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Dynamic Floating Stations Model for Emergency Medical Services with a Consideration of Traffic Data
ISPRS International Journal of Geo-Information ( IF 3.4 ) Pub Date : 2020-05-20 , DOI: 10.3390/ijgi9050336 Chih-Hong Sun , Chen-Yang Cheng , Cheng-Hui Wang , Po-Huan Hsiao
ISPRS International Journal of Geo-Information ( IF 3.4 ) Pub Date : 2020-05-20 , DOI: 10.3390/ijgi9050336 Chih-Hong Sun , Chen-Yang Cheng , Cheng-Hui Wang , Po-Huan Hsiao
To equally distribute the workload and minimize the travel distance for fire departments, we developed a new dynamic floating stations model (DFSM) to target traffic-related emergency medical services (EMS) during peak hours. This study revealed that traffic-related EMS incidents have different characteristics to other EMS incidents. The number of floating stations was determined by the number of available ambulances at a given time. The optimum floating station location was identified by using the given capacity to establish the smallest service radius. In DFSM simulations using floating stations with a capacity of 100 and 150 EMS incidents, the result shows significant improvements in comparison to the current situation.
中文翻译:
考虑交通数据的紧急医疗服务动态浮动站模型
为了平均分配工作量并最小化消防部门的出行距离,我们开发了一种新的动态浮动车站模型(DFSM),以在高峰时段针对与交通相关的紧急医疗服务(EMS)。这项研究表明,与交通有关的EMS事件与其他EMS事件具有不同的特征。浮动车站的数量由给定时间的可用救护车数量决定。通过使用给定的容量确定最小的服务半径,可以确定最佳的浮动站位置。在使用具有100和150 EMS事件容量的浮动站的DFSM仿真中,与当前情况相比,结果显示出显着的改进。
更新日期:2020-05-20
中文翻译:
考虑交通数据的紧急医疗服务动态浮动站模型
为了平均分配工作量并最小化消防部门的出行距离,我们开发了一种新的动态浮动车站模型(DFSM),以在高峰时段针对与交通相关的紧急医疗服务(EMS)。这项研究表明,与交通有关的EMS事件与其他EMS事件具有不同的特征。浮动车站的数量由给定时间的可用救护车数量决定。通过使用给定的容量确定最小的服务半径,可以确定最佳的浮动站位置。在使用具有100和150 EMS事件容量的浮动站的DFSM仿真中,与当前情况相比,结果显示出显着的改进。