Human reliability analysis: Exploring the intellectual structure of a research field

Patriarca, Riccardo; Ramos, Marilia Abílio; Paltrinieri, Nicola; Massaiu, Salvatore; Costantino, Francesco; Gravio, Giulio Di; Boring, Ronald L.

doi:10.1016/j.ress.2020.107102

Cited by 26 publications

(18 citation statements)

References 139 publications

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“…System dynamics can be used to explore the causal relationships following the logic presented in the SCS, extended with ad hoc modelling. In addition, it is possible to complement the analysis with human reliability models to extend the way human controllers behave and are influenced by work or contextual pressures [22,23]. Furthermore, quantitative analysis based on Bayesian modelling may complement the reactive dimension of CAST with proactive estimations of the events' likelihood even in the case of intertwined sets of contributing factors [51].…”

Section: Discussionmentioning

confidence: 99%

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Learning from Incidents in Socio-Technical Systems: A Systems-Theoretic Analysis in the Railway Sector

et al. 2022

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Post mortem incident investigations are vital to prevent the occurrence of similar events and improve system safety. The increasing interactions of technical, human and organizational elements in modern systems pose new challenges for safety management, demanding approaches capable of complementing techno-centric investigations with social-oriented analyses. Hence, traditional risk analysis methods rooted in event-chain reactions and looking for individual points of failure are increasingly inadequate to deal with system-wide investigations. They normally focus on an oversimplified analysis of how work was expected to be conducted, rather than exploring what exactly occurred among the involved agents. Therefore, a detailed analysis of incidents beyond the immediate failures extending towards socio-technical threats is necessary. This study adopts the system-theoretic accident model and process (STAMP) and its nested accident analysis technique, i.e., causal analysis based on systems theory (CAST), to propose a causal incident analysis in the railway industry. The study proposes a hierarchical safety control structure, along with system-level safety constraints, and detailed investigations of the system’s components with the purpose of identifying physical and organizational safety requirements and safety recommendations. The analysis is contextualized in the demonstrative use of a railway case. In particular, the analysis is instantiated for a 2011 incident in the United Kingdom (UK) railway system. Hence, the CAST technique requires information regarding incidents, facts and processes. Therefore, the case study under analysis provided the information to analyze the accidents based on system theory, in which the results of the analysis prove the benefits of a CAST application to highlight criticalities at both element- and system-level, spanning from component failure to organizational and maintenance planning, enhancing safety performance in normal work practices.

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Section: Discussionmentioning

confidence: 99%

“…Within the defense sector, a new approach combined a STAMP-inspired safety control theory with human reliability analysis (HRA) [22] to focus more on human error causality within a socio-technical system. This combination was rationalized and proven feasible by using a test case of the Minuteman III missile accident.…”

Section: Literature Reviewmentioning

confidence: 99%

Learning from Incidents in Socio-Technical Systems: A Systems-Theoretic Analysis in the Railway Sector

et al. 2022

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“…Within the complex system of behavioral cognition, the research of unsafe behavioral control is mainly concerned with human reliability analysis (HRA). Patriarca et al [ 38 ] used the multimethod approach to build an intelligent framework with identifying current research streams and outlining the potential for future research in the HRA fields. In maritime industries, the skills–rules–knowledge (SRK) framework attempted to introduce cognitive concepts for effectively distinguishing behavioral performance, which was a traditional application method for HRA quantification combining with expert system.…”

Section: Literature Reviewmentioning

confidence: 99%

Identifying Cognitive Mechanism Underlying Situation Awareness of Pilots’ Unsafe Behaviors Using Quantitative Modeling

