Skip to main content
Springer Nature Link
Log in

Hazard Index for Assessment of Reliability of Supply and Risk in Maritime Domain

  • Conference paper
  • First Online:
Business Information Systems Workshops (BIS 2017)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 303))

Included in the following conference series:

  • 969 Accesses

Abstract

The paper presents a method that concerns the problem of determining a hazard level for various maritime areas based on selected risk factors. These factors reflect hazards that may happen on the route of a given ship and thus may potentially influence on reliability of supply and level of maritime risk for the ship. The results of the method can be helpful in a process of planning a ship’s voyage as well as when the transport service is already being realized in order to assess its reliability.

The aim of the article is to propose hazards which may be taken into account while assessing the reliability and risk of maritime transport, and present how they can be included in the process of risk assessment in a form of hazard index. The paper presents results for the proposed method, showing how the hazard index is calculated for different maritime areas and its evaluation based on examples of ship’s routes.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    A country means in this case Exclusive Economic Zone belonging to a given country.

  2. 2.

    https://gisis.imo.org.

  3. 3.

    http://www.tokyo-mou.org/.

  4. 4.

    https://www.parismou.org.

  5. 5.

    In the presented approach the default value for the size of a sector can be adjusted. It means that all measures can be calculated for both smaller or bigger sectors/areas.

  6. 6.

    Both increasing factors can be changed and adjusted if needed.

References

  1. Krzysztof, F., Sokołowski, W.: Środki transportu morskiego w zapewnieniu bezpieczeństwa dostaw gazu ziemnego. Logistyka (5), 401–411 (2012)

    Google Scholar 

  2. Lam, J.: Rough set approach to marine cargo risk analysis. In: International Forum on Shipping, Ports and Airports (IFSPA) 2012: Transport Logistics for Sustainable Growth at a New Level, pp. 1–12 (2012)

    Google Scholar 

  3. Jarysz-Kamińska, E.: Ocena ryzyka w transporcie morskim. Logistyka (6), 238–246 (2013)

    Google Scholar 

  4. Gaonkar, R.S.P., Xie, M., Ng, K.M., Habibullah, M.S.: Subjective operational reliability assessment of maritime transportation system. Expert Syst. Appl. 38(11), 13835–13846 (2011)

    Google Scholar 

  5. Abramowicz-Gerigk, T., Burciu, Z., Kamiński, P.: Kryteria akceptowalności ryzyka w żegludze morskiej. Prace Naukowe Politechniki Warszawskiej. Transport (96), 7–17 (2013)

    Google Scholar 

  6. Andler, S.F., Fredin, M., Gustavsson, P.M., van Laere, J., Nilsson, M., Svenson, P.: SMARTracIn: a concept for spoof resistant tracking of vessels and detection of adverse intentions, vol. 7305, pp. 73050G–73050G-9 (2009)

    Google Scholar 

  7. Bouejla, A., Chaze, X., Guarnieri, F., Napoli, A.: A Bayesian network to manage risks of maritime piracy against offshore oil fields. Saf. Sci. 68, 222–230 (2014)

    Article  Google Scholar 

  8. Balmat, J.F., Lafont, F., Maifret, R., Pessel, N.: MAritime RISk Assessment (MARISA), a fuzzy approach to define an individual ship risk factor. Ocean Eng. 36(15–16), 1278–1286 (2009)

    Article  Google Scholar 

  9. Patrick, G., Davies, H., Baldacci, A., den Breejen, E.: The Addition of Near Real Time data and Forecast data. Deliverable of ProMerc project (2015). http://www.promerc.eu

  10. el Pozo, F., Dymock, A., Feldt, L., Hebrard, P., di Monteforte, F.S.: Maritime surveillance in support of CSDP. Technical report, European Defence Agency (2010)

    Google Scholar 

  11. INFORM - Index for risk management. http://www.inform-index.org/

  12. The Basel AML Index. https://index.baselgovernance.org

  13. World Risk Index. http://collections.unu.edu/view/UNU:5763

  14. International Maritime Organization: Global Integrated Shipping Information System. Regional analysis of reports on acts of piracy and armed robbery, On-line database (2014)

    Google Scholar 

  15. Venable, J., Pries-Heje, J., Baskerville, R.: FEDS: a framework for evaluation in design science research. Eur. J. Inf. Syst. 25(1), 77–89 (2016)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Poznań University of Economics and Business, Poznań, Poland

    Milena Stróżyna

Authors
  1. Milena Stróżyna
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Milena Stróżyna .

Editor information

Editors and Affiliations

  1. Poznań University of Economics and Business, Poznań, Poland

    Witold Abramowicz

A Appendix

A Appendix

Table 4. Accident, piracy and country risk values for selected maritime sectors (areas)
Full size table
Table 5. Hazard index for selected maritime sectors (areas)
Full size table

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Stróżyna, M. (2017). Hazard Index for Assessment of Reliability of Supply and Risk in Maritime Domain. In: Abramowicz, W. (eds) Business Information Systems Workshops. BIS 2017. Lecture Notes in Business Information Processing, vol 303. Springer, Cham. https://doi.org/10.1007/978-3-319-69023-0_20

Download citation

Publish with us

Policies and ethics