Reference : Spatial OnLine Analytical Processing Applied to Cities Security with Raster Data - A ...
Scientific congresses and symposiums : Unpublished conference/Abstract
Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
Engineering, computing & technology : Computer science
Spatial OnLine Analytical Processing Applied to Cities Security with Raster Data - A Case Study on Emergency Services of Brussels Agglomeration
Kasprzyk, Jean-Paul mailto [Université de Liège > Département de géographie > Unité de Géomatique - Topographie et géométrologie >]
Devillet, Guénaël mailto [Université de Liège > Département de géographie > Serv. d'étude en géographie éco. fond. et appliquée (Segefa) >]
EMAN 2017 – Sustainability Accounting and Control for Smart Cities
du 27 au 29 juin 2017
The Environmental and Sustainability Management Accounting Network (EMAN)
Smart City Institute at HEC Management school of University of Liège
[en] SOLAP ; Smart Cities ; Risk Analysis ; GIS ; Big Data
[en] Public institutions in charge of cities security are confronted to always more complex and voluminous data. In particular, georeferenced data can be extracted from many sources: mobile phones, social media, cars, security camera, satellite images, crowdsourcing, geography portals, etc. Uses of these data are various. For instance, it is very precious to firefighters in order to fairly distribute their resources (equipment and men) on the territory. These large spatial data sets (“Big Data”) require powerful tools for their extraction and their analysis. For this purpose, an original Spatial OnLine Analytical Processing (SOLAP) model is developed for emergency services. A case study involving firefighters and medical aids of Brussels is presented
Service d'Etude en Géographie Economique Fondamentale et Appliquée ; Unité de Géomatique
Service d'Incendie et d'Aide Médicale Urgente de la Région de Bruxelles-Capitale
Analyse de risque SIAMU
Researchers ; Professionals ; Students

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