During the crisis management, several organizations coordinate their emergency work based not only on well-defined policies and procedures (product of careful preparation) but also on the outcomes of the decisionmaking process. Decision-making is a highly complicated process in crisis situations. Good support in decision-making when disaster occurs is of critical importance to react accurately, fast and effectively. Good decisionmaking helps to control damage, save lives and resources, and reduce unwanted consequences of a crisis. Spatial Data Infrastructure (SDI) is increasingly considered a critical aspect of decision-making in disaster management. This paper presents our concept for an appropriate SDI (openstandard generic platform) assisting in administration, analysis of data to predict development of a crisis event and accordingly advise for changes of plans
IntroductionThe first hours after a disaster happens are very chaotic and difficult but perhaps the most important for successfully fighting the consequences, saving human lives and reducing damages in private and public properties. In these first hours, the good estimation of the current situation is of particular importance. A large number of questions (e.g. where is the emergency situation, how to get there, how many casualties, what kind of information do we have from there), are pending for answering.Additionally to the unclear situation, many different actors from different sectors (fire brigade, police, paramedics, municipalities, etc.) with, sometimes, contradictory requirements are involved in managing the situation. Since many of the tasks they have to perform are rather different than their daily work routines, a good cooperation and collaboration between different teams is of critical importance.