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Title: A modified grouping genetic algorithm to select ambulance site locations
Authors: Comber, Alexis J.
Sasaki, Satoshi
Suzuki, Hiroshi
Brunsdon, Chris
First Published: 6-Nov-2010
Publisher: Taylor & Francis
Citation: International Journal of Geographical Information Science, 2011, 25 (5), pp. 807-823
Abstract: This article describes the development and application of a modified grouping genetic algorithm (GGA) used to identify sets of optimal ambulance locations. The GGA was modified to consider a special case with only two groups, and the reproduction and mutation schemes were modified to operate more efficiently. It was applied to a case study locating ambulances from a fixed set of alternative locations. The sites were evaluated using data of emergency medical services (EMS) calls summarised over census areas and weighted by network distance. Census areas serviced by the same selected location defined ambulance catchments. The results indicated alternative sites for ambulances to be located, with average EMS response times improved by 1 min 14 s, and showed the impacts of having different numbers of ambulances in current locations and in new locations. The algorithmic developments associated with the modified GGA and the advantages of using census areas as spatial units to summarise data are discussed.
DOI Link: 10.1080/13658816.2010.501334
ISSN: 1365-8816
eISSN: 1362-3087
Version: Post-print
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2010 Taylor & Francis. Deposited with reference to the publisher's archiving policy available on the SHERPA/RoMEO website. This is an Author's Accepted Manuscript of an article published in International Journal of Geographical Information Science, 2011, 25 (5), pp. 807-823. Copyright Taylor & Francis, available online at:
Appears in Collections:Published Articles, Dept. of Geography

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