A human reliability-based oil spill information management system
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abstract
This paper presents an overview of a modeling framework for the development of an information system that can be used to track, manage, and predict oil spill-related events. The motivation for this system derives in large part from a recent study 's recommendations concerning the need for improving the quality of oil spill-related data and for developing a human reliability model-based marine information system. The need for a model-based information system is also a result of potential shortcomings that were identified in the U.S. Coast Guard's Prevention Through People program for mitigating the problem of human error in relation to oil spill accidents. The information system model is comprised of two components. The first component consists of a two-level taxonomy for identifying human and equipment failures and their causes. Also contained in this component is a management response module that relates these failure events to management-based failures, and also provides detailed commentaries on these failures as a basis for suggesting design interventions. The second component of the information system consists of links between network and rule-based structures that are intended to describe marine work contexts and predict behaviors that can lead to a variety of adverse outcomes. The ability to use the first component stand alone as a Web-based marine database, and the capability for adapting the modeling structures based on the data associated with the taxonomy and management response modules to continuously improve the information system also are discussed.
