3D City models: "In the future, I also want to further popularize and promote this domain"; [3D-Stadtmodelle: „Diese Domäne möchte ich auch in Zukunft weiter bekannt machen und voranbringen“]
Keywords:
3D City Models, Urban Digital Twins, GIS, 3D Mapping, Smart Cities, Geospatial Data, Urban PlanningAbstract
Three-dimensional city models provide a spatial representation of buildings and urban structures that can support analysis, visualization and communication. Their value depends not only on technical development but also on making the models understandable and useful to practitioners, public institutions and wider audiences. From a geospatial perspective, the subject raises questions about data availability, quality, interpretation and practical use. Geographic information systems and related digital methods can help connect information to place, reveal relationships between different sources and make findings easier to communicate. The usefulness of these methods depends on appropriate data, clear objectives and workflows that fit the needs of the people who use the results. For practitioners and decision-makers, the central consideration is how technical possibilities can be translated into dependable everyday practice. This includes coordinating stakeholders, maintaining information over time and making outputs understandable to both specialist and non-specialist audiences. The topic also illustrates the importance of considering technical, organizational and human factors together rather than treating a digital tool as a complete solution on its own. Overall, “3D City models: "In the future, I also want to further popularize and promote this domain"” provides a lens for examining the evolving relationship between geospatial information, digital innovation and real-world applications. The discussion is relevant to professionals interested in GIS, data-driven planning and the development of more informed workflows. This editorial abstract is based on the article title and subject area; it does not claim specific findings or methods that are not stated in the source record.
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This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). This permits anyone to share, copy, redistribute, remix, transform, and build upon the material for any purpose, including commercial purposes, provided that appropriate credit is given to the original author(s), a link to the license is provided, and any changes made to the material are indicated.



