URBANE D2.5 Thessaloniki Demonstrator
Abstract
This report presents the findings and outcomes of the Thessaloniki Demonstrator under the URBANE Project, which aims to enhance green urban logistics through multi-actor collaboration and PI-inspired last-mile delivery solutions. The primary purpose of this deliverable (D2.5) is to document the integration and assessment of innovative logistics solutions within the urban environment of Thessaloniki, Greece, aligning with the city’s ambition to become a zero-emission city by 2030. The project conducted extensive data collection and analysis, encompassing operational data from local logistics partners and socioeconomic data from the Region of Central Macedonia. The work involved demonstrating two key use cases: the installation of micro-hubs in public spaces and the simulation of Physical Internet (PI)-inspired green last-mile solutions utilizing digital twin (DT) technology. These efforts were evaluated based on various key performance indicators, including transportation costs, labor, CO2 emissions, and user preferences. Key innovations introduced include a collaborative macro and micro consolidation delivery model, the use of digital twins for real-time optimization of logistics operations, the integration of blockchain technology for enhanced parcel tracking, and the development of user-centric logistics solutions. The findings show that these innovative approaches significantly improve delivery efficiency and reduce environmental impacts, supporting the city's decarbonization goals. The report concludes that strategic placement of micro-hubs, digital twin technology, and blockchain integration, combined with stakeholder engagement and adaptive business models, offer effective pathways to sustainable urban logistics and provide a replicable model for other cities aiming for similar sustainability targets
Fields of Study & Subjects
Urban and Freight Transport Logistics
Transport and Logistics Innovations
Vehicle Routing Optimization Methods
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 3 February 2026