Milan
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
systems.
• +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.
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.
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.
