Abrahamsen, E. B. and Aven, T. (2011). Safety oriented bubble diagrams in project risk management. International Journal of Performability Engineering, 7(1), 91–96.Google Scholar

Abrahamsen, E. B., Aven, T. and Røed, W. (2010). Communication of cost-effectiveness of safety measures by use of a new visualizing g tool, Reliability & Risk Analysis: Theory & Applications, 2(4), 38–46.Google Scholar

Abramson, L. R. (1981). Some misconceptions about the foundations of risk analysis. Risk Analysis, 1, 229–230.CrossRefGoogle Scholar

Ale, B. J. M. (2002). Risk assessment practices in The Netherlands. Safety Science, 40:105–126.CrossRefGoogle Scholar

Ale, B., Bellamy, L. J., Boom, R.et al. (2009). Further development of a Causal model for Air Transport Safety (CATS): Building the mathematical heart. Reliability Engineering and System Safety, 94, 1433–1441.CrossRefGoogle Scholar

Anoop, M. B. and Rao, K. B. (2008). Determination of bounds on failure probability in the presence of hybrid uncertainties. Sadhana, 33, 753–765.CrossRefGoogle Scholar

Apostolakis, G. E. (1990) The concept of probability in safety assessments of technological systems. Science, 250, 1359–1364.CrossRefGoogle ScholarPubMed

Apostolakis, G. E. (ed.) (1988). Reliability Engineering and System Safety, 23.CrossRef

Apostolakis, G. E. (1990). The concept of probability in safety assessments of technological systems. Science, 250, 1359–1364.CrossRefGoogle ScholarPubMed

Apostolakis, G. E. (2004). How useful is quantitative risk assessment?Risk Analysis, 24, 515–520.CrossRefGoogle ScholarPubMed

Apostolakis, G. E. and Pickett, S. E. (1998). Deliberation: Integrating analytical results into environmental decisions involving multiple stakeholders, Risk Analysis, 18(5), 621–634.CrossRefGoogle Scholar

,AS/NZS 4360 (2004). Australian/New Zealand Standard: Risk management.Google Scholar

Aven, T. (1986) Formulae for the average unavailability (MFDT) of a coherent system with periodically tested components. Microelectronics and Reliability, 26, 283–288.CrossRefGoogle Scholar

Aven, T. (1992). Reliability and Risk Analysis. London: Elsevier.CrossRefGoogle Scholar

Aven, T. (2003). Foundations of Risk Analysis. New Jersey: Wiley.CrossRefGoogle Scholar

Aven, T. (2004). Risk analysis and science. International Journal of Reliability, Quality and Safety Engineering, 11, 1–15.CrossRefGoogle Scholar

Aven, T. (2006). On the precautionary principle, in the context of different perspectives on risk. Risk Management: an International Journal, 8, 192–205.CrossRefGoogle Scholar

Aven, T. (2007a). A unified framework for risk and vulnerability analysis and management covering both safety and security. Reliability Engineering and System Safety, 92, 745–754.CrossRefGoogle Scholar

Aven, T. (2007b). On the ethical justification for the use of risk acceptance criteria. Risk Analysis, 27, 303–312.CrossRefGoogle ScholarPubMed

Aven, T. (2008a). Risk Analysis, New Jersey: Wiley.CrossRefGoogle Scholar

Aven, T. (2008b). A semi-quantitative approach to risk analysis, as an alternative to QRAs. Reliability Engineering and System Safety, 93, 768–775.CrossRefGoogle Scholar

Aven, T. (2009a). Perspectives on risk in a decision-making context – Review and discussion. Safety Science, 47, 798–806.CrossRefGoogle Scholar

Aven, T. (2009b). Safety is the antonym of risk for some perspectives of risk. Safety Science, 47, 925–930.CrossRefGoogle Scholar

Aven, T. (2009c). A new scientific framework for quantitative risk assessmentsInternational Journal of Business Continuity and Risk Management, 1(1), 67–77.CrossRefGoogle Scholar

Aven, T. (2010a). Misconceptions of Risk, Chichester: Wiley.CrossRefGoogle Scholar

Aven, T. (2010b). Some reflections on uncertainty analysis and management. Reliability Engineering and System Safety, 95, 195–201.CrossRefGoogle Scholar

Aven, T. (2010c). On the need for restricting the probabilistic analysis in risk assessments to variability. Risk Analysis, 30(3), 354–360.CrossRefGoogle ScholarPubMed

Aven, T. (2010d). Reply to discussants on “The need for restricting the probabilistic analysis in risk assessments to variability”. Risk Analysis, 30 (3), 381–384.CrossRefGoogle Scholar

Aven, T. (2010e). On how to define, understand and describe risk. Reliability Engineering and System Safety. 95, 623–631.CrossRefGoogle Scholar

Aven, T. (2010f). A holistic framework for conceptualising and describing risk. In Proceedings SSARS conference, Gdansk 20–25 June, 2010.Google Scholar

Aven, T. (2010g). On different types of uncertainties in the context of the precautionary principle. Revised and resubmitted Risk Analysis.

