PRMT and PRMC monitoring: analysis of goods flows and regional mobility

Scope of the assignment

As the main technical partner, we supported the Lombardy Region in developing a comprehensive analysis of freight flows, logistics corridors and intermodal hubs. The assignment was aimed at updating the PRMT and monitoring the PRMT and PRMC. Furthermore, the work considered new mobility paradigms and the requirements for a more resilient system. Consequently, the activities provide a clear framework for defining effective regional transport strategies.

Methodological approach and team organisation

The assignment was developed using an interdisciplinary approach aimed at providing solid technical tools for planning mobility policies. The team was organised into general coordination and key thematic experts. In addition, activities included the assessment of transport flows, the identification of logistics corridors and the analysis of intermodal nodes. This method has therefore made it possible to integrate logistics and mobility into sustainable transport strategies.

Interaction with stakeholders and development of the knowledge framework

The project involved ongoing discussions with the Lombardy Region through face-to-face and remote meetings. Participatory workshops were also organised with institutional stakeholders and operators in the logistics sector. At the same time, the updated knowledge framework was constructed by integrating open data, specialist reports and FCD Big Data. In addition, commercial vehicle route mapping and predictive models have been developed. These tools therefore enable a more accurate estimate of the impact of freight demand on the network.

Strategic themes and future vision

Particular attention was paid to the evolution of the Lombardy railway network, strategies for exceptional transport and the resilience of infrastructure ahead of the Milan-Cortina 2026 Olympics. Furthermore, innovative methodologies were applied to monitor PRMT and PRMC through context, process and environmental sustainability indicators. The use of Big Data has made it possible to clearly analyse post-COVID dynamics, distinguishing between passenger mobility and freight mobility. Consequently, the work offers an accurate interpretation of the changes taking place.

Results and operational scenarios

Thanks to the data-driven approach, it was possible to formulate operational proposals consistent with regional objectives and European guidelines. Furthermore, intervention scenarios have been defined that are useful for building a sustainable and resilient mobility system. Finally, the work lays the foundations for consciously managing future transformations of the logistics network and the Lombardy region.