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Risk analysis of maritime accidents along the main route of the Maritime Silk Road: a Bayesian network approach

Jiang, M, Lu, J, Yang, Z and Li, J (2020) Risk analysis of maritime accidents along the main route of the Maritime Silk Road: a Bayesian network approach. Maritime Policy and Management. ISSN 0308-8839

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Risk analysis of maritime accidents along the main route of the Maritime Silk Road a Bayesian network approach .pdf - Accepted Version
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Abstract

The safety of maritime transportation along the twenty-first century Maritime Silk Road (MSR) is important to ensure its development and sustainability. Maritime transportation poses risks of accidents that can cause the death or injury of crew members and damage to ships and the environment. This paper proposes a Bayesian network (BN) based risk analysis approach that is newly applied in the main route of the MSR to analyse its relevant maritime accidents. The risk data are manually collected from the reports of the accident that occurred along the MSR. Next, the risk factors are identified and the results from the modelling method can provide useful insights for accident prevention. Historical data collected from accident reports are used to estimate the prior probabilities of the identified risk factors influencing the occurrence of maritime accidents. The results show that the main influencing factors are the type and location of an accident and the type, speed, and age of the involved ship(s). In addition, scenario analysis is conducted to analyse the risks of different ships in various navigational environments. The findings can be used to analyse the probability of each possible maritime accident along MSR and to provide useful insights for shipowners’ accident prevention.

Item Type: Article
Additional Information: This is an Accepted Manuscript of an article published by Taylor & Francis in Maritime Policy and Management on 21/02/2020, available online: http://www.tandfonline.com/10.1080/03088839.2020.1730010
Uncontrolled Keywords: 16 Studies in Human Society, 15 Commerce, Management, Tourism and Services, 14 Economics
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management
H Social Sciences > HE Transportation and Communications
Divisions: Maritime & Mechanical Engineering
Publisher: Taylor & Francis
Related URLs:
Date Deposited: 17 Mar 2020 12:56
Last Modified: 17 Mar 2020 12:56
DOI or Identification number: 10.1080/03088839.2020.1730010
URI: http://researchonline.ljmu.ac.uk/id/eprint/12525

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