Application of openstreetmap data in ambulance location problem
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...
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my.utm.345352017-09-07T05:08:42Z http://eprints.utm.my/id/eprint/34535/ Application of openstreetmap data in ambulance location problem Azizan, Mohd. Hafiz Cheng, Siong Lim W. M. Hatta, W. A. Lutfi Lian, Chai Gan TK Electrical engineering. Electronics Nuclear engineering 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. IEEE 2012 Book Section PeerReviewed Azizan, Mohd. Hafiz and Cheng, Siong Lim and W. M. Hatta, W. A. Lutfi and Lian, Chai Gan (2012) Application of openstreetmap data in ambulance location problem. In: Proceedings - 2012 4th International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2012. IEEE, New York, USA, pp. 321-325. ISBN 978-076954821-0 https://www.researchgate.net/publication/261433732_Annual_interception_loss_estimation_with_a_simple_equation DOI:10.1109/CICSyN.2012.66 |
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TK Electrical engineering. Electronics Nuclear engineering Azizan, Mohd. Hafiz Cheng, Siong Lim W. M. Hatta, W. A. Lutfi Lian, Chai Gan Application of openstreetmap data in ambulance location problem |
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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. |
format |
Book Section |
author |
Azizan, Mohd. Hafiz Cheng, Siong Lim W. M. Hatta, W. A. Lutfi Lian, Chai Gan |
author_facet |
Azizan, Mohd. Hafiz Cheng, Siong Lim W. M. Hatta, W. A. Lutfi Lian, Chai Gan |
author_sort |
Azizan, Mohd. Hafiz |
title |
Application of openstreetmap data in ambulance location problem |
title_short |
Application of openstreetmap data in ambulance location problem |
title_full |
Application of openstreetmap data in ambulance location problem |
title_fullStr |
Application of openstreetmap data in ambulance location problem |
title_full_unstemmed |
Application of openstreetmap data in ambulance location problem |
title_sort |
application of openstreetmap data in ambulance location problem |
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IEEE |
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2012 |
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http://eprints.utm.my/id/eprint/34535/ https://www.researchgate.net/publication/261433732_Annual_interception_loss_estimation_with_a_simple_equation |
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