Towards the data-based [x] minute city: outline of the sumo_15 project.

The paper presents the design and ambition of the project “Sensor Data Fusion for UrbanMobility in the 15-Minute City” (SUMO_15), one sub-project within the research cluster HAWICC (Hanseatic Wireless Innovation Competence Center). The ambition of SUMO_15 is to complement the discourses regarding the 15-Minute City with an evidence-based approach based on the usage of
real time data from advanced urban sensor and communication technologies. The project rationale is that in order to achieve the overarching goal of a city of short distances and high accessibilities – generally called the [x] Minute City – the professional disciplines of urban planning and traffic management need to be closely linked and supplemented by advanced digital instruments for integrated planning. For this end, SUMO_15 targets a platform that provides data- driven planning and decision-support tools built around complex models for urban simulation and analysis. The models in turn are generated by Machine Learning algorithms on the basis of real- time situation data of urban environments and mobilities, static information about the built and social environment,
as well as synthetic data from fusion generators. The tools as well as the respective planning and decision-making processes will be tested in a Hamburg urban living lab, and checked for their transferability to other cities in Germany and beyond.