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(Article of periodic en Anglais - 2014)

Document title

Analyzing high-risk emergency areas with GIS and neural networks : the case of Athens, Greece

Authors(s) and Affiliation(s)

GREKOUKIS G. (1) ; PHOTIS Y.N. (2) ;
(1) Dept. of Environmental Resources Engineering, College of Environmental Science and Forestry, State Univ. of New York, Syracuse, ETATS-UNIS
(2) Spatial Analysis and Locational Planning, Dept. of Planning and RegionalDevelopment, Univ. of Thessaly, Volos, GRECE

Abstract

This article combines geographic information systems (GIS) and neural networks for performing health emergency assessments and generating hazard maps that show areas that are potentially at high risk for emergencies. As a result, emergency services will know in advance where there is a high possibility of an emergency event occurring and can formulate a response, thus improving incident management and health planning. For example, the service can locate ambulances in places near the expected emergency cases, minimizing response time. The approach was tested in stroke-event analysis in the city of Athens, Greece

Source

Article of periodic

published at : The Professional geographer / ISSN 0033-0124

Editor : Blackwell, Cambridge, MA - ETATS-UNIS (1946)

Millesime : 2014, vol. 66, no1 [pp. 124-137]

Bibliographic references : 2 p.

Collation : 10 fig., 3 tabl.

Language

Anglais

INIST-CNRS, Cote INIST : 9188

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1080/00330124.2013.765300

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2014
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