Milan
• +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
Cluster: Data for mobility planning
The use case aims to optimise Milan’s local public transport (LPT) network and services through a Decision Support System (DSS). Through the establishment of a local data space, multiple data sources will be shared and integrated to build algorithms and analysis models.
This includes:
- Data integration: Combining multiple data sources, including static/dynamic LPT data and mobility demand data.
- Designed for stakeholder collaboration: Facilitating the use of a range of actors, including LPT planners, operators, and public administrations.
- Applying specific evaluation criteria: Assessing mobility planning alternatives based on demand, service costs, and sustainability.
By integrating diverse data sources and fostering collaboration among various stakeholders, the DSS will streamline LPT planning in Milan, improving efficiency and sustainability while meeting the city’s mobility demands. The success of the action will be dependent upon the quality and reliability of the data.
Background:
The current LPT network managed by ATPL spans the Metropolitan City of Milan and the provinces of Monza and Brianza, Lodi, and Pavia, covering a diverse area with around 4.9 million inhabitants. ATPL oversees 280 bus lines with over 10,800 daily trips, but it lacks a unified system for optimising LPT services, resulting in a fragmented approach to data and planning. This fragmentation makes the planners’ tasks labour-intensive as they rely on multiple data sources with different structures and qualities.
MaaS-based mobility scenarios
Cluster: Data for mobility planning
The use case aims to model future zero-emission mobility scenarios in Milan to support the transition to sustainable transportation through Mobility as a Service (MaaS) systems, facilitated by the development of EMDS.
This includes:
- Scenario modelling: Integrating multiple data sources to simulate future mobility scenarios and assessing their impact on achieving carbon neutrality.
- Public engagement: Interactive exhibition to gather citizen feedback on MaaS-based mobility scenarios for refinement and planning.
- EMDS: multifaceted support: EMDS supports both data exchange for analysis and the development of MaaS services to realise envisioned scenarios.
The use case focuses on leveraging EMDS to model and refine future zero-emission mobility scenarios, engaging citizens through exhibitions to support the transition to sustainable transportation in Milan.
Background:
Milan, Italy’s second-largest metropolitan city, is facing the challenge of increasing the speed of its well-developed surface public transport, which suffers from traffic congestion, impacting service quality and operating costs. At the same time, the city labors to develop and implement access rules and pricing schemes to achieve the goal of reducing CO2 emissions and pollution, without decreasing the city’s level of accessibility. The inclusion of MAAS service offerings in urban mobility planning can enable the evaluation of future scenarios based on a wide range of sustainable transportation options.
