2024 was a year of consolidation and innovation in the mobility sector. In a context characterised by four major challenges (decarbonisation, digitalisation, maintenance and implementation of interventions financed by the PNRR), our company continued to support public administrations, mobility agencies, transport operators and infrastructure managers in addressing these complexities.

 

The pressure on technical structures, exacerbated by a shortage of human resources and specific skills, has highlighted the need for a more systemic vision and effective management of infrastructure, which, frankly, has been lacking.

 

In this scenario, GO-Mobility has strengthened its role thanks to its expertise in advanced Big Data analysis, becoming a point of reference in supporting strategic decisions through innovative solutions.

 

 

 

At the same time, we are witnessing the evolution of transport demand, which has shown contrasting dynamics: while extra-urban car traffic has exceeded pre-pandemic levels, local public transport and rail transport are struggling to recover.

 

In contrast, air traffic and high-speed rail traffic are experiencing sustained growth, driven mainly by the tourism sector.

 

On the freight front, in 2024, the contraction of certain industrial sectors and disruptions due to works and accidents on the rail network favoured road transport, with negative prospects for rail traffic.

 

 

 

 

 

Over the past year, GO-Mobility has consolidated its partnership with leading data providers, first and foremost Vodafone Analytics, expanding the opportunities for using new data sources and data visualisation tools.

 

In addition, the integration of generative Artificial Intelligence into business processes has enabled us to optimise workflows, reducing time and improving the operational efficiency of our teams.

 

Looking ahead to 2025, there are two main strategic challenges we intend to address. The first concerns the development of synthetic populations using agent-based models to realistically simulate people’s mobility behaviours.

 

The second challenge is the creation of AI agents specialised in the analysis of Local Public Transport (LPT) databases, in order to support our customers in information management and thus compensate for the chronic shortage of analytical skills in the sector.