From Data to Decisions: Planning, Monitoring and Managing Urban Mobility (Part II)

Cities collect more mobility data than ever before, yet many still struggle to translate information into effective planning, monitoring and operational decisions. 

This session explores how cities can move from fragmented datasets to decision-grade intelligence. The discussion will examine three connected dimensions. First, how data can support Sustainable Urban Mobility Planning (SUMP), including the definition of indicators, baselines, targets and monitoring frameworks. Second, how organisations can establish practical governance models for sharing and using mobility data, including interoperability, trust, privacy considerations and alignment with emerging European data-sharing frameworks. Third, how digital tools such as analytics, AI-assisted forecasting and digital twins can support decision-making in areas such as traffic management, public transport performance, logistics and network planning. 

Rather than focusing on data or technology for their own sake, the session will examine how cities and practitioners use data to answer policy questions, support investment decisions and improve mobility outcomes. Speakers will share practical experiences, lessons learned and transferable approaches that participants can adapt within their own local context. 

The intended output is a practical understanding of how cities can organise data, governance and analytical tools to make better mobility decisions while ensuring transparency, accountability and long-term usability.