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access icon Bibliometric analysis of human factors in aviation accident using MKD

© The Institution of Engineering and Technology
Received 10/03/2020, Accepted 12/05/2020, Revised 15/04/2020, Published 14/05/2020

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 firstly 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.

Other keywords: bibliometric analysis; account human issues; classification system structure; human performance mechanism; environmental factors; human reliability analysis methods; human factors analysis; aviation accident analysis; taxonomy analysis

Subjects: Other topics in statistics; Knowledge engineering techniques; Ergonomic aspects of computing; Statistics; Ergonomics

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