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dc.contributor.authorArru, Maude*
dc.contributor.authorNegre, Elsa*
dc.contributor.authorRosenthal-Sabroux, Camille*
dc.date.accessioned2019-09-02T13:55:09Z
dc.date.available2019-09-02T13:55:09Z
dc.date.issued2019
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/19627
dc.language.isoenen
dc.subjectICT and Artificial Intelligence for Crisis and Emergency Management
dc.subjectCollaboration Systems and Technologies
dc.subjectCrisis management
dc.subjectDecision tree
dc.subjectDecision support system
dc.subjectshow 2 more
dc.subject.ddc003en
dc.titleTo Alert or Not to Alert? That Is the Question
dc.typeCommunication / Conférence
dc.description.abstractenMost of crises, environmental, humanitarian, economic or even social, occur after different presaging signals that permit to trigger warnings. These warnings can help to prevent damages and harm if they are issued timely and provide information that helps responders and population to adequately prepare for the disaster to come. Today, there are many systems based on Information and Communication Technologies that are designed to recognize foreboding signals of crises to limit their consequences. Warning system are part of them, they have proved to be effective, but as for all systems including human beings, a part of unpredictable remains. In this article, we provide a method of data analysis that allows decision makers in crisis cells to have answer elements to the question of alerting or not populations in a given geographical area. This method is based on a selection of factors that influence population behaviors, for which we establish a list of relevant indicators that can be informed in the preliminary phase of a crisis into warning systems. From these indicators, we propose a tool for decision support (based on a decision tree as a possible representation)
dc.identifier.citationpages649-658
dc.relation.ispartoftitle52nd Hawaii International Conference on System Sciences, HICSS 2019
dc.relation.ispartofeditorTung Bui
dc.relation.ispartofpublnameSchloss Dagstuhl--Leibniz-Zentrum fuer Informatik
dc.subject.ddclabelRecherche opérationnelleen
dc.relation.ispartofisbn978-0-9981331-2-6
dc.relation.confdate2019
dc.relation.forthcomingnonen
dc.identifier.doi10.24251/HICSS.2019.080
dc.description.ssrncandidatenon
dc.description.halcandidateoui
dc.description.readershiprecherche
dc.description.audienceInternational
dc.date.updated2020-05-06T14:06:47Z
hal.person.labIds989*
hal.person.labIds989*
hal.person.labIds*
hal.identifierhal-02276437*


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