论文标题
对紧急管理的事件预测，资源分配和调度模型的审查
A Review of Incident Prediction, Resource Allocation, and Dispatch Models for Emergency Management
论文作者
论文摘要
在过去的五十年中，研究人员开发了设计和改善紧急响应管理（ERM）系统的统计，数据驱动，分析和算法方法。该问题已被认为本质上是困难的，并且构成了不确定性下的时空决策，这在文献中已通过不同的假设和方法解决。这项调查提供了对这些方法的详细审查，重点介绍了四个子过程的关键挑战和问题：（a）事件预测，（b）事件检测，（c）资源分配，以及（c）计算机辅助调度以进行紧急响应。我们强调了该领域先前工作的优点和缺点，并探讨了不同建模范式之间的相似性和差异。最后，我们通过说明在这个复杂领域的未来研究的开放挑战和机会。
In the last fifty years, researchers have developed statistical, data-driven, analytical, and algorithmic approaches for designing and improving emergency response management (ERM) systems. The problem has been noted as inherently difficult and constitutes spatio-temporal decision making under uncertainty, which has been addressed in the literature with varying assumptions and approaches. This survey provides a detailed review of these approaches, focusing on the key challenges and issues regarding four sub-processes: (a) incident prediction, (b) incident detection, (c) resource allocation, and (c) computer-aided dispatch for emergency response. We highlight the strengths and weaknesses of prior work in this domain and explore the similarities and differences between different modeling paradigms. We conclude by illustrating open challenges and opportunities for future research in this complex domain.
