. Koonce ◽  
Kirsten Kite ◽  
...  
Keyword(s):  
Human Factors ◽  
General Aviation ◽  
Design Problems ◽  
Aircraft Accidents ◽  
Error Prevention ◽  
Waste Land ◽  
Funding Sources ◽  
Birth Place ◽  
General Aviation Aircraft

Aviation can be described as the birth place of human factors. A quick glance at the funding sources and the publications in the discipline shows that we are still quite tightly tied to aviation. Cockpit automation, mode errors, ATC workload are among topics that are currently well represented in the human factors literature. However, the place where human factors could make it biggest impact in terms of safety and error prevention, general aviation (GA), is still basically a human factors waste land. If one looks at the current statistics of light aircraft accidents, it reads like a list of errors and design problems described in any introductory human factors text.

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