We research how data-driven management can help make multimodal transport systems more efficient, sustainable and fit for the future – from strategic planning to day-to-day operations, in Hesse, Germany and around the world.
Our research focuses on how we can use data to systematically combine the strengths of different modes of transport, transhipment technologies, digital platforms and business models. To this end, we combine interviews, surveys, simulation and optimisation to increase productivity and make better use of existing network capacity.
At the same time, we always keep the societal perspective in mind: security of supply, climate protection, reducing avoidable freight transport and shifting freight transport to environmentally friendly modes.
How does the introduction of a city toll affect urban freight transport? How can the service network design of an intermodal operator be optimized or route planning be made more efficient for a freight forwarder?