Although the global transport volume is constantly increasing, and international logistics is often carried out across several networks or even intermodally, there is still a lack of transparency in the transport market. A structured procedure for the representation of logistical hypernetworks is developed for a large dataset by means of supplementary scientific methods. The resulting transparency of the transport market enables better efficiency planning and more effective optimization of transport in terms of costs, sustainability and resilience. The new data offers opportunities for new services in the transport sector.
A multi-method approach is intended to enable a quantum leap in the modeling and representation of hypernetworks in the logistics industry. The use of new data sources will be complemented by modeling approaches as well as professional surveys. The benefits of the representation of hypernetworks will be demonstrated for existing and new innovative services in the logistics sector.
Transport Logistics, Sustainability