Aven, T. (2010h). Selective critique of risk assessments with recommendations for improving methodology and practice. Revised and resubmitted Reliability Engineering and System Safety.

Aven, T. (2010i). Shaky foundations: common misconceptions in risk assessment and management, and ideas for fixing them. Revised and resubmitted Risk Analysis.

Aven, T. (2011). On some recent definitions and analysis frameworks for risk, vulnerability and resilience. Risk Analysis. To appear.CrossRef

Aven, T. and Abrahamsen, E. B. (2007). On the use of cost-benefit analysis in ALARP processes. International Journal of Performability Engineering, 3, 345–353.Google Scholar

Aven, T., Asche, F., Lindøe, P., Toft, A., Wiencke, H. S. (2010). A framework for decision support on HSE regulations, Como, Italy: SRA Europe. 2005. In Risks Challenging Publics, Scientists and Governments, ed. Menoni, S.. London: CRC Press, pp. 49–56.CrossRefGoogle Scholar

Aven, T. and Flage, R. (2009). Use of decision criteria based on expected values to support decision-making in a production assurance and safety setting. Reliability Engineering and System Safety. 94, 1491–1498.CrossRefGoogle Scholar

Aven, T. and Guikema, S. (2010) Whose uncertainty assessments (probability distributions) does a risk assessment report: the analysts' or the experts'? Paper revised and resubmitted to Reliability Engineering and System Safety.

Aven, T. and Heide, B. (2009). Reliability and validity of risk analysis. Reliability Engineering and System Safety, 94, 1862–1868.CrossRefGoogle Scholar

Aven, T. and Jensen, U. (1999). Stochastic Models in Reliability, New York: Springer.CrossRefGoogle Scholar

Aven, T. and Nøkland, T. E. (2010). On the use of uncertainty importance measures in reliability and risk analysis. Reliability Engineering and System Safety, 95, 127–133.CrossRefGoogle Scholar

Aven, T. and Renn, O. (2009a). On risk defined as an event where the outcome is uncertain. Journal of Risk Research, 12, 1–11.CrossRefGoogle Scholar

Aven, T. and Renn, O. (2009b). The role of quantitative risk assessments for characterizing risk and uncertainty and delineating appropriate risk management options, with special emphasis on terrorism risk. Risk Analysis, 29, 587–600.CrossRefGoogle ScholarPubMed

Aven, T. and Renn, O. (2011) Risk Management and Governance. New York: Springer.Google Scholar

Aven, T., Renn, O. and Rosa, E. (2010) The ontological status of the concept of risk. Paper submitted for possible publication.

Aven, T. and Vinnem, J. E. (2007). Risk Management, with Applications from the Offshore Oil and Gas Industry, New York: Springer.Google Scholar

Aven, T., Vinnem, J. E. and Røed, W. (2006). On the use of goals, quantitative criteria and requirements in safety management. Risk Management: an International Journal, 8, 118–132.CrossRefGoogle Scholar

Aven, T. and Zio, E. (2011). Treatment of uncertainties in risk assessment for practical decision-making. Accepted for publication in Reliability Engineering and System Safety, 96, 64–74.CrossRef

Baraldi, P. and Zio, E. (2008) A combined Monte Carlo and possibilistic approach to uncertainty propagation in event tree analysis. Risk Analysis, 28 (5), 1309–1325.CrossRefGoogle ScholarPubMed

Bedford, T. and Cooke, R. (2001). Probabilistic Risk Analysis, Cambridge: Cambridge University Press.CrossRefGoogle Scholar

Berenson, M. L., Levine, D. M. and Rindskopf, (1988). Applied Statistics, New Jersey: Prentice Hall.Google Scholar

Berger, J. (1994). An overview of robust Bayesian analysis. Test, 3, 5–124.CrossRefGoogle Scholar

Bergman, B. (2009). Conceptualistic pragmatism: a framework for Bayesian analysis?IIE Transactions, 41, 86–93.CrossRefGoogle Scholar

Bernardo, J. and Smith, A. (1994). Bayesian Theory. New York: Wiley.CrossRefGoogle Scholar

Bernoulli, J. (1713) Wahrrscheinlichkeitsrechnung, third and fourth parts, Ostwald, 506. Quarterly J. of Economics. Klassiker der exakten Wissenschaften, 108, 1896, Leipzig, translation of “ars conjectandi,” published in 1713.Google Scholar

,Cabinet Office (2002). Risk: improving government's capability to handle risk and uncertainty. Strategy unit report. UK.

