University for Continuing Education Krems OnCity Digital Twins and Agent-Based Models: An illustration City Digital Twins (CDTs) are expected to play an important role for the realization of Smart Cities. However, existing CDTs are still lacks appropriate representation of social systems. Agent-Based Models (ABMs), on the other hand, have a long tradition in studying complex social systems. Our research explores to what extent ABMs can benefit CDT applications and how this integration can lead to more robust models. We conduct this research by exploring an existing ABM within the context of urban mobility, TransportVarese. This model is an ABM that aims to mimic transportation mode preference in the Italian city of Varese. By introducing a dynamic fare policy for public transport as a test case, we were able to generate a proof of concept for ABM and CDT integration. The results corroborate both the potential and limitations of integrating ABM and CDTs. While the possibilities of integrating physical aspects and real-time data into ABMs are promising, the lack of access to a CDT limits the scope of our conclusions. On the CDT side, the relevance of a theory encompassing a detailed description of human interactions with the physical environment is suggested as a possible future development. Additionally, the discussion covers the ethical implications and the need for a sociotechnical, transdisciplinary approach. en TEXT Master theses Masterarbeit Text Masterarbeit Text Master theses City Digital Twin (CDT) Agent-Based Model (ABM) Integration Sociotechnical Systems Transdisciplinary 2024 2024 Alan Rafael Dill Gabriela Viale Pereira Pablo Lucas