• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Social Informatics >Evaluating the Search and Rescue Strategies of Post Disaster
【24h】

Evaluating the Search and Rescue Strategies of Post Disaster

机译：评估灾后灾后的搜索和救援战略

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Introduction. Resource allocation is a challenging topic in the search and rescue (SAR) in post-disaster process, especially in situations with sparse infrastructure and dynamic demanding requirement. Previous studies have well demonstrated the need to improve the SAR decision-making process in these situations. However, a challenge that current models are facing is how to select target areas considering the random distribution of survivors with little information or coordination. Method. This paper makes a first attempt to compare the different models in SAR process, where SAR teams are supposed to operate independently or are dispatched by a central system. The paper uses the dynamic network models, which can avoid the shortcoming of normal random search, for SAR strategy analyses. Results. The numerical example shows that when information is uncertain, central dispatch easily leads to low efficiency in SAR management. Besides, quantity priority is proved to be more efficient than normal random search, especially when the distribution of survivors is not even. Conclusion. The findings of this paper provide important information for selecting effective analytical models in SAR management to save survivors.
机译：介绍。资源分配是在灾后过程中搜索和救援（SAR）的具有挑战性的话题，特别是在基础设施稀疏和动态苛刻要求的情况下。以前的研究表明，需要在这些情况下改善SAR决策过程。然而，目前模型面临的挑战是如何选择考虑幸存者随机分布的目标区域，信息或协调很少。方法。本文首先尝试比较SAR过程中的不同模型，其中SAR团队应该独立运作或由中央系统发送。本文采用动态网络模型，可以避免正常随机搜索的缺点，用于SAR策略分析。结果。数值示例表明，当信息不确定时，中央调度容易导致SAR管理的低效率。此外，证明数量优先于正常随机搜索更有效，特别是当幸存者的分布甚至没有。结论。本文的调查结果提供了选择SAR管理中有效分析模型的重要信息，以节省幸存者。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号