Campbell, S. (2005). Determining overall risk. Journal of Risk Research, 8, 569–581.CrossRefGoogle Scholar

Carpi, A. and Egger, A. E. (2003) The Scientific Method. Visionlearning Vol. SCI-1 (1), 2003. www.visionlearning.com/library/module_viewer.php?mid=45. Accessed 3 March 2010.Google Scholar

Cooke, R. M. (1991). Experts in Uncertainty: Opinion and Subjective Probability in Science. New York: Oxford University Press.Google Scholar

Coolen, F. P. A. and Utkin, L. V. (2007). Imprecise reliability: A concise overview. In Risk, Reliability and Societal Safety, eds. Aven, T. and Vinnem, J. E., Proceedings of the European Safety and Reliability Conference 2007 (ESREL 2007), Stavanger, Norway, 25–27 June 2007. London: Taylor & Francis Group, pp. 1959–1966.Google Scholar

Cumming, R. B. (1981). Is Risk Assessment A Science?Risk Analysis, 1, 1–3.CrossRefGoogle Scholar

Finetti, B. (1974). Theory of Probability, New York: Wiley.Google Scholar

Laplace, P. S. (1814). Theorie analytique des probabilities. Paris: Courcier Imprimeur.Google Scholar

Dempster, A. (1967). Upper and lower probabilities induced by a multivalued mapping. Annals of Mathematical Statistics, 38, 325–339.CrossRefGoogle Scholar

Rocquigny, E., Devictor, N. and Tarantola, S. (eds.) (2008). Uncertainty in Industrial Practice. A guide to quantitative uncertainty management. New Jersey: Wiley.CrossRefGoogle Scholar

Devooght, J. (1998). Model uncertainty and model inaccuracy. Reliability Engineering and System Safety, 59, 171–185.CrossRefGoogle Scholar

Douglas, E. J. (1983). Managerial Economics: Theory, Practice and Problems, 2nd edn. New Jersey: Prentice Hall.Google Scholar

Dubois, D. (2006). Possibility theory and statistical reasoning. Computational Statistics and Data Analysis, 51, 47–69.CrossRefGoogle Scholar

Dubois, D. (2010). Representation, propagation and decision issues in risk analysis under incomplete probabilistic information. Risk Analysis, 30, 361–368.CrossRefGoogle ScholarPubMed

Dubois, D. and Prade, H. (1988). Possibility Theory. New York: Plenum Press.CrossRefGoogle Scholar

Dubois, D., Prade, H. and Sandri, S. (1993). On possibility/probability transformations. In Fuzzy Logic: State of the Art, eds. Lowen, R. and Roubens, M.. Dordrecht: Kluwer Academic Publishers. pp. 103–112.CrossRefGoogle Scholar

Ersdal, G. and Aven, T. (2008). Risk management and its ethical basis. Reliability Engineering and System Safety, 93, 197–205.CrossRefGoogle Scholar

,European Commission/Health and Consumer Protection Directorate General, Directorate C (2000). Scientific Opinions: First Report on the Harmonisation of Risk Assessment Procedures, EU, Brussels.Google Scholar

,European Commission (2003). Final Report on Setting the Scientific Frame for the Inclusion of New Quality of Life Concerns in the Risk Assessment Process, EU, Brussels.Google Scholar

Ferson, S. and Ginzburg, L. R. (1996). Different methods are needed to propagate ignorance and variability. Reliability Engineering and System Safety, 54, 133–144.CrossRefGoogle Scholar

Flage, R. and Aven, T. (2009). Expressing and communicating uncertainty in relation to quantitative risk analysis (QRA). Reliability & Risk Analysis: Theory & Applications, 2(13), 9–18.Google Scholar

Flage, R., Aven, T. and Zio, E. (2009) Alternative representations of uncertainty in reliability and risk analysis – review and discussion. In Safety, Reliability and Risk Analysis. Theory, Methods and Applications, eds. Martorell, S., Soares, C. Guedes and Barnett, J., Proceedings of the European Safety and Reliability Conference 2008 (ESREL 2008), Valencia, Spain, 22–25 September 2008. London: CRC Press pp. 2081–2091.Google Scholar

