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Two decades on human reliability analysis: A bibliometric analysis and literature review

期刊

ANNALS OF NUCLEAR ENERGY
卷 151, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.anucene.2020.107969

关键词

Human reliability analysis; Probabilistic safety assessment; Performance shaping factor; Human error probability; Bibliometric analysis; Literature review

资金

  1. National Natural Science Foundation of China [61773250, 71671125]
  2. Fundamental Research Funds for the Central Universities

向作者/读者索取更多资源

Human reliability analysis (HRA) is a systematic technique used to assess human systematic risk in various industries. This article provides a bibliometric overview and visualization of the HRA field based on the analysis of 271 publications from 2009 to 2020. The results offer valuable information on current situations, hotspots, and future development trends in the HRA area.
Human reliability analysis (HRA) is a systematic technique to assess human systematic risk, and has been widely used in various industries for enhancing the safety and reliability of complex socio-technical systems. However, there is a lack of a comprehensive bibliometric analysis of the literature on this topic. This article aims to provide academics and practitioners with a bibliometric overview and visualization of the HRA field. For doing so, 271 publications derived from the Web of Science and published from 2009 to 2020 were analyzed by the CiteSpace regarding cooperation network, co-citation network, and keyword co-occurrence network. The cooperation network analysis indicates that the most productive authors in the HRA area are Jinkyun Park, Wondea Jun and Yochan Kim from the Korea Atomic Energy Research Institute, and the selected publications mainly from South Korea, USA, and China. By the co-citation network analysis, the core journals are identified as Reliability Engineering & System Safety, Safety Science, and Journal of Loss Prevention in the Process Industries; the influential authors are Alan D Swain, Erik Hollnagel, and Barry A Kirwan; and the emerging research trends are determined as decision making, humane performance data, dependence assessment, and ratio magnitude estimation. The keyword co-occurrence network analysis shows that the research hotspots in the HRA domain are CREAM, quantification, and performance. Based on these trends and blind spots in the literature, potential future research directions are also suggested. The results provide valuable information for scholars to grasp the current situations, hotspots, and future development trends of the HRA area. (C) 2020 Elsevier Ltd. All rights reserved.

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