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Effects of wind strength and wave height on ship incident risk: regional trends and seasonality

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  • Heij, C.
  • Knapp, S.

Abstract

__Abstract__ Oceanographic conditions like wind strength and wave height affect the risk of shipping incidents. Seasonal variations and trends in these effects are studied for weather-related incidents and pollution incidents, for six major ship types and for six regions across the globe. The employed database of more than five million observations combines information from various sources on oceanographic conditions, ship particulars, and incidents. The magnitude of wind and wave effects is found to vary by ship type, region, season, and period, and most of these effects are larger during autumn and winter season and in recent periods.

Suggested Citation

  • Heij, C. & Knapp, S., 2014. "Effects of wind strength and wave height on ship incident risk: regional trends and seasonality," Econometric Institute Research Papers EI2014-15, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    • Handle: RePEc:ems:eureir:51747
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    References listed on IDEAS

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    1. Vander Hoorn, S. & Knapp, S., 2014. "A multi-layered risk exposure assessment approach for the shipping industry," Econometric Institute Research Papers EI2014-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Franses,Philip Hans & Paap,Richard, 2010. "Quantitative Models in Marketing Research," Cambridge Books, Cambridge University Press, number 9780521143653, October.
    3. Sabine Knapp & Philip Hans Franses, 2007. "A global view on port state control: econometric analysis of the differences across port state control regimes," Maritime Policy & Management, Taylor & Francis Journals, vol. 34(5), pages 453-482, October.
    4. Bijwaard, Govert E. & Knapp, Sabine, 2009. "Analysis of ship life cycles--The impact of economic cycles and ship inspections," Marine Policy, Elsevier, vol. 33(2), pages 350-369, March.
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    More about this item

    Keywords

    shipping incident; pollution; oceanographic risk factors; sample selection bias;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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