Quantitative assessment of risk to ship traffic in the fehmarnbelt fixed link project

• Autorzy: Rasmussen F. M. , Glibbery K. A. K. , Melchild K. , Hansen M. G. , Jensen T. K. , Lehn-Schiøler T. , Randrup-Thomsen S.
• Języki publikacji: EN

Abstrakty

EN

Rambøll is on behalf of Femern A/S carrying out navigational studies of the vessel traffic conditions in the Fehmarnbelt in connection with the establishment of a future Fehmarnbelt fixed link, a 19 km long bridge or immersed tunnel connection crossing the Fehmarnbelt. The focus is on documenting safety and efficiency for the vessel traffic when a fixed link is crossing the Fehmarnbelt. Rambøll has developed the ShipRisk software package to perform the quantitative risk assessments in the Fehmarnbelt fixed link project. Focus in this article is on describing the background for estimating frequencies of ship accidents in ShipRisk and describe factors influencing the accident scenarios and present the work performed for testing and verifying the model.

Słowa kluczowe

EN

quantitative risk assessment; QRA; ship collision; ShipRisk; facility safety assessment; FSA; IMO guideline; AIS data

• Wydawca: Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Journal of Polish Safety and Reliability Association
• Rocznik: 2012
• Tom: Vol. 3, No. 1
• Strony: 123--134
• Opis fizyczny: Bibliogr. 29 poz., rys., wykr.

Twórcy

autor

Rasmussen F. M.

• Rambøll, Copenhagen, Denmark

autor

Glibbery K. A. K.

• Rambøll, Copenhagen, Denmark

autor

Melchild K.

• Rambøll, Copenhagen, Denmark

autor

Hansen M. G.

• Rambøll, Copenhagen, Denmark

autor

Jensen T. K.

• Rambøll, Copenhagen, Denmark

autor

Lehn-Schiøler T.

• Rambøll, Copenhagen, Denmark

autor

Randrup-Thomsen S.

• Rambøll, Copenhagen, Denmark

Bibliografia

• [1] Dand, I.W. & Colwill, R.D. (2003). Simulation of Traffic Flows using Dynamic Ship Modelling. Proceedings, International Conference on Marine Simulation and Ship Manoeuvrability. Kanazawa, Japan.
• [2] Debnath, A.K. (2009). Traffic-conflict-based modeling of collision risk in port waters. Singapore: National Univercity of Singapore.
• [3] Fowler, T.G. & Sørgård E. (2000). Modeling Ship Transportation Risk. Risk Analysis, 20(2).
• [4] Froese, J. & Mathes, S. Computer-assisted collision avoidance using ARPA and ECDIS, Deutsche Hydrographische Zeitschrift, Vol. 49, Issue 4, 519-529.
• [5] Hänninen, M. (2008). Analysis of human and organizational factors in marine traffic risk modeling - literature review. SAFGOF. Helsinki University of Technology.
• [6] Hänninen, M. & Kujala, P. (2011). The Effects of Causation Probability on the Ship Collision Statistics in the Gulf of Finland.
• [7] IALA. (2009). The IALA Risk Management Tool for Ports and Restricted Waterways - Edition 2. Saint Germain en Laye.
• [8] Karlsson, M. & Rasmussen, F.M. & Frisk, L. (1998). Verification of Ship Collision Frequency Model. Proceeding of the International Symposium on Advances in Ship Collision Analyses.
• [9] Kite-Powell, H.L., Jin, D., Jebsen, J., Papakonstantinou, V. & Patrikalakis, N. (1999). Investigation of Potential Risk Factors for Groundings of Commercial Vessels in U.S. Ports. International Journal of Offshore and Polar Engineering, 16-21.
• [10] Kristiansen, S. (1990). Risikoanalyse for Marine Systemer, NTH.
• [11] Liu, Y., Yang, C. & Du, X. (2007). A MultiagentBased Simulation System for Ship Collision Avoidance. In D.-S. Huang, L. Heutte, & M. Loog. Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues (Vol. 4681, pp. 316326). Berlin : Springer Berlin / Heidelberg.
• [12] MacDuff, T. (1974). The Probability of Vessel Collisions. Ocean Industry 144-148.
• [13] Mark, R., Virkler & Rajesh Balasubramanian. (1636). Flow Characteristics on Shared Hiking/Biking/ Jogging Trails. Transportation research record 1636.
• [14] Mazaheri, A. (2009). Probabilistic modeling of ship grounding - a review of the literature. Helsinki University of Technology.
• [15] Merrick, J.R., & van Dorp, J.R. (2006). Speaking the Truth in Maritime Risk Assessment. Risk Analysis.
• [16] Nyman, T. (2009). Review of collision and grounding risk analysis methods which can utilize the historical AIS data and traffic patterns in seawaters. Maritime and logistics co-ordination platform SKEMA Coordination Action.
• [17] Otto, S., Pedersen, Preben, T., Samuelidis, M. & Sames, P. (2001). Elements of risk analysis for collision and grounding of a RoRo passenger ferry. Proceedings of 2nd International Conference on Collision and Grounding of Ships.
• [18] Roeleven, D., Kokc, M., Stipdonkd, H., & De Vriese, W. (1995). Inland waterway transport. Modelling the probability of accidents. Safety of Transportation.
• [19] Rothblum, D.A. (2000). Safety, Human Error and Marine Safety. National Safety Council Congress and Expo. Orlando: U.S. Coast Guard Research & Development Center.
• [20] Royal Haskoning. (2006). Port of Melbourne Marine Risk Assessment. Peterborough.
• [21] Simonsen, B.C. (1997). Mechanics of ship grounding. Technical University of Denmark.
• [22] Terndrup Pedersen, P. (1995). Probability of Grounding and Collision Events. Risk and Response, 22nd WEGEMT Graduate School
• [23] The Royal Danish Administration of Navigation and Hydrography, The Danish Maritime Authority and The Swedish Maritime Administration (2006). Navigational safety in the Sound between Denmark and Sweden (Øresund). Risk and cost-benefit analysis. August 2006.
• [24] Thevik, H.J., Sørgård, E. & Fowler, T. (2001). A method for assessing the risk of sea transprotation: Numerical examples for the Oslofjord. Proceedings of the European Conference on safety and Reliability Conference Esrel.
• [25] (TØI), I. o. (2009). Effects of proposed ship routeing off the Norwegian coast.
• [26] Ulusçu, Ö.S., Özbaş, B., Altıok, T., & Or, Đ. (2009). Risk analysis of the transit vessel traffic in the strait of istanbul. Risk Analysis, 29 , 14541472.
• [27] Yahei, Fujii (1983). Integrated Study on Marine Traffic Accidents. IABSE Colloquium Copenhagen 1983.
• [28] Fujii, Y., Yamanouchi, H. & Mizuki, N. (1974). Some factors affecting the frequency of accidents in marine traffic. II – The probability of stranding and III – The effect of darkness on the probability of collision and stranding. J. of navigation, Vol. 27, 235-247.
• [29] Øresundsbro Konsortiet (1999). The Øresund Link. Operational Risk Analysis. ORA-98. March 1999.