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Generalized F distribution model with random parameters for estimating property damage cost in maritime accidents

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  • Jinxian Weng
  • Dong Yang
  • Gang Du

Abstract

This study develops a generalized F distribution model with random parameters to estimate the ship property damage cost in maritime traffic accidents with 10 years’ shipping accident data in the Fujian waters. Model results show that sinking and capsizing can incur the largest property damage cost, followed by collisions, contact, grounding and fire/explosion. There is a smaller ship property damage cost when the ship is moored or docked. The poor visibility has the least impact on the increment of ship property damage cost. Results reveal that the bigger property damage cost is associated with maritime accidents occurring in the Straits/sea areas and under the strong wind/wave condition and nighttime periods. It is also found that the lookout failure exhibits a bigger effect than the operation error. These results are helpful for policy makers to make efficient strategies for reducing property damage cost in maritime accidents. The developed model is useful for insurance companies in determining the appropriate ship insurance rates.

Suggested Citation

  • Jinxian Weng & Dong Yang & Gang Du, 2018. "Generalized F distribution model with random parameters for estimating property damage cost in maritime accidents," Maritime Policy & Management, Taylor & Francis Journals, vol. 45(8), pages 963-978, November.
    • Handle: RePEc:taf:marpmg:v:45:y:2018:i:8:p:963-978
    DOI: 10.1080/03088839.2018.1475760
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    Cited by:

    1. Zhou, Yusheng & Li, Xue & Yuen, Kum Fai, 2022. "Holistic risk assessment of container shipping service based on Bayesian Network Modelling," Reliability Engineering and System Safety, Elsevier, vol. 220(C).

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