Centre de documentation
scientifique

A spatio-temporal population model to support risk assessment and damage analysis for decision-making / T. Ahola in International journal of geographical information science IJGIS, vol 21 n° 8 (september 2007)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 21 n° 8 (september 2007) . - pp 935 - 953 Titre : A spatio-temporal population model to support risk assessment and damage analysis for decision-making Type de document : Article/Communication Auteurs : T. Ahola, Auteur ; K. Virrantaus, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 935 - 953 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] données spatiotemporelles [Termes IGN] Finlande [Termes IGN] migration humaine [Termes IGN] mobilité territoriale [Termes IGN] modèle conceptuel de données spatio-temporelles [Termes IGN] outil d'aide à la décision [Termes IGN] protection civile [Termes IGN] risque majeur [Termes IGN] visualisation dynamique [Termes IGN] zone urbaine Résumé : (Auteur) The aim of this research is to develop and implement a simple spatio-temporal model of population location that might improve risk assessment and damage analysis for decision-making in both the Finnish Fire and Rescue Services and the Finnish Defence Forces. The motivation for the research is that present risk models do not take into account the temporal variation in population location during different times of the day. We use spatio-temporal modelling methods to model the population dynamics, and visualization techniques to represent the model outcomes. In addition, we apply the developed model to a damage-analysis application. The case study site is located in the centre of Helsinki. The model uses a basic population and workplace dataset maintained by the Helsinki Metropolitan Area Council. By means of this model, we intend to advance risk assessment, which considers the consequences of accidents. This model has the potential to help decision-makers evaluate their plans in several application areas - such as achieving better preparedness by having more reliable evacuation plans and resource allocation. In addition to the application-related technological research, a more generic framework about decision-making supported by spatio-temporal knowledge and visualization is presented. Copyright Taylor & Francis Numéro de notice : A2007-326 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810701349078 En ligne : https://doi.org/10.1080/13658810701349078 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28689 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-07051	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-07052	RAB	Revue	Centre de documentation	En réserve L003	Disponible