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首页> 外文期刊>Australasian Journal of Information Systems >Multi-Objective Decision Analytics for Short-Notice Bushfire Evacuation: An Australian Case Study
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Multi-Objective Decision Analytics for Short-Notice Bushfire Evacuation: An Australian Case Study

机译:短时疏散林火疏散的多目标决策分析:澳大利亚案例研究

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This paper develops a multi-objective optimisation model to compute resource allocation,shelter assignment and routing options to evacuate late evacuees from affected areas to shelters.Three bushfire scenarios are analysed to incorporate constraints of restricted time-window and potential road disruptions.Capacity and number of rescue vehicles and shelters are other constraints that are identical in all scenarios.The proposed mathematical model is solved by ?-constraint approach.Objective functions are simultaneously optimised to maximise the total number of evacuees and assigned rescue vehicles and shelters.We argue that this model provides a scenario-based decision-making platform to aid minimise resource utilisation and maximise coverage of late evacuees.
机译:本文开发了一个多目标优化模型来计算资源分配,庇护所分配和路线选择,以将受灾地区的后期疏散人员疏散到避难所。分析了三种林下大火情景,以结合受限的时间窗口和潜在的道路中断的约束。救援车辆和避难所的数量是在所有情况下都相同的其他约束条件。所提出的数学模型通过α约束方法求解。同时优化了目标函数以最大化疏散人员和分配的救援车辆和避难所的总数。该模型提供了一个基于场景的决策平台,以帮助最大程度地减少资源利用并最大程度地覆盖后期撤离人员。

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