Application of OpenStreetMap Data in Ambulance Location Problem
Application of OpenStreetMap Data in Ambulance Location Problem
复制标题
OpenStreetMap数据在救护车定位问题中的应用
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
Lian Chai Gan
中科院分区：
文献类型：
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作者：
Mohd Hafiz Azizan;Cheng Siong Lim;W. Hatta;Lian Chai Gan
定位一组救护车以获得最佳覆盖范围可以确保紧急医疗服务（EMS）交付的效率。最大覆盖选址问题（MCLP）是一种静态选址模型，在EMS系统开发中已被证明是一种经济有效的工具。与此同时，OpenStreetMap（OSM）由于其开源状态而在研究人员中受到欢迎。由于缺乏对它在EMS中应用的研究，它的存在没有得到应有的重视和重视。在本文中，我们提出了我们的解决方案MCLP定位一些救护车，以最大限度地覆盖当地的需求，通过使用OSM地理数据。我们还讨论了在地图中整合当地人口数据的技术。结果表明，利用OSM地理数据可以成功地解决救护车定位问题。
Locating a group of ambulances to get optimum coverage can ensure the efficiency of emergency medical services (EMS) delivery. Maximal covering location problem (MCLP) is a static location model which has been proven as a cost-effective tool in the development of EMS system. Meanwhile, OpenStreetMap (OSM) has gained popularity among the researchers because of its open-source status. Due to the lack of study of its application in EMS, its presence is not much recognized and valued as it should be. In this paper, we present our solution of MCLP to locate a number of ambulances to maximize the coverage of local demands by using OSM geodata. We also discuss on the technique to integrate the local population data within the map. The results show that the ambulance location problem can be solved successfully by using OSM geodata.