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A multi-layered risk exposure assessment approach for the shipping industry

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Listed:
  • Vander Hoorn, S.
  • Knapp, S.

Abstract

__Abstract__ Shipping activity has increased worldwide and maritime administrations are trying to enhance risk mitigation strategies by using proactive approaches. We present and discuss a conceptual framework to minimize potential harm based on a multi-layered approach which can be implemented in either real time for operational purposes or in prediction mode for medium or longer term strategic planning purposes. We introduce the concept of total risk exposure which integrates risk at the individual ship level with vessel traffic densities and location specific parameters such as weather and oceanographic conditions, geographical features or environmental sensitivities. A comprehensive and robust method to estimate and predict risk exposure can be beneficial to maritime administrations to enhance mitigation strategies and understand uncertainties. We further provide a proof of concept based on 53 million observations of vessel positions and individual risk profiles of 8,900 individual ships. We present examples on how endpoints can be visualized for two integrated risk layers – ship specific risk and vessel traffic densities. We further identify and discuss uncertainties and present our ideas on how other risk layers could be integrated in the future.

Suggested Citation

  • 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.
  • Handle: RePEc:ems:eureir:51748
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    References listed on IDEAS

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    1. 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.
    2. Carey, J.M. & Knapp, S. & Irving, P., 2014. "Assessing ecological sensitivities of marine assets to oil spill by means of expert knowledge," Econometric Institute Research Papers EI2014-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
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    Cited by:

    1. 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.

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    More about this item

    Keywords

    econometrics; shipping industry;

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General

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