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Determinants of the severity of passenger vessel accidents

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  • Wayne K. Talley
  • Di Jin
  • Hauke Kite-Powell

Abstract

This study investigates determinants of the number of injured, deceased and missing occupants and the damage cost of passenger vessel accidents that were investigated by the US Coast Guard for the years 1991--2001. Negative binomial and Poisson regression estimates suggest that: (1) passenger-freight combination vessel accidents incur greater injuries than other types of passenger vessels, (2) deaths are greater when precipitation weather and poor visibility exist and (3) missing occupants are greater for capsize accidents and larger the vessel. The damage cost per vessel gross ton is less for ocean cruise and steel-hulled vessels. The major conclusion of the study is that human (as opposed to environmental and vessel) causes of passenger vessel accidents result in increases in the number of injured, deceased and missing occupants.

Suggested Citation

  • Wayne K. Talley & Di Jin & Hauke Kite-Powell, 2006. "Determinants of the severity of passenger vessel accidents," Maritime Policy & Management, Taylor & Francis Journals, vol. 33(2), pages 173-186, May.
    • Handle: RePEc:taf:marpmg:v:33:y:2006:i:2:p:173-186
    DOI: 10.1080/03088830600612971
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    References listed on IDEAS

    as
    1. Marti, Bruce E., 2004. "Trends in world and extended-length cruising (1985-2002)," Marine Policy, Elsevier, vol. 28(3), pages 199-211, May.
    2. Wayne Talley, 1999. "The safety of sea transport: determinants of crew injuries," Applied Economics, Taylor & Francis Journals, vol. 31(11), pages 1365-1372.
    3. Wayne K. Talley, 2002. "The safety of ferries: an accident injury perspective," Maritime Policy & Management, Taylor & Francis Journals, vol. 29(3), pages 331-338.
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    Cited by:

    1. Wu, Bing & Yip, Tsz Leung & Yan, Xinping & Guedes Soares, C., 2022. "Review of techniques and challenges of human and organizational factors analysis in maritime transportation," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    2. Çakır, Erkan & Fışkın, Remzi & Sevgili, Coşkan, 2021. "Investigation of tugboat accidents severity: An application of association rule mining algorithms," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    3. Wang, Huanxin & Liu, Zhengjiang & Wang, Xinjian & Graham, Tony & Wang, Jin, 2021. "An analysis of factors affecting the severity of marine accidents," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    4. Zhou, Kaiwen & Xing, Wenbin & Wang, Jingbo & Li, Huanhuan & Yang, Zaili, 2024. "A data-driven risk model for maritime casualty analysis: A global perspective," Reliability Engineering and System Safety, Elsevier, vol. 244(C).

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