In the coming few months, HCU CityScienceLab will confront these issues through the construction and deployment of tangible-digital city models. These models will allow different decision makers to come together and discuss long-term proposals for thousands of refugees city of Hamburg. The city has already provided 39,000 places for asylum seekers; The purpose of these tools is to help finding suitable areas for another 40,000 accommodation. From the research point of view, the Lab's goal is to promote an objective and substantive data-driven discussion on land use in the city.
Urban Modelling Platform
The city models consist of two tables: On one table, a model of the entire city of Hamburg presents previous asylum seekers accommodations. This model depicts existing and planned facilities for initial reception and the follow-up accommodation and planning frameworks (for example, the plan designation of an area). Additionally, all district and neighborhood boundaries and important landmarks such as the Elbe, Alster and Bille, are featured as well.
but the overall city scale allows only a rough analysis of the area. Therefore, another model was built to zoom in on the scale of the neighborhood, showing streets, existing buildings and parcels. HCU researchers developed cartographic data base, where potential public open spaces, as well as hard and soft criterias for each plot are presented. This multilayered information can assist in finding other locations for asylum seekers accommodations in preliminary assessment stages. Together with various decision makers, each parcel could be analyzed and check for feasibility.
Replacing different 'data blocks' in the model will allow real-time increase or decrease of the numbers of accommodations at individual location. These real-time changes, initiated by decision makers and the participating public will have a direct impact on different parameters in the model, such as the number of accommodated asylum seekers in the entire city or the number of asylum seekers per district or neighborhood.