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Optimizing the response for Arctic mass rescue events
Transportation Research Part E: Logistics and Transportation Review ( IF 10.6 ) Pub Date : 2021-07-28 , DOI: 10.1016/j.tre.2021.102368
Mustafa C. Camur , Thomas C. Sharkey , Clare Dorsey , Martha R. Grabowski , William A. Wallace

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.



中文翻译:

优化对北极大规模救援事件的响应

我们提出并研究了一个模型,该模型可优化对阿拉斯加北极地区大规模救援事件的响应。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 - 将撤离人员从事件发生地点移出北极(例如,阿拉斯加的一个大城市,如安克雷奇)的网络和在行动期间将救援物资运送到撤离人员的物流网络。我们通过结合优先级来模拟剥夺成本的概念,这些优先级反映了被疏散者当前医疗状况的严重程度,以及表明被疏散者没有获得关键救济资源的时间长度。

更新日期:2021-07-28
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