To Alert or Not to Alert? That Is the Question

Maude Arru (1) , Elsa Negre (1) , Camille Rosenthal-Sabroux (1)

1 LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision

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)

Mots clés: ICT and Artificial Intelligence for Crisis and Emergency Management; Collaboration Systems and Technologies; Crisis management; Decision tree; Decision support system

Domaines: Recherche opérationnelle [math.OC]; Intelligence artificielle [cs.AI]

Maude Arru, Elsa Negre, Camille Rosenthal-Sabroux. To Alert or Not to Alert? That Is the Question. 52nd Hawaii International Conference on System Sciences (HICSS 52), Jan 2019, Wailea, HI, United States. pp.649-658, ⟨10.24251/HICSS.2019.080⟩. ⟨hal-02276437⟩