• 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