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首页> 外文期刊>Environmental engineering and management journal >EXTREME RISK ASSESSMENT METHODOLOGY (ERAM) IN AVIATION SYSTEMS
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EXTREME RISK ASSESSMENT METHODOLOGY (ERAM) IN AVIATION SYSTEMS

机译：航空系统中的极端风险评估方法论（ERAM）

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The research is focused on the relationship between aviation systems and extreme terrorist events, the impacts of such events, and the solutions to manage the associated risks on medium and long term. The development of predictive models for extreme-asymmetric events in aviation (EAEA) still represents an emerging direction of interdisciplinary research because not all mechanisms and interactions are understood. The testing of models is difficult due to lack of data and interpretation frameworks and includes a major human component specific to social sciences. The proposed risk assessment model is based on a simulation algorithm, and relies on a spreadsheet program that models the risk in conjunction with input data: threat, vulnerability and consequences. The main advantage of the model is that it provides a fast and intuitive image of the phenomenon, using unsophisticated databases. In addition, the case study developed by the authors of the article and focused on modeling and simulating terrorist risk in a Romanian international airport answers decision makers' current requirement to operate a flexible, adaptable and scalable platform efficiently and rapidly.
机译：研究的重点是航空系统与极端恐怖事件之间的关系，此类事件的影响以及中长期管理相关风险的解决方案。航空极端不对称事件的预测模型（EAEA）的开发仍然代表了跨学科研究的新兴方向，因为并非所有机制和相互作用都被理解。由于缺乏数据和解释框架，模型的测试很困难，并且包括社会科学特有的主要人为因素。拟议的风险评估模型基于模拟算法，并依赖于电子表格程序，该程序结合输入数据（即威胁，脆弱性和后果）对风险进行建模。该模型的主要优点是，它使用简单的数据库即可提供快速直观的现象图像。此外，本文作者开发的案例研究着重于对罗马尼亚国际机场中的恐怖分子风险进行建模和模拟，从而满足了决策者当前对高效，快速运行灵活，适应性强和可扩展平台的要求。

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