Flage, R., Baraldi, P., Ameruso, F., Zio, E. & Aven, T. (2010). Handling epistemic uncertainties in fault tree analysis by probabilistic and possibilistic approaches. In Reliability, Risk and Safety: Theory and Applications, eds. Bris, R., Soares, C. Guedes and Martorell, S. Supplement Proceedings of the European Safety and Reliability Conference 2009 (ESREL 2009), Prague, Czech Republic, 7–10 September 2009.Google Scholar

Granger Morgan, M. and Henrion, M. (1990) Uncertainty. A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis. Cambridge: Cambridge University Press.CrossRefGoogle Scholar

Garrick, B. J. (2010). Interval analysis versus probabilistic analysis. Risk Analysis, 3, 369–70.CrossRefGoogle Scholar

Graham, J. D. (1995). Verifiability isn't everything. Risk Analysis, 15, 109.CrossRefGoogle Scholar

Guikema, S. and Aven, T. (2010) Is ALARP applicable to the management of terrorist risks?Reliability Engineering and System Safety, 95, 823–827.CrossRefGoogle Scholar

Gärdenfors, P. and Sahlin, N -E. (1988). Unreliable probabilities, risk taking, and decision making. In Decision, Probability, and Utility, eds. Gärdenfors, P. and Sahlin, N -E.. Cambridge: Cambridge University Press, pp. 313–334.CrossRefGoogle Scholar

Haimes, Y. Y. (2004). Risk Modelling, Assessment, and Management, 2nd edn. New Jersey: Wiley.CrossRefGoogle Scholar

Hamada, M. S., Wilson, A. G., Reese, C. S. and Martz, H. F. (2008). Bayesian Reliability. New York: Springer.CrossRefGoogle Scholar

Helton, J. C. (1994). Treatment of uncertainty in performance assessments for complex systems. Risk Analysis, 14, 483–511.CrossRefGoogle Scholar

Helton, J. C., Johnson, J. D., Sallaberry, C. J. and Storlie, C. B. (2006). Survey of sampling-based methods for uncertainty and sensitivity analysis. Reliability Engineering and System Safety, 91, 1175–1209.CrossRefGoogle Scholar

Hertz, D. B. and Thomas, H. (1983). Risk Analysis and its Applications. Chichester: Wiley.Google Scholar

,HSE (2001). Reducing Risk, Protecting People. HSE Books, ISBN 0 71762151 0.Google Scholar

,HSE (2006). Offshore Installations (Safety Case) Regulations 2005 regulation 12 demonstrating compliance with the relevant statutory provisions.

,HSE (2000). Offshore Hydrocarbon Release Statistics, 1999, Offshore Technology Report OTO 079, HSE Offshore Safety Division (OSD), January 2000.

Hollnagel, E. (2004) Barriers and Accident Prevention, Aldershot: Ashgate.Google Scholar

Hollnagel, E., Woods, D. D. and Leveson, N., eds. (2006). Resilience Engineering, Concepts and Precepts. Burlington: Ashgate.Google Scholar

Holton, G. A. (2004). Defining risk. Financial Analysis Journal, 60, 19–25.CrossRefGoogle Scholar

,House of Lords (2006). Government Policy on the Management of Risk. Volume 1: Report. London: The Stationery Office.Google Scholar

Huber, W. A. (2010). Ignorance Is Not Probability. Risk Analysis, 3, 371–376.CrossRefGoogle Scholar

,IAEA (International Atomic Energy Agency) (1995). Guidelines for Integrated Risk Assessment and Management in Large Industrial Areas, Technical Document: IAEA–TECDOC PGVI–CIJV, IAEA, Vienna.Google Scholar

,IEC (1993). Guidelines for Risk Analysis of Technological Systems, Report IEC–CD (Sec) 381 issued by Technical Committee QMS/23, European Community, Brussels.Google Scholar

,IPCC Fourth Assessment Report, Climate Change (2007). Geneva, Switzerland. www.ipcc.ch/publications_and_data/publications_ipcc_fourth_assessment_report_synthesis_report.htm. Accessed 23 April 2010.Google Scholar

IPCS and WHO (World Health Organization) (2004). Risk Assessment Terminology, Geneva: WHO.Google Scholar

IRGC (International Risk Governance Council) (2005). Risk Governance – Towards an Integrative Approach, White Paper no 1, O. Renn with an Annex by Graham, P., Geneva: IRGC.Google Scholar

,ISO (2002). Risk Management Vocabulary. ISO/IEC Guide 73.Google Scholar

,ISO (2009a). Risk Management – Vocabulary. Guide 73:2009.Google Scholar

,ISO (2009b). Risk Management – Principles and guidelines, ISO 31000:2009.Google Scholar

Jones-Lee, M. and Aven, T. (2009). The role of social cost-benefit analysis in societal decision-making under large uncertainties with application to robbery at a cash depot. Reliability Engineering and System Safety, 94 (2009) 1954–1961.CrossRefGoogle Scholar

Jones-Lee, M. and Aven, T. (2010). What does the ALARP principle really mean? Revised and resubmitted Reliability Engineering and System Safety.

