Optimizing the response for Arctic mass rescue events
Optimizing the response for Arctic mass rescue events
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DOI：
10.1016/j.tre.2021.102368
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
M. C. Camur;Thomas C. Sharkey;Clare Dorsey;M. Grabowski;W. Wallace
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文献类型：
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作者：
M. C. Camur;Thomas C. Sharkey;Clare Dorsey;M. Grabowski;W. Wallace
我们提出并研究了一个优化阿拉斯加北极大规模救援事件响应的模型。该模型包含大规模海上疏散的动态物流决策，其目标是最小化事件对疏散人员的影响和平均疏散时间。我们提出的优化模型考虑了两个相互作用的网络——将撤离人员从北极地区撤离的网络（例如，阿拉斯加的安克雷奇等大城市）和在行动期间向撤离人员运送救援物资的物流网络。我们对剥夺成本的概念进行了建模，纳入了反映撤离人员目前医疗状况严重程度的优先级别，以及表明撤离人员未获得关键救济资源的时间长度。我们的模型能够在给定响应资源当前位置的情况下理解可能的最佳响应，并用于评估模拟应急响应决策的直觉启发式的有效性。
We propose and study a model that optimizes the response to a mass rescue event in Arctic Alaska. The model contains dynamic logistics decisions for a large-scale maritime evacuation with the objectives of minimizing the impact of the event on the evacuees and the average evacuation time. Our proposed optimization model considers two interacting networks - the network that moves evacuees from the location of the event out of the Arctic (e.g., a large city in Alaska such as Anchorage) and the logistics network that moves relief materials to evacuees during the operations. We model the concept of deprivation costs by incorporating priority levels capturing the severeness of evacuees’ current medical situation and the period indicating the amount of time an evacuee has not received key relief resources. Our model is capable of understanding the best possible response given the current locations of response resources and is used to assess the effectiveness of an intuitive heuristic that mimics emergency response decision-making.