首页> 外文期刊>Transportation Research >A new risk quantification approach in port facility security assessment
【24h】

A new risk quantification approach in port facility security assessment

机译:港口设施安全评估中的新风险量化方法

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Terrorist attacks in the past decade had raised concern that terrorists capable of the suicide hijackings of airplanes could readily adapt such capabilities to maritime targets like ports. Although a large number of port security control measures have been proposed which have greatly enhanced security performance, the voice of requiring further justification on their effectiveness from various maritime stakeholders remains strong. Indeed, different ports around the world still have very diversified practices and standards regarding "secure" facilities, with a generally accepted assessment methodology found wanting. Despite the existence of previous research works, few have been done to address this issue, which clearly exposes a significant research gap. Understanding such deficiency, this paper introduces a novel fuzzy evidential reasoning approach to facilitate the quantitative analysis of port facility security assessment (PFSA). To achieve it, the major key security performance indicators (KSPIs) used by designated authorities in port facility security plan are identified; the current PFSA practices are reviewed with particular attention to the grades used by port operators when assessing the KSPIs; and a fuzzy evidential reasoning approach is applied to quantify port facility security risks and to conduct the cost benefit analysis of the associated security control measures.
机译:在过去的十年中,恐怖袭击引起了人们的关注,即有能力自杀劫持飞机的恐怖分子很容易将这种能力适应港口等海上目标。尽管已经提出了大量的港口安全控制措施,这些措施大大提高了安全性能,但各种海事利益相关方仍在要求进一步证明其有效性的声音依然强烈。确实,世界各地的不同港口在“安全”设施方面仍具有非常多样化的做法和标准,并且普遍缺乏评估方法。尽管已有先前的研究工作,但为解决这一问题所做的工作很少,这显然暴露了重大的研究差距。了解这种缺陷后,本文介绍了一种新颖的模糊证据推理方法,以促进港口设施安全评估(PFSA)的定量分析。为此,要确定指定机构在港口设施安全计划中使用的主要关键安全绩效指标(KSPI);评估当前的PFSA做法,尤其要注意港口运营商在评估KSPI时使用的等级;运用模糊证据推理方法对港口设施安全风险进行量化,并对相关安全控制措施进行成本效益分析。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号