Kahneman, D. and Tversky, A. (1974). Judgment under uncertainty. Heuristics and biases. Science, 185, 1124–1131.Google Scholar

KaminskiJr., J., Riera, J. D., Menezes, R. C. R., Miguel, L. F. F. (2008). Model uncertainty in the assessment of transmission line towers subjected to cable rupture. Engineering Structures, 30, 2935–2944.CrossRefGoogle Scholar

Kaplan, S. (1991). Risk assessment and risk management – basic concepts and terminology. In Risk Management: Expanding Horizons in Nuclear Power and Other Industries. Boston, MA: Hemisphere Publishing Corporation, pp. 11–28.Google Scholar

Kaplan, S. and Garrick, B. J. (1981). On the quantitative definition of risk. Risk Analysis, 1, 11–27.CrossRefGoogle Scholar

Keeney, R. L. and McDaniels, T. (2001). A Framework to guide thinking and analysis regarding climate change policies, Risk Analysis, 6 (12), 989–1000.CrossRefGoogle Scholar

Kettunen, P. (1998). Globalisation and the Criteria of “Us” – A Historical Perspective on the Discussion of the Nordic Model and New Challenges, in Global Redefining of Working Life, Nordic Council of Ministers, Copenhagen.Google Scholar

Knight, F. H. (1921). Risk, Uncertainty and Profit. Washington DC: Beard Books. Reprinted 2002.Google Scholar

Kröger, W. (2005). Risk analyses and protection strategies for operation of nuclear power plants. In Landolt-Börnstein New Series Vol. VIII/3B: Advanced Materials and Technologies/Energy. Berlin: Springer.Google Scholar

Kröger, W. (2006). Reflections on current and future nuclear safety, ATW-International Journal for Nuclear Power, 51, July, 331–337.Google Scholar

Kujawski, E. and Miller, G. A. (2007). Quantitative risk-based analysis for military counterterrorism systems. Systems Engineering, 10, 273–289.CrossRefGoogle Scholar

Kumamoto, H. (2007). Satisfying Safety Goals by Probabilistic Risk Assessment. London: Springer.Google Scholar

Kørte, J., Aven, T. and Rosness, R., 2002. On the use of risk analysis in different decision settings. In Proceedings from the ESREL 2002 Conference, 19–20, March, Lyon, France, vol. I, pp. 175–180.Google Scholar

Lauridsen, K., Christou, M., Amendola, A.et al. (2001). Assessing the uncertainties in the process of risk analysis of chemical establishments. In Safety and Reliability. Towards a Safer World, eds Zio, E., Demichela, M. and Piccinini, N., Proceedings. Vol. I. ESREL 2001, Torino (IT), 16–20 Sep 2001. pp. 592–606.Google Scholar

Leveson, N. (2004) A new accident model for engineering safer systems. Safety Science, 42, 237–270.CrossRefGoogle Scholar

Leveson, N. (2007) Modeling and Analyzing Risk in Complex Socio-Technical Systems. NeTWork workshop, Berlin27–29 Sept. 2007.Google Scholar

Levy, H. and Sarnat, M. (1994). Capital Investment and Financial Decisions. 5th edn. New Jersey: Prentice Hall.Google Scholar

Lindley, D. (1985). Making Decisions. New York: Wiley.Google Scholar

Lindley, D. V. (2000). The philosophy of statistics. The Statistician, 49, 293–337. With discussions.Google Scholar

Lindley, D. V. (2006). Understanding Uncertainty. New Jersey: Wiley.CrossRefGoogle Scholar

Lindley, D. V., Tversky, A. and Brown, R. V. (1979). On the reconciliation of probability assessments (with discussion). Journal of the Royal Statistical Society A, 142, 146–180.CrossRefGoogle Scholar

Lirer, L., Petrosino, P. and Alberico, I. (2001) Hazard assessment at volcanic fields: the Campi Flegrei case history. Journal of Volcanology and Geothermal Research, 112, 53–73.CrossRefGoogle Scholar

Lowrance, W. (1976). Of Acceptable Risk – Science and the Determination of Safety. Los Altos, CA: William Kaufmann Inc.Google Scholar

Luxhøj, J. T., Choopavang, A. and Arendt, D. N. (2001). Risk Assessment of Organizational Factors in Aviation Systems. Air Traffic Control Quarterly, 9 (3), 135–174.CrossRefGoogle Scholar

,Lyse (2007). Capra, G., Cleaver, P., Chester, A. and Phillips, A. QRA of the proposed Lyse Gass LNG base load export terminal, Advantica, R100-PB-S-SR0001, 11.04.2007.

