CIM Wizard: A Flexible Framework for Automated CityJSON Generation from Sparse Urban Data

Urban Energy Modelling (UEM) bottom-up approaches involve three phases: data modelling, model extraction, and simulation. The tight coupling of these phases in existing tools limits flexibility and reuse. CIM Wizard addresses the data modelling phase through a pipeline of independent, interchangeable calculators that transform sparse urban datasets into standardised City Information Models (CIMs), while deliberately leaving model extraction and simulation to interoperable downstream tools. Users add new enrichment methods by defining a calculator class and a single JSON configuration entry, with no framework-level changes required. A priority-based fallback mechanism handles missing data, while a topological dependency resolver guarantees correct execution order. Resulting CIMs are stored in a PostGIS spatial database and exported as CityJSON extended with Energy and Utility Application Domain Extensions (ADEs). A real-world Italian case study demonstrates that fragmented municipal data can be transformed into detailed CIMs suitable for urban planning, scenario analysis, and digital twin applications.