Abstract

A conceptual framework is proposed that defines the most appropriate 3D visualisations for different types of natural disasters in urban environments. Based on the disaster type, the needed level of detail for a 3D model is derived, which is then linked to the time needed to process the data and obtain this level of detail. The levels of detail are compliant with the 3D international standard CityGML. The framework is designed to serve risk managers and to help them make a better selection of 3D model representations to perform their tasks. After a brief introduction on the relations between types of disasters, data needed to manage the disasters and different users involved in the risk management process, the chapter elaborates on the parameters according to which types of hazards are classified. The framework is demonstrated for an earthquake case in Eskisehir, Turkey. The paper concludes with a discussion of the advantages and disadvantages of the given framework, as well as an outline of future research.KeywordsDisaster ManagementAreal ExtentSpatial DispersionPrevalence IndexBuilding FootprintThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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