College of Computer Science and Engineering, University of Jeddah, Jeddah 23890, Saudi Arabia.
Int J Environ Res Public Health. 2023 Jan 18;20(3):1808. doi: 10.3390/ijerph20031808.
The concept of a catchment area is often used to establish equitable access to essential services such as ambulance emergency medical services. In a time-sensitive environment, taking the wrong decision when there is a need for a short travel time can have serious consequences. In ambulance management, a mistaken dispatch which may result in the late arrival of an ambulance can lead to a life-and-death situation. In addition, finding the optimal route to reach the destination within a minimum amount of time is a significant problem. A spatial routing analysis based on travel times within the emergency services catchment area can quickly find the best routes to emergency points and may overcome this problem. In this study, a smart spatial routing and accessibility analysis system is proposed for EMS using catchment areas of the Voronoi spatial model and time-based Dijkstra's routing algorithm (TDRA) to support the route analysis of emergencies and to facilitate the dispatch of appropriate units that are able to respond within a reasonable time frame. Our simulation shows that the system can successfully predict and determine the nearest candidate ambulance unit within the catchment area and candidate ambulance services in the adjacent catchment area that has a minimum travel time to the demand point taking TDRA construction into account.
服务区的概念通常用于确保基本服务（如救护车紧急医疗服务）的公平获取。在时间敏感的环境中，当需要短的旅行时间时，做出错误的决策可能会产生严重的后果。在救护车管理中，错误的调度可能导致救护车的延迟到达，从而导致生死攸关的情况。此外，找到在最短时间内到达目的地的最佳路线是一个重大问题。基于服务区内旅行时间的空间路由分析可以快速找到通往紧急点的最佳路线，并可能克服这个问题。在这项研究中，我们提出了一种基于 Voronoi 空间模型的服务区和基于时间的 Dijkstra 路由算法（TDRA）的智能空间路由和可达性分析系统，以支持紧急情况的路线分析，并方便调度能够在合理时间内做出响应的合适单位。我们的模拟表明，该系统能够成功预测和确定服务区内最近的候选救护车单位，以及考虑 TDRA 构建的相邻服务区内到需求点的最短旅行时间的候选救护车服务。
