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首页> 外文期刊>Journal of risk research >Scalable simulation of a Disaster Response Agent-based network Management and Adaptation System (DRAMAS)
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Scalable simulation of a Disaster Response Agent-based network Management and Adaptation System (DRAMAS)

机译：基于灾难响应代理的网络管理和适应系统（DRAMAS）的可扩展模拟

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The objective of this paper is to advance the study of disaster response and recovery (generally, disaster relief) by providing tools and insights to agencies that work in disaster relief. This paper is built on extensive research of disaster relief literature and practice, and provides a comprehensive analysis of agency posturing following an extreme event. We present the Disaster Response Agent-based network Management and Adaptation System (DRAMAS) model, which uses stochastic processes to model the complex interactions between relief agencies of different sizes and capabilities. The DRAMAS simulation environment provide an excellent testing ground for hypotheses regarding relief agency partnerships, goals, roles, and prior involvement, by providing a depiction of the change in agency partnerships and resource investments following a disaster. The goal of this research is to expand the current body of knowledge and examine the fundamental principles of agency success during relief operations. We find that (a) larger relief networks tended to be less efficient at meeting the typical needs of the community, (b) having a relief network with more agents appeared to increase the time it took for a typical need, (c) having a high percentage of local agents resulted in an increased time for typical services, (d) a more dense network resulted in more effective identification of long-term needs and also improved services time, etc. Results from this work provide a path for improving our understanding of interagency partnerships and interaction, and could provide new insights into the behavior of agency networks in response to a disaster.
机译：本文的目的是通过向救灾工作的机构提供工具和见解，推进灾害响应和恢复（一般，救灾）的研究。本文建立了对灾难救济文献和实践的广泛研究，并对极端事件进行了全面分析了代理界。我们介绍了基于灾难响应代理的网络管理和适应系统（DRAMAS）模型，它使用随机过程来模拟不同尺寸和能力的救济机构之间的复杂相互作用。 DRAMAS模拟环境通过提供对灾难发生的机构伙伴关系和资源投资的变化来描述，为救济局伙伴关系，目标，角色和事先参与提供了出色的测试。该研究的目标是扩大当前的知识体系，并在救济行动中审查机构成功的基本原则。我们发现（a）较大的浮雕网络在满足社区的典型需求方面往往效率较低，（b）具有更多代理商的救济网络似乎增加了典型需求所花费的时间（c）高百分比的局部代理导致典型服务的增加时间，（d）更密集的网络导致更有效的长期需求识别，也改善了服务时间等等。这项工作的结果提供了改善我们理解的路径互动伙伴关系和互动，可以为灾难的应对机构网络行为提供新的见解。

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