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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Merrick, J.R.W. Dinesh, V. Amita Singh van Dorp, J.R. Mazzuchi, T.A. |
| Copyright Year | 2003 |
| Description | Author affiliation: Dept. of Stat. Sci. & Operations Res., Virginia Commonwealth Univ., Richmond, VA, USA (Merrick, J.R.W.; Dinesh, V.) |
| Abstract | Recent studies in the assessment of risk in maritime transportation systems have used simulation-based probabilistic techniques. Amongst them are the San Francisco Bay (SFB) Ferry exposure assessment in 2002, the Washington State Ferry (WFS) Risk Assessment in 1998 and the Prince William Sound (PWS) Risk Assessment in 1996. Representing uncertainty in such simulation models is fundamental to quantifying system risk. This paper illustrates the representation of uncertainty in simulation using Bayesian techniques to model input and output uncertainty. These uncertainty representations describe system randomness as well as lack of knowledge about the system. The study of the impact of proposed ferry service expansions in San Francisco Bay is used as a case study to demonstrate the Bayesian simulation technique. Such characterization of uncertainty in simulation-based analysis provides the user with a greater level of information enabling improved decision making. |
| Sponsorship | American Statistical Assoc. Assoc. for Comput. Machinery, Special Interest Group on Simulation IEEE Comput. Soc. IEEE Systems, Man and Cybernetics Soc. IIE Inst. for Oper. Res. and the Management Sci. College on Simulation Nat. Inst. of Standards and Technol. Soc. for Mideling and Simulation Int |
| Starting Page | 449 |
| Ending Page | 455 |
| File Size | 697931 |
| Page Count | 7 |
| File Format | |
| ISBN | 0780381319 |
| DOI | 10.1109/WSC.2003.1261455 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-12-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Uncertainty Risk management Bayesian methods Modeling Risk analysis Analytical models Safety Operations research Information analysis Transportation |
| Content Type | Text |
| Resource Type | Article |
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