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Milan aims to develop a decision support system (DSS) for more effective planning of local public transport (LPT) services and to explore changes in user mobility behaviour with a fully developed Mobility as a Service (MaaS). 

The first use case focuses on optimising the LPT network and services through the development of a DSS  and integrating multiple data sources to build algorithms and analysis models. The DSS will allow the  evaluation of the efficacy and efficiency of LPT planning alternatives against a set of identified objectives.

The second use case focuses on modelling future mobility scenarios for carbon neutrality with a fully
developed Mobility as a Service (MaaS). These scenarios will support envisioning a city where zero-emission
mobility is the norm, and citizens can access various sustainable transportation options through MaaS

Selected KPIs

• +300 number of datasets published in the EMDS

• +30 number of new mobility scenarios analysed

• +150 number of citizens involved in the assessment of sustainable mobility scenarios


Milan aims at developing a decision support system which enables more effective planning of local public transport services and exploring how user mobility behaviour will change with the presence of a fully developed MaaS.

Use Case 1

Decision support system for local public transport services planning

Optimising the entire local public transport mobility network consisting of the provinces of Pavia, Lodi, Monza-Brianza and the Metropolitan City of Milan, through the integration of multiple data sources.

Use Case 2

MaaS-based mobility scenarios

Creating MaaS-based future mobility scenarios engaging citizens via an interactive exhibition, to collect their feedback to support planning a sustainable mobility transition in line with the needs of citizens.

Local implementation and pilot partners