Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/162077
Title: Holistic risk assessment of container shipping service based on Bayesian Network Modelling
Authors: Zhou, Yusheng
Li, Xue
Yuen, Kum Fai
Keywords: Engineering::Maritime studies
Issue Date: 2022
Source: Zhou, Y., Li, X. & Yuen, K. F. (2022). Holistic risk assessment of container shipping service based on Bayesian Network Modelling. Reliability Engineering and System Safety, 220, 108305-. https://dx.doi.org/10.1016/j.ress.2021.108305
Project: RS03/19
Journal: Reliability Engineering and System Safety
Abstract: Container shipping makes significant contribution to the global economy and is confronted with various hazards and risks especially during the COVID-19 pandemic. These risks can disrupt resilient container shipping service, leading to further deterioration of the global economy. Hence, it is vital to develop resilient container shipping service, which is associated with being on-time, safe, and hassle-free. Theoretically, this research identifies 28 root risks using the PESTLE framework, conducts risk assessment using a hybrid method comprising failure modes and effects analysis, evidential reasoning, and rule-based Bayesian network. A three-hierarchy Bayesian network model is established. The results reveal that economic, political, and technical risks are the most threatening risks affecting resilient container shipping service. Moreover, the holistic container shipping risk is most sensitive to environmental risks. Managerially, this research provides container shipping companies with guidance of drafting risk mitigation plans with economic risks and political risks as priorities.
URI: https://hdl.handle.net/10356/162077
ISSN: 0951-8320
DOI: 10.1016/j.ress.2021.108305
Rights: © 2021 Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:CEE Journal Articles

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