Sustainable data regulation for Berlin's infrastructure and building sector: Background paper and policy recommendations

Nachhaltige Datenregulierung für den Berliner Infrastruktur- und Gebäudesektor: Hintergrundpapier und Policy-Empfehlungen
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In the first part of the research project, we developed theoretical fundamentals for ideal-typical regulatory scenarios and normative data principles (Franke, 2021; Gailhofer & Franke, 2021) as well as a methodology for scenario-based analysis (Kollosche et al., 2022). Results of scenarios in this background paper show an assessment of different regulatory data approaches in the building and infrastructure sector for Berlin. Further background papers with a similar methodology were prepared by the project team for the application fields mobility in Berlin (Thomas & Kollosche, 2022), health sector in Berlin (Franke, 2022) and for a sustainable Berlin circular economy (Best & Stockhaus, 2022). Result of the background papers also include workshop discussions with experts and practitioners. The theoretical reflections were discussed, evaluated, and further developed. The results of the background papers were incorporated into a broader synthesis of the respective results from the fields of application (Gailhofer et al., 2022).

The present background paper shows for the Berlin context scenario-based possibilities how sustainability potentials could be raised by data regulation. In the background paper, we have focused on data-based applications for Building Information Modeling (BIM) and Digital City Twin. With these approaches, sustainability potentials for a sustainable transformation in the construction, operation, maintenance and repair of urban infrastructures and the building sector can be identified. In doing so, we present how a sustainably oriented data regulation could help to leverage these potentials.

Publication date

Type of Result

Report

Authorship

Martin Gsell, Peter Gailhofer

Published in

Wissen. Wandel. Berlin. Report 23

Research Partners

Keywords

Regulation of the data economy, building and infrastructure sector, Building Information Modelling (BIM), Digital City Twin, scenario-based approach, Berlin