To Alert or Not to Alert? That Is the Question

dc.contributor.author Arru, Maude
dc.contributor.author Negre, Elsa
dc.contributor.author Rosenthal-Sabroux, Camille
dc.date.accessioned 2019-01-02T23:43:59Z
dc.date.available 2019-01-02T23:43:59Z
dc.date.issued 2019-01-08
dc.description.abstract Most 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.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2019.080
dc.identifier.isbn 978-0-9981331-2-6
dc.identifier.uri http://hdl.handle.net/10125/59505
dc.language.iso eng
dc.relation.ispartof Proceedings of the 52nd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject ICT and Artificial Intelligence for Crisis and Emergency Management
dc.subject Collaboration Systems and Technologies
dc.subject Crisis management
dc.subject Decision tree
dc.subject Decision support system
dc.subject Early warning system
dc.subject Population behaviors
dc.title To Alert or Not to Alert? That Is the Question
dc.type Conference Paper
dc.type.dcmi Text
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