Bibliometric analysis of human factors in aviation accident using MKD

Abstract

This study aims to provide a better understanding of human factors and human performance mechanism in aviation accident analysis by visualisation and taxonomy analysis using mapping knowledge domain (MKD). An overview of aviation accident analysis involving human factors is first conducted, followed by an introduction of several conceptual models and human reliability analysis methods. Finally, a specific framework for risk assessment of human factors in aviation is proposed. The human factors analysis and classification system structure combined with the quantitative method is the most frequently used mode in aviation accident analysis. From a macro ergonomic perspective, systematic consideration has been emphasised frequently in existing research. Pilots or individuals are thought to be associated with the organisations and environment they located in. On the other hand, the micro ergonomic aspect prefers a quantitative and probabilistic way to reveal the individual's failure mode or error rate. Based on previous studies, the proposed framework provides a systematic view to help with the evaluation of human performance in aviation, taking into account human issues as well as management and environmental factors.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Aviation Accident and Incident Forecasting Combining Occurrence Investigation and Meteorological Data Using Machine Learning

“…This makes it clear that when considering that the type of aircraft involved in the occurrence, in this case, identified mainly as high MTOW, as well as the type of operation, such as pilot training, should receive relevant attention regarding meteorological issues in the management and prevention of aeronautical occurrences. Among the variables considered, there are some that can be managed, such as profiles of aircraft operating under certain meteorological conditions and definition of an airport site in locations with less susceptibility to meteorological variables (Alves et al, 2020), such as regular relief, which can interfere with the safety of the operation due to the Although not considered in this study, different factors may also have caused such occurrences, such as cognitive factors of the crew-stress level, situational awareness, dependencies on automated systems (Martins, 2016), operational failures or violation of procedures (Medvedev, 2013), and even other human factors related to aviation operations (Wan et al, 2021).…”

Human Factors as Predictor of Fatalities in Aviation Accidents: A Neural Network Analysis

“…While every human, even with the best training, is of course always liable to make mistakes [18], many players have suggested different ways of reducing the impact of human factors. The ICAO has provided efforts to improve organizational structures and human management [11]; Boeing addressed visual perception, ergonomics, and the human-computer interface [14,19]; organizational safety culture was addressed in [20]; a constant monitoring of routine operations is envisioned in [8]; an Aviation Maintenance Monitoring Process (AMMP) is suggested in [21]; and a bibliometric analysis can be found in [22]. In [23], a probabilistic and statistical study of aeronautical accidents is carried out, in which the authors, using autoregressive integrated moving average (ARIMA) models, sought to assess safety levels in the aviation sector, analyzing available data and accident reports and the different variables involved, which, through time series analysis, present forecasts of values and respective trends for the future.…”