DocumentCode :
3057747
Title :
Application of OpenStreetMap Data in Ambulance Location Problem
Author :
Azizan, Mohd Hafiz ; Lim, Cheng Siong ; Hatta, W. A Lutfi W M ; Gan, Lian Chai
Author_Institution :
Dept. of Mechatron. & Robot., Univ. Teknol. Malaysia, Johor Bahru, Malaysia
fYear :
2012
fDate :
24-26 July 2012
Firstpage :
321
Lastpage :
325
Abstract :
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.
Keywords :
cartography; emergency services; facility location; medical information systems; public domain software; EMS delivery; EMS system; MCLP; OSM geodata; OpenStreetMap data; ambulance location problem; cost-effective tool; emergency medical service; local population data; maximal covering location problem; open-source status; optimum coverage; static location model; Data mining; Geographic information systems; Global Positioning System; Medical services; Roads; Standards; Subspace constraints; Ambulance Service; Location-allocation; Maximal Covering Location Problem (MCLP); OpenStreetMap;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence, Communication Systems and Networks (CICSyN), 2012 Fourth International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-1-4673-2640-7
Type :
conf
DOI :
10.1109/CICSyN.2012.66
Filename :
6274362
Link To Document :
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