Building an integrated model that is able to capture urban circularity (for energy and materials) involves addressing complex data standardization and integration challenges. Each data source uses different classifications, methodologies, units, levels of data granularity, formats, among others, making it difficult to standardize and integrate the information. Over the last months, the CircEUlar partner INEGI has been working on a coherent data processing framework at a high-resolution scale, for the Porto case study.

The conceptual model (Figure 1) aims at assessing the links between the built stock/ mobility patterns with energy and materials intensity. In addition to urban form indicators, building attributes, socioeconomic characteristics and behavioral features were processed and measured to ensure an accurate model specification.

For the city of Porto, INEGI collected and harmonized data from a number of data providers (Figure 2) to produce around 40 indicators for modelling at the census tract level. At present, the data collection and preprocessing is nearly concluded for the Portuguese case study.

The next steps will include moving to an initial and iterative model parametrization process as well as the replication of these procedures to the Berlin case study, while accommodating different data availabilities, compatibility, and interoperability in this new case.