A Vehicle Route Planning Method of Two-Phase Large-Scale Crowd Evacuation in Typhoon Relief Activities
A Vehicle Route Planning Method of Two-Phase Large-Scale Crowd Evacuation in Typhoon Relief Activities
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DOI：
10.1155/2019/9539746
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发表时间：
2019-08
影响因子：
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通讯作者：
Sha-lei Zhan;Liang Chen;Ping‐Kuo Chen;Yong Ye
中科院分区：
文献类型：
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作者：
Sha-lei Zhan;Liang Chen;Ping‐Kuo Chen;Yong Ye
在台风救灾活动中，大规模人群疏散是保障受灾群众安全的重要措施。抗台风人群疏散决策必须充分考虑台风及其次生灾害的破坏力、时间紧迫性和资源有限性。为了充分发挥有限的车辆资源，本文主要在执行疏散任务时体现台风及其次生灾害对防台风疏散的影响。以最短时间完成所有疏散任务为目标。然后，建立了不确定环境下两阶段大规模抗台风人群疏散车辆路径选择模型，并设计了基于矩阵编码的遗传算法对模型进行求解。以2016年超级台风莫兰蒂为背景，将该模型和算法应用于厦门台风人群疏散过程中进行模拟分析。结果表明，在台风救援活动中，应急决策者可以根据相关台风灾害数据，利用本文提出的方法获得科学合理的抗台风人群疏散路径选择方案。
Large-scale crowd evacuation is an important measure guaranteeing the safety of disaster-stricken victims in typhoon relief activities. Decision-making related to antityphoon crowd evacuation must take full consideration of the destructive effect of typhoons and their secondary disasters, time urgency, and resource limitation. To give full play to limited vehicle resources, the influence of a typhoon and its secondary disasters on antityphoon evacuation are mainly manifested during the execution of evacuation tasks in this article. The shortest time spent in completing all evacuation tasks was taken as the objective. Then, a vehicle route selection model for two-phase large-scale antityphoon crowd evacuation was built under an uncertain environment, and a matrix encoding–based genetic algorithm was designed to solve the model. Under the background of Super Typhoon Meranti in 2016, the model and algorithm were applied to crowd evacuation in a typhoon in Xiamen for a simulated analysis. Results indicate that in typhoon relief activities, emergency decision makers can use the proposed method to acquire a scientific and reasonable route selection scheme for antityphoon crowd evacuation according to related typhoon disaster data.