Cognitive Gap and Correlation of Safety-I and Safety-II: A Case of Maritime Shipping Safety Management

Qiao, Weiliang; Liu, Yang; Ma, Xiaoxue; Lan, He

doi:10.3390/su13105509

Cited by 8 publications

(5 citation statements)

References 58 publications

(60 reference statements)

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“…The capacity of the system to recover from abnormal status to normal status is usually measured by resilience. Even though there is no universal consensus on the definition of resilience, it is widely accepted that the resilience of a system should be at least represented by three aspects, namely, absorptive capacity, adaptive capacity and restorative capacity [ 157 ]. According to the perspective of the Bow-tie diagram, both the absorptive and adaptive capacity take effect on the left side to absorb or adapt the identified risks, while the restorative capacity mainly functions on the right side to facilitate the system recovery from failure status to normal status.…”

Section: Future Research On Safety Barriersmentioning

confidence: 99%

Barriers Involved in the Safety Management Systems: A Systematic Review of Literature

Qiao

Huang

Guo

et al. 2022

IJERPH

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Safety barriers are widely accepted in various industries as effective risk management tools to prevent hazardous events and mitigate the consequences caused by these events. Studies on safety barriers have been increasing in recent decades; therefore, the general idea of this article is to present a systematic review of the field. The purpose of this article is threefold: (1) to map various networks for the barrier-related articles collected from WoS; (2) to summarize the advances of the safety barrier at both the individual level and barrier management level on the basis of six issues, and (3) to propose the research perspectives associated with safety barriers considering the latest theories and methodologies in the field of safety management. Based on the findings and insights obtained from the literature collected by a bibliometric and systematic review, studies on barrier management within the complex socio-technical system are analyzed, and the framework of “risk-barrier capacity” is proposed for future development, in which the challenges stemming from industrial intelligence may be solved through resilience theory. Meanwhile, intelligent technologies are also able to serve as health status monitoring devices for various barrier elements.

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Section: Future Research On Safety Barriersmentioning

confidence: 99%

Barriers Involved in the Safety Management Systems: A Systematic Review of Literature

Qiao

Huang

Guo

et al. 2022

IJERPH

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“…As mentioned above, the expert survey method is also referred to as the Delphi method [39]. When the risk evaluation index system is established, various risk impact indexes are firstly selected and listed according to the evaluation objectives.…”

Section: Analysis Of Navigation Risk Factorsmentioning

confidence: 99%

Risk Scenario Evaluation for Intelligent Ships by Mapping Hierarchical Holographic Modeling into Risk Filtering, Ranking and Management

Zhang

Qiao

2022

Sustainability

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To identify and screen the risk scenarios for the navigation risk of intelligent ships, the analysis and evaluation of navigational risks were performed in this study. Risk scenarios were developed and evaluated by mapping the hierarchical holographic modeling (HHM) into risk filtering, ranking and management (RFRM). In detail, considering the insignificant influences of some factors on navigational activities, risk factors were filtered and ranked using the RFRM model. Seven final factors were successfully determined, including traffic flow, navigation environment understanding, ship–shore interaction capabilities, target recognition capabilities, communication equipment reliabilities, professional skills, and situation judgments. The results indicated that cargo security can be guaranteed by following navigational risk identification and screening steps, and thus our findings provide theoretical guidance for the dynamic management of maritime organizations and ship companies. In addition, the proposed methodology is desirable for making predictions on maritime traffic risks.

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“…By using causal modeling techniques, it is possible to determine the causes of past events (Qiao et al, 2021). Those same causes can be useful for mitigating adverse events, hence, provide the possibility to improve the organization's safety performance in maritime transport.…”

Section: Introductionmentioning

confidence: 99%

Simulating Behavior Pattern of Key Performance Indicators to Improve Organization’s Safety Performance in Maritime Transport

Stanivuk

Bartulović

2022

Trans. Marit. Sci.

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Safety performance management is at the core of safety management system (SMS) in any organization. Managing organization's safety performance in maritime transport is achieved through the identification of key performance indicators (KPIs), which are used to monitor and measure safety performance. Aim of this paper is to determine how behavior pattern of key performance indicators (KPIs) in the organization, can be simulated. Methods used for this research include methods of gathering, describing, and analyzing key performance indicators data of sample organization, as well as statistics, causal modeling, and simulation. Results show behavior pattern of key performance indicators (KPIs) in the organization due to causal impact of certain key performance indicator. In conclusion, the simulation showed how causal modeling techniques can be useful to simulate behavior pattern of key performance indicators (KPIs) in the organization in order to improve organization’s safety performance.

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Cognitive Gap and Correlation of Safety-I and Safety-II: A Case of Maritime Shipping Safety Management

Cited by 8 publications

References 58 publications

Barriers Involved in the Safety Management Systems: A Systematic Review of Literature

Barriers Involved in the Safety Management Systems: A Systematic Review of Literature

Risk Scenario Evaluation for Intelligent Ships by Mapping Hierarchical Holographic Modeling into Risk Filtering, Ranking and Management

Simulating Behavior Pattern of Key Performance Indicators to Improve Organization’s Safety Performance in Maritime Transport

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