Bayesian network modelling and analysis of accident severity in waterborne transportation: A case study in China

Likun Wang and Zaili Yang

Reliability Engineering and System Safety, 2018, vol. 180, issue C, 277-289

Abstract: The rapid development of the shipping industry requires the use of large vessels carrying high-volume cargoes. Accidents incurred by these vessels can lead to a heavy loss of life and damage to the environment and property. As a leading country in international trade, China has developed its waterway transport systems, including inland waterways and coastal shipping, in the past decades. A few catastrophic shipping accidents have occurred during this period. This paper aims to develop a new risk analysis approach based on Bayesian networks (BNs) to enable the analysis of accident severity in waterborne transportation. Although the risk data are derived from accidents that occurred in China's waters, the risk factors influencing accident severity and the risk modelling methodology are generic and capable of generating useful insights on waterway risk analysis in a broad sense.

Date: 2018
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Citations: View citations in EconPapers (33)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:180:y:2018:i:c:p:277-289

DOI: 10.1016/j.ress.2018.07.021

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