,Lyse (2008). Quantitative risk analysis (QRA) Lyse LNG base load plant Train 1, Linde, R100-LE-S-RS0003, 25.08.2007.

Löfstedt, R. E. (2003). The precautionary principle: risk, regulation and politics. Trans IchemE, 81, 36–43.CrossRefGoogle Scholar

Mandel, D. (2007). Toward a concept of risk for effective military decision making. Defence R&D Canada – Toronto. Technical Report. DRDC Toronto TR2007–124.Google Scholar

Michaels, D. (2008). Doubt is their Product. New York: Oxford University Press.Google Scholar

Mohaghegh, Z., Kazemi, R. and Mosleh, A. (2009). Incorporating organizational factors into Probabilistic Risk Assessment (PRA) of complex socio-technical systems: A hybrid technique formalization. Reliability Engineering and System Safety, 94, 1000–1018.CrossRefGoogle Scholar

Morgan, M. G. and Henrion, M. (1990). Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis, Cambridge: Cambridge University Press.CrossRefGoogle Scholar

Mosleh, A. and Bier, V. M. (1996). Uncertainty about probability: a reconciliation with the subjectivist viewpoint. Systems, Man and Cybernetics. Part A: Systems and Humans, 26, 303–311.CrossRefGoogle Scholar

Möller, N., Hansson, S. O. and Person, M. (2006). Safety is more than the antonym of risk. Journal of Applied Philosophy, 23, 419–432.CrossRefGoogle Scholar

Nilsen, T. and Aven, T. (2003). Models and model uncertainty in the context of risk analysis. Reliability Engineering and System Safety, 79, 309–317.CrossRefGoogle Scholar

North, W. (2010) Probability theory and consistent reasoning. Risk Analysis, 30, 377–380.CrossRefGoogle ScholarPubMed

NRC (National Research Council) (1983). Risk Assessment in the Federal Government: Managing the Process, National Academy of Sciences, Washington, DC: National Academy Press.Google Scholar

,NRC (1996). Understanding Risk: Informing Decisions in a Democratic Society. National Research Council, Washington, DC: National Academy Press.Google Scholar

,NRC (2009). Science and Decisions: Advancing Risk Assessment. Washington, DC: National Academy Press.Google Scholar

,NRC (2010). Defense-in-depth. US Nuclear Regulatory Commission. www.nrc.gov/reading-rm/basic-ref/glossary/defense-in-depth.html. Accessed 10 February 2010.

O'Brien, M. (2000). Making Better Environmental Decisions. Cambridge, MA: The MIT Press.Google Scholar

Östergaard, C., Dogliani, M., Soares, C. Guedes, Parmentier, G. and Pedersen, P. T. (1996). Measures of model uncertainty in the assessment of primary stresses in ship structures. Marine Structures, 9, 427–447.CrossRefGoogle Scholar

Paté-Cornell, M. E. (1996). Uncertainties in risk analysis: Six levels of treatment, Reliability Engineering and System Safety, 54(2–3), 95–111.CrossRefGoogle Scholar

Paté-Cornell, E. and Dillon, R. (2001). Probabilistic risk analysis for the NASA space shuttle: a brief history and current work. Reliability Engineering and System Safety, 74, 345–352.CrossRefGoogle Scholar

,PSA (2001). Risk Management Regulations. Petroleum Safety Authority Norway.Google Scholar

,PSA (2002). The Facilities Regulations. Regulations Relating to Design and Outfitting of Facilities etc. in the Petroleum Activities, 2002. Petroleum Safety Authority Norway. www.ptil.no/regelverk/category21.html. Accessed 10 May 2010.Google Scholar

,PSA (2007). Guidelines to Regulations Relating to Material and Information in the Petroleum Activities (The Information Duty Regulations), §13. Petroleum Safety Authority Norway.Google Scholar

,PSA (2009). Trend in Risk level in the Petroleum Activity. Summary report 2008. 23.4.2009. Petroleum Safety Authority Norway.Google Scholar

,Purple book (2008). Guidelines Risk Calculations (Purple Book) BEVI Module C, Version 3.0 Date 1 January 2008: Modelling specific BEVI categories (BEVI is the abbreviation of the decree implementing the SEVESO directive).

