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A modified grouping genetic algorithm to select ambulance site locations

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journal contribution
posted on 06.02.2013, 14:31 by Alexis J. Comber, Satoshi Sasaki, Hiroshi Suzuki, Chris Brunsdon
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.

History

Citation

International Journal of Geographical Information Science, 2011, 25 (5), pp. 807-823

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Geography/GIS

Version

AM (Accepted Manuscript)

Published in

International Journal of Geographical Information Science

Publisher

Taylor & Francis

issn

1365-8816

eissn

1362-3087

Copyright date

2010

Available date

06/02/2013

Publisher version

http://www.tandfonline.com/doi/abs/10.1080/13658816.2010.501334

Language

en

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