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

Auteur(s) et Affiliation(s)

GREKOUKIS, G.

Dept. of Environmental Resources Engineering, College of Environmental Science and Forestry, State Univ. of New York, Syracuse, Etats-Unis

PHOTIS, Y.N.

Spatial Analysis and Locational Planning, Dept. of Planning and RegionalDevelopment, Univ. of Thessaly, Volos, Grece

Description :
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.

Type de document :
Article de périodique

Source :
The Professional geographer, issn : 0033-0124, 2014, vol. 66, n°. 1, p. 124-137, nombre de pages : 14, Références bibliographiques : 2 p.

Date :
2014

Editeur :
Pays édition : Etats-Unis, Cambridge, MA, Blackwell

Langue :
Anglais