Rasmussen, J. (1997) Risk management in a dynamic society: a modelling problem. Safety Science, 27 (2/3), 183–213.CrossRefGoogle Scholar

Rechard, R. P. (1999). Historical relationship between performance assessment for radioactive waste disposal and other types of risk assessment. Risk Analysis, 19(5):763–807.CrossRefGoogle ScholarPubMed

Rechard, R. P. (2000). Historical background on performance assessment for the waste isolation pilot plant, Reliability Engineering and System Safety, 69 (3), 5–46.CrossRefGoogle Scholar

Reid, S. G. (1992). Acceptable risk. In Engineering Safety, ed. Blockley, D. I.. New York: McGraw-Hill, pp. 138–166.Google Scholar

Renn, O. (1992). Concepts of risk: A classification. In Social Theories of Risk, eds. Krimsky, S. and Golding, D.. Westport: Praeger, pp. 53–79.Google Scholar

Renn, O. (1998). Three decades of risk research: accomplishments and new challenges. Journal of Risk Research, 1 (1), 49–71.CrossRefGoogle Scholar

Renn, O. (2008). Risk Governance. London: Earthscan.Google Scholar

,Research Council of Norway: RCN (2000). Quality in Norwegian Research – An overview of Terms, Methods and Means (In Norwegian only). Oslo.Google Scholar

Rosa, E. A. (1998). Metatheoretical foundations for post-normal risk. Journal of Risk Research, 1, 15–44.CrossRefGoogle Scholar

Rosa, E. A. (2003). The logical structure of the social amplification of risk framework (SARF); metatheoretical foundations and policy implications. In The Social Amplification of Risk, eds. Pidgeon, N., Kasperson, R. E. and Slovic, P.. Cambridge: Cambridge University Press, pp. 47–79.CrossRefGoogle Scholar

Rosness, R (2009) A contingency model of decision-making involving risk of accidental loss. Safety Science, 47, 807–812.CrossRefGoogle Scholar

Ross, S. M. (1993). Probability Models, 5th edn. San Diego, CA: Academic Press.Google Scholar

Røed, W., Mosleh, A., Vinnem, J. E. and Aven, T. (2009). On the use of hybrid causal logic method in offshore risk analysis. Reliability Engineering and System Safety, 94, 455–455.CrossRefGoogle Scholar

Sahlin, N -E. (1993). On higher order beliefs. In Philosophy of Probability, ed. Dubucs, J -P.. Dordrecht: Kluwer Academic Publishers.Google Scholar

Sandin, P. (1999). Dimensions of the precautionary principle. Human and Ecological Risk Assessment, 5, 889–907.CrossRefGoogle Scholar

Sandin, P., Peterson, M., Hansson, S. O., Rudén, C. and Juthe, A. (2002). Five charges against the precautionary principle. Journal of Risk Research, 5, 287–299.CrossRefGoogle Scholar

Saltelli, A., Ratto, M., Andres, T.et al. (2008). Global Sensitivity Analysis: The Primer. New York: Wiley.Google Scholar

Shafer, G. (1976). A Mathematical Theory of Evidence. Princeton: Princeton University Press.Google Scholar

Singpurwalla, N. D. (1988). Foundational Issues in Reliability and Risk Analysis. SIAM Review, 30, 264–282.CrossRefGoogle Scholar

Singpurwalla, N. (2006). Reliability and Risk. A Bayesian Perspective. New York: Wiley.Google Scholar

Sinn, H. -W. (1980) A rehabilitation of the principle of insufficient reason. Quarterly Journal of Economics, 94 (3), 493–506.CrossRefGoogle Scholar

Steen, R. and Aven, T. (2010). A risk perspective suitable for resilience engineering. Safety Science, 49, 292–297.Google Scholar

Stirling, A. (1998). Risk at a turning point?Journal of Risk Research, 1, 97–109.CrossRefGoogle Scholar

Stirling, A. (2007). Science, precaution and risk assessment: towards more measured and constructive policy debate. European Molecular Biology Organisation Reports, 8, 309–315.Google Scholar

Stirling, A. and Gee, D. (2002). Science, precaution and practice. Public Health Reports, 117(6), 521–533.CrossRefGoogle ScholarPubMed

Stirling, A., Renn, O. and Zwanenberg, P. (2006). A framework for the precautionary governance of food safety: integrating science and participation in the social appraisal of risk. In Implementing the Precautionary Principle, eds. Fisher, E., Jones, J. and Schomberg, R.. Cheltenham: Edward Elgar Publishing, pp. 284–315.Google Scholar

