Data-driven, Integrated, Syncromodal, Collaborative and Optimised urban freight meta model for a new generation of urban logistics and planning with data sharing at European Living Labs

DISCO will develop and demonstrate - in real-life conditions - a federated European urban freight (UF) data space as one stop shop of data sharing on digital urban logistics solutions and smart tools for ambitious decision making. It will be a continental Ten-T – oriented and distributed real-life ecosystem to prove its value via demonstrated and replicable Use Cases (UCs), build upon innovation drivers o code concrete transformation of urban planning and land use by an open and collaborative UF Data Space with a smart governance model.

The DISCO UF Data Space is voluntary based (incentivized), co-created and open framework to achieve a radical transformation and alliance in purpose-oriented data sharing, enabling smart access, fast and resource efficient acquisition, and focused provision, improving knowledge and capacity of city authorities and planners guaranteeing future data availability for dynamic (and predictive) integrated urban logistics planning, synchronizing real-time demand for transport & warehousing with logistics supply. DISCO will support European urban logistics players in reducing economic, societal and technical dependence from private digital platforms owned by large global providers, magnifying the scope of a Sustainable Urban Mobility Plans (SUMPs) converging to data-driven Sustainable Urban Logistics Planning (SULPs), expanding them beyond traditional urban boundaries (e.g., rural areas, towns and suburbs, cities, and urban areas according to World Urbanization Prospects) and beyond Covid-19, to optimally manage, monitor and dynamically predict city freight flows, changing urban nodes accessibility by properly serving Functional Urban Area - FUA on a larger, mixed-use, and flexible scale, and deliver advanced and well-informed planning and purpose oriented, optimised land use within a TEN-T and global dimension.

Contact data:

For further information, please contact:

Dr. Susana Val, Principal Investigator  sval@zlc.edu.es

This project has received funding from the European Union’s Horizon Europe research and innovation programme under Grant Agreement No 101103954.