Reference : A Raster SOLAP Designed for the Emergency Services of Brussels Agglomeration
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Computer science
Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
http://hdl.handle.net/2268/208235
A Raster SOLAP Designed for the Emergency Services of Brussels Agglomeration
English
[fr] Un SOLAP Raster Conçu pour les Services d'Urgence de l'Agglomération de Bruxelles
Kasprzyk, Jean-Paul mailto [Université de Liège > Département de géographie > Serv. d'étude en géographie éco. fond. et appliquée (Segefa) >]
Donnay, Jean-Paul mailto [Université de Liège > Département de géographie > Unité de Géomatique - Cartographie et S.I.G. >]
20-Feb-2017
CLOUD COMPUTING 2017 - The Eighth International Conference on Cloud Computing, GRIDs, and Virtualization
32-38
Yes
No
International
978-1-61208-529-6
Computation Word 2017 - CLOUD COMPUTING 2017 - Big Spatial Data Management (special track)
du 19 février au 23 février 2017
IARIA
Athènes
Grèce
[en] GIS ; Risk Analysis ; Data Warehouse ; Fields ; Firefighting
[fr] SIG ; Analyse de risque ; Entrepôt de données ; Champs continus ; Pompiers
[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.
Service d'Etude en Géographie Economique Fondamentale et Appliquée
SIAMU
Analyse de risque SIAMU
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/208235
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