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The whole is greater than the sum of its parts: a holistic graph-based assessment approach for natural hazard risk of complex systems

机译:整体大于其部件的总和:基于整体图形的复杂系统风险的基于图谱的评估方法

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Assessing the risk of complex systems to natural hazards is an important but challenging problem. In today's intricate socio-technological world, characterized by strong urbanization and technological trends, the connections and interdependencies between exposed elements are crucial. These complex relationships call for a paradigm shift in collective risk assessments, from a reductionist approach to a holistic one. Most commonly, the risk of a system is estimated through a reductionist approach, based on the sum of the risk evaluated individually at each of its elements. In contrast, a holistic approach considers the whole system to be a unique entity of interconnected elements, where those connections are taken into account in order to assess risk more thoroughly. To support this paradigm shift, this paper proposes a holistic approach to analyse risk in complex systems based on the construction and study of a graph, the mathematical structure to model connections between elements. We demonstrate that representing a complex system such as an urban settlement by means of a graph, and using the techniques made available by the branch of mathematics called graph theory, will have at least two advantages. First, it is possible to establish analogies between certain graph metrics (e.g. authority, degree and hub values) and the risk variables (exposure, vulnerability and resilience) and leverage these analogies to obtain a deeper knowledge of the exposed system to a hazard (structure, weaknesses, etc.). Second, it is possible to use the graph as a tool to propagate the damage into the system, for not only direct but also indirect and cascading effects, and, ultimately, to better understand the risk mechanisms of natural hazards in complex systems. The feasibility of the proposed approach is illustrated by an application to a pilot study in Mexico City.
机译:评估复杂系统到自然灾害的风险是一个重要而挑战性的问题。在当今复杂的社会技术世界中,以强大的城市化和技术趋势为特征,暴露元素之间的联系和相互依赖性至关重要。这些复杂的关系呼吁在集体风险评估中进行范式转变,从减少一个整体的方法。最常见的是,基于在每个元素中单独评估的风险的总和,通过还原学方法估计系统的风险。相比之下,整体方法认为整个系统是互联元件的独特实体,其中考虑到这些连接以便更彻底地评估风险。为了支持这一范式转变,本文提出了一种整体方法,以分析复杂系统的风险,基于图形的构造和研究,数学结构与元素之间的模拟连接的数学结构。我们证明代表了一种复杂的系统,例如通过图形的城市解决,以及使用称为图理论的数学分支所提供的技术,将具有至少两个优点。首先,可以在某些图形指标(例如,权限,学位和集线器值)和风险变量(曝光,漏洞和恢复力)之间建立类比,并利用这些类比来获得暴露系统对危害的更深知识(结构,弱点等)。其次,可以使用该图作为将损坏传播到系统中的工具,不仅是直接而且也是间接和级联效果,最终,更好地了解复杂系统中的自然灾害风险机制。拟议方法的可行性由墨西哥城的试点研究申请说明。

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    《Nature reviews Cancer》 |2020年第2期|共27页
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  • 正文语种 eng
  • 中图分类 肿瘤学;
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  • 入库时间 2022-08-19 17:30:31

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