Jiang

Chen

Kang

et al. 2021

IJERPH

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Situation awareness (SA) of pilots’ unsafe behavior can ensure safety onboard. Thus, the cognitive mechanism that controls the SA leading to unsafe behavior must be articulated. This study employs the SA model and theory of planned behavior (TPB) to articulate a quantitative model of ship safe piloting. Firstly, the hierarchical classification framework of unsafe behaviors was constructed as an analytical foundation for rational and unconscious behaviors in sight of cognitive processes, and then the measurement elements of the cognitive mechanisms for behaviors were identified. Subsequently, based on the structural model, a hypothetical model of the cognitive path for unsafe behaviors was proposed by using the extended TPB, where there are four independent variables (i.e., attitude (ATD), subjective norm (SN), and perceived behavioral control (PBC)), one mediating variables (i.e., SA) and two dependent variables (i.e., behavioral intention (BI) and unsafe behaviors (BE)). Finally, this hypothetical model was analyzed with the data resources from extended TPB questionnaire of 295 pilots. Analysis results show that relationships of causation and mediation in the cognitive mechanism are in line with the behavior pattern and SA have a pronounced mediating effect and a strong relevance to the causal chain of extended TPB framework. This study integrated the SA three-level model to understand the motivation–cognition–action–feedback (MCAF) mechanism of pilots’ unsafe behaviors under cognitive mode of information processing through structural model. It would make a valuable contribution to the assessment and intervention of safety behaviors, and provide a basic framework for monitoring the situation awareness of pilot by man-machine interactive measurement technology in the future.

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“…They also discuss cooperation between institutions and countries and present a simplified co-citation network. Patriarca et al [13] investigated the intellectual structure of the HRA field through the analysis of over 1200 publications within more than five decades of HRA literature. They identified and thoroughly described the main HRA research areas through a combination of factor analysis, multi-dimensional scaling, and bibliometric mapping.…”

Section: Introductionmentioning

confidence: 99%

“…In scientometrics, social structures are considered critical for understanding relationships in the academic environment and consequently research itself, since it is usually minor institutionally-influenced than imagined [16]. This paper builds on the study conducted by Patriarca et al [13] and uses co-authorship analyses for identifying Invisible Colleges and their connections. The co-authorship has been chosen as a factor because a more substantial relationship tends to exist between researchers that write together compared to those that cite each other's work, use similar keywords, or attract similar audiences [17].…”

Section: Introductionmentioning

confidence: 99%

The social structure of 70 years of literature on Human Reliability

Ramos

Patriarca

Paltrinieri

2021

Proceedings of the Institution of Mechanical Engineers, Part O:

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From its first applications to the military domain, HRA progressed to applications in Nuclear Power Plants (NPPs) operations, when development and validation of methods mainly targeted their use in Probabilistic Risk Assessments. In recent years, advances in HRA include the extension to various application fields, the development of new methods or enhancement of existing ones, data collection efforts, among others. These advances are possible due to the increasing number of authors on HRA and collaboration between them. Systematic literature reviews have been increasingly used for understanding various aspects of a research field. While recent reviews have provided an overview of the topics addressed by HRA research, the social structure of the field has not yet been fully explored. This paper discusses the social structure of HRA through 70 years of literature. The review aims at responding to how the links between different authors groups were created, that is, which large-scale projects, geographical proximity, or research topics contributed to these connections. The results indicate that (1) while the research on HRA was mostly based in the U.S.A. before 2000, China, Japan, and South Korea are significant contributors to the recent literature; (2) despite the increasing diversity of application fields, such as applications to the maritime and offshore industry, the main focus on NPPs operations is persistent since the 1980s; (3) due to large research projects, favored by a connected world, the physical workspace does not limit current collaboration among authors.

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Human reliability analysis: Exploring the intellectual structure of a research field

Cited by 26 publications

References 139 publications

Learning from Incidents in Socio-Technical Systems: A Systems-Theoretic Analysis in the Railway Sector

Learning from Incidents in Socio-Technical Systems: A Systems-Theoretic Analysis in the Railway Sector

Identifying Cognitive Mechanism Underlying Situation Awareness of Pilots’ Unsafe Behaviors Using Quantitative Modeling

The social structure of 70 years of literature on Human Reliability

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