TY  - JOUR
PY  - 2022//
TI  - Intellectual structure and evolution trend of human error and human reliability in complex industrial systems
JO  - China safety science journal (CSSJ)
A1  - Zhang, Y.
A1  - Chen, X.
A1  - Li, M.
A1  - Wu, S.
A1  - Tong, R.
SP  - 46
EP  - 52
VL  - 32
IS  - 12
N2  - In order to effectively control and reduce human error and improve human reliability in complex industrial systems, 581 related articles and their 15 722 references were collected from the Web of Science (WOS) database, and the main research teams, knowledge bases and frontier hotspots were explored by using the methods of authors' cooperative network, document co-citation and burst detection. The results show that the contributors mainly come from Korea, China and America, and mainly focus on industrial fields such as nuclear power, navigation and aviation. Human error and human reliability research have experienced the knowledge evolution from qualitative research (e.g., " emergency operating procedures" and "variability of procedure progression") to quantitative research (e.g., "simulation data" and HRA). Moreover, the research frontier and hot topics are mainly related to the "dependence assessment" and the "human error data". Through further in-depth analysis, it is found that human error research mainly analyzed the human error mechanism under the human-machine interaction, and the improvement of the HRA method, identification of performance influencing factors and the human error probability assessment are included in the HRA research. © 2022 China Safety Science Journal. All rights reserved.<p /> <p>Language: en</p>
LA  - en
SN  - 1003-3033
UR  - http://dx.doi.org/10.16265/j.cnki.issn1003-3033.2022.12.0509
ID  - ref1
ER  -