Taleb, N. N. (2007). The Black Swan: The Impact of the Highly Improbable. London: Penguin.Google Scholar

Tickner, J. and Kriebel, D. (2006). The role of science and precaution in environmental and public health policy. In Implementing the Precautionary Principle, eds. Fisher, E., Jones, J., and Schomberg, R.. Northampton, MA: Edward Elgar Publishing.Google Scholar

,US Congress. (2004). Homeland Security: The Balance Between Crisis and Consequence Management Through Training and Assistance. Hearing before the Subcommittee on Crime, Terrorism, and Homeland Security of the Committee on the Judiciary, House of Representatives, 108th Congress, November 20, 2003.Google Scholar

,US National Research Council (1996). Understanding Risk, eds. Stern, P. C. and Fineberg, V.. Washington D.C.: National Academy Press.Google Scholar

Eijndhoven, J. C. M. and Ravenzwaaij, A. (2006). Optimizing risk analysis relating to external safety in the Netherlands. Risk Analysis, 9, 495–504.CrossRefGoogle Scholar

Vatn, J. (2007). Societal Security – A case study related to a cash depot. In Risk, Reliability and Societal Safety, eds. Aven, T. and Vinnem, J. E., Proceedings of the European Safety and Reliability Conference 2007 (ESREL 2007), Stavanger, Norway, 25–27 June 2007. London: Taylor & Francis Group, pp. 2599–2607.Google Scholar

Vatn, J. (2010). Issues related to localization of an LNG plant. In Reliability, Risk and Safety, eds. Bris, R., Soares, C. Guedes and Martorell, S.. London: Taylor & Francis Group, vol. II, pp. 917–921.Google Scholar

Vatn, J, Vatn, G. A, and Drottz-Sjøber, B-M. (2008). Societal security – a case study related to an LNG facility, Social Security Conference, Norwegian Research Foundation.Google Scholar

Vercelli, A. (1995). From soft uncertainty to hard environmental uncertainty, Economie applique´e, 48(2), 251–269.Google Scholar

Verma, M. and Verter, V. (2007). Railroad transportation of dangerous goods: Population exposure to airborne toxins. Computers and Operations Research, 34, 1287–1303.CrossRefGoogle Scholar

Vinnem, J. E. (2010). Risk analysis and risk acceptance criteria in the planning processes of hazardous facilities – a case of an LNG plant in an urban area. Reliability Engineering and System Safety. 95 (6), 662–670.CrossRefGoogle Scholar

Vinnem, J. E., Aven, T., Husebø, T., Seljelid, J. and Tveit, O. (2006). Major hazard risk indicators for monitoring of trends in the Norwegian offshore petroleum sector. Reliability Engineering and System Safety, 91, 778–791.CrossRefGoogle Scholar

Vose, D. (2008). Risk Analysis: A Quantitative Guide. 3rd edn, Chichester: Wiley.Google Scholar

Walley, P. (1991). Statistical Reasoning with Imprecise Probabilities. New York: Chapman and Hall.CrossRefGoogle Scholar

Weick, K. and Sutcliffe, K. M. (2001). Managing the Unexpected. San Francisco: Jossey Bass.Google Scholar

Weinberg, A. M. (1981). Reflections on Risk Assessment. Risk Analysis, 1, 5–7.CrossRefGoogle Scholar

Weinberg, A. M. (1972). Science and Trans-science, Minerun, 10, 209–222.Google Scholar

Wiener, J. B. and Rogers, M. D. (2002). Comparing precaution in the United States and Europe. Journal of Risk Research, 5, 317–349.CrossRefGoogle Scholar

Willis, H. H. (2007). Guiding resource allocations based on terrorism risk. Risk Analysis, 27(3), 597–606.CrossRefGoogle ScholarPubMed

Winkler, R. L. (1996). Uncertainty in probabilistic risk assessment. Reliability Engineering and System Safety, 85, 127–132.CrossRefGoogle Scholar

Wolfs, F. (2009). Introduction to the Scientific Method – An explanation on what the scientific method is and does. http://teacher.nsrl.rochester.edu/phy_labs/AppendixE/AppendixE.html. Accessed 3 March 2010.

Zio, E. (2009). Reliability engineering: Old problems and new challenges. Reliability Engineering and System Safety, 94, 125–141.CrossRefGoogle Scholar

Zio, E. and Apostolakis, G. E. (1996). Two methods for the structured assessment of model uncertainty by experts in performance assessments of radioactive waste repositories. Reliability Engineering and System Safety, 54, 225–241.CrossRefGoogle Scholar