Data from Royal Melbourne Institute of Technology University Provide New Insights into Risk Management (Quantitative Risk Assessment of Seafarers’ Nonfatal Injuries Due To Occupational Accidents Based On Bayesian Network Modeling) - Insurance News | InsuranceNewsNet

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August 8, 2019 Newswires
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Data from Royal Melbourne Institute of Technology University Provide New Insights into Risk Management (Quantitative Risk Assessment of Seafarers’ Nonfatal Injuries Due To Occupational Accidents Based On Bayesian Network Modeling)

Insurance Daily News

2019 AUG 08 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- A new study on Risk Management is now available. According to news reporting originating in Melbourne, Australia, by NewsRx journalists, research stated, “Reducing the incidence of seafarers’ workplace injuries is of great importance to shipping and ship management companies. The objective of this study is to identify the important influencing factors and to build a quantitative model for the injury risk analysis aboard ships, so as to provide a decision support framework for effective injury prevention and management.”

Financial supporters for this research include Interdisciplinary Graduate School of Nanyang Technological University (NTU), DHI-NTU (Danish Hydraulic Institute-Nanyang Technological University) Centre, under the umbrella of Nanyang Environment and Water Research Institute of NTU.

The news reporters obtained a quote from the research from the Royal Melbourne Institute of Technology University, “Most of the previous research on seafarers’ occupational accidents either adopts a qualitative approach or applies simple descriptive statistics for analyses. In this study, the advanced method of a Bayesian network (BN) is used for the predictive modeling of seafarer injuries for its interpretative power as well as predictive capacity. The modeling is data driven and based on an extensive empirical survey to collect data on seafarers’ working practice and their injury records during the latest tour of duty, which could overcome the limitation of historical injury databases that mostly contain only data about the injured group instead of the entire population. Using the survey data, a BN model was developed consisting of nine major variables, including ‘PPE availability,’ ‘Age,’ and ‘Experience’ of the seafarers, which were identified to be the most influential risk factors. The model was validated further with several tests through sensitivity analyses and logical axiom test.”

According to the news reporters, the research concluded: “Finally, implementation of the result toward decision support for safety management in the global shipping industry was discussed.”

For more information on this research see: Quantitative Risk Assessment of Seafarers’ Nonfatal Injuries Due To Occupational Accidents Based On Bayesian Network Modeling. Risk Analysis, 2019;():. Risk Analysis can be contacted at: Wiley, 111 River St, Hoboken 07030-5774, NJ, USA. (Wiley-Blackwell - http://www.wiley.com/; Risk Analysis - http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1539-6924)

Our news correspondents report that additional information may be obtained by contacting V.V. Thai, Royal Melbourne Institute of Technology University, School of Business IT & Logistics, 124 La Trobe St, Melbourne, Vic 3000, Australia. Additional authors for this research include G.Z. Zhang, A.W.K. Law, K.F. Yuen, H.S. Loh and Q.J. Zhou.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1111/risa.13374. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

(Our reports deliver fact-based news of research and discoveries from around the world.)

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