The study of urban metabolism gives information about urban stocks and flows and can therefore be utilized to support sustainable urban planning. To improve availability of data on stocks and flows and ensure comparability of urban indicators, the standardized semantic 3D city model CityGML can be used. The purpose of this thesis was to determine, to which extent the concept of CityGML can be used to spatially model urban stocks and flows. First, various case studies on urban metabolism were analyzed and classified in terms of their input and output data. Next, the modeling of flows and indicators dealing with nutrients, energy and carbon, water, material, and eco-efficiency was described using CityGML, the Utility Network ADE, the General Indicator Model, and the Dynamizer ADE. To apply the modeling concept in practice, a use case was implemented to anaylze water stocks and flows of a sub-area of the city of Vancouver. Spatial modeling of urban stocks and flows in CityGML is possible for the most part, limitations occurred only for the modeling of very complex and variable flows. Indicators describing stock and flows volumes or urban sustainability can be stored in CityGML, provided that additional object attributes are added. The representation of time series of indicators in CityGML is possible without limitations.     «

The study of urban metabolism gives information about urban stocks and flows and can therefore be utilized to support sustainable urban planning. To improve availability of data on stocks and flows and ensure comparability of urban indicators, the standardized semantic 3D city model CityGML can be used. The purpose of this thesis was to determine, to which extent the concept of CityGML can be used to spatially model urban stocks and flows. First, various case studies on urban metabolism were ana...     »