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Research on Accident Causing Chains with Bayesian Networks on Waterborne Engineering

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Green, Smart and Connected Transportation Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 617))

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Abstract

The accident mechanism is established to strengthen the safety management and reduce accidents of waterborne transport projects combined with security science. Basing on “2-4” model theory, this mechanism analyzes the influences on the security of waterborne projects construction. The impact factors include personal behaviors, project management and environment. We calculate the probability of each factor with Bayesian network and rank them as they contribute the accident. According to the probability, prevention measure and security management methods can be made to reduce accidents.

This paper is based on National Key R&D Program: 2017YFC0805300.

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Correspondence to Junyong Wang or Yongrui Wen .

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Wang, J., Wen, Y. (2020). Research on Accident Causing Chains with Bayesian Networks on Waterborne Engineering. In: Wang, W., Baumann, M., Jiang, X. (eds) Green, Smart and Connected Transportation Systems. Lecture Notes in Electrical Engineering, vol 617. Springer, Singapore. https://doi.org/10.1007/978-981-15-0644-4_70

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  • DOI: https://doi.org/10.1007/978-981-15-0644-4_70

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0643-7

  • Online ISBN: 978-981-15-0644-4

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