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A Raster SOLAP Designed for the Emergency Services of Brussels Agglomeration
Kasprzyk, Jean-Paul; Donnay, Jean-Paul
2017In CLOUD COMPUTING 2017 - The Eighth International Conference on Cloud Computing, GRIDs, and Virtualization
Peer reviewed
 

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Keywords :
GIS; Risk Analysis; Data Warehouse; Fields; Firefighting; SIG; Analyse de risque; Entrepôt de données; Champs continus; Pompiers
Abstract :
[en] In order to quickly reach incident locations, emergency services have to fairly distribute their resources on the territory. This distribution is based on an analysis which depends on heterogeneous spatial data like past interventions (recurring risk), specific geographical places (sporadic risk), road network or socio-economic variables. On the other hand, Spatial Online Analytical Processing (SOLAP) tools are designed for the collection and the analysis of large spatial data sets. In this study, an original raster SOLAP model is implemented for emergency services of Brussels agglomeration. It allows decision-makers to freely generate risk maps (continuous fields), depending on several dimensions (time, intervention type, risk type, etc.), and to compare them with the accessibility of firefighters and ambulances. Simulations can also be performed on resources locations to see their impact on the main accessibility.
Research center :
Service d'Etude en Géographie Economique Fondamentale et Appliquée
Disciplines :
Computer science
Earth sciences & physical geography
Author, co-author :
Kasprzyk, Jean-Paul  ;  Université de Liège > Département de géographie > Serv. d'étude en géographie éco. fond. et appliquée (Segefa)
Donnay, Jean-Paul ;  Université de Liège > Département de géographie > Unité de Géomatique - Cartographie et S.I.G.
Language :
English
Title :
A Raster SOLAP Designed for the Emergency Services of Brussels Agglomeration
Alternative titles :
[fr] Un SOLAP Raster Conçu pour les Services d'Urgence de l'Agglomération de Bruxelles
Publication date :
20 February 2017
Event name :
Computation Word 2017 - CLOUD COMPUTING 2017 - Big Spatial Data Management (special track)
Event organizer :
IARIA
Event place :
Athènes, Greece
Event date :
du 19 février au 23 février 2017
Audience :
International
Main work title :
CLOUD COMPUTING 2017 - The Eighth International Conference on Cloud Computing, GRIDs, and Virtualization
ISBN/EAN :
978-1-61208-529-6
Pages :
32-38
Peer reviewed :
Peer reviewed
Name of the research project :
Analyse de risque SIAMU
Funders :
SIAMU
Available on ORBi :
since 15 March 2017

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