URBAN GROWTH SIMULATION USING URBAN DYNAMICS AND CITYGML: A USE CASE FROM THE CITY OF MUNICH

Abstract. Urban dynamics modelling using system dynamic (SD) approaches aims to provide an understanding of the major internal forces within urban area, such as population development. SD models valuable information for decision and policy making. systems are strongly related space, which is well described by geospatial data. Therefore, connection data advantageous, both feeding spatial into further analyses visualizing results in geographic context. This paper describes a new approach combine model with semantic 3D city model. Our shows that bidirectional exchange between improves predictions generated models. Furthermore, we show automatic modification output allows visualization analysis future scenarios.Since have complex structures, since evolved very different domains, integrating task. In order facilitate integration process, developed conceptual model, structures relations concept weaving. The was tested tool Vensim CityGML set from Munich densification use case.