Our society relies on the availability of efficient infrastructure for transportation, communication, energy supply, health care, and education, to mention some examples. Infrastructure design has a long-term impact, it is expensive and design decisions are often almost irreversible. They should therefore be taken with great care, using the best possible methods and ensuring optimal usability.
In the metropolitan area of Berlin, infrastructure evolution includes the construction of the BBI airport, the railway system including the main railway station, the U55 subway line, and the (canceled) maglev line to Hamburg, the projected extension of the A100 highway and the bicycle lane system, the licensing of the bus, light rail, water supply, electricity, and waste disposal systems, the allocation of hospital and school capacities as well as costs for street reconstruction. In all these areas and many more there is large potential for mathematical methods to better support decisions about the design, the organization, and the regulation and cost recovery of such metropolitan infrastructure.