Imagine a city where you don't need to own a car because every possible ride—from scooters to shuttles—is linked in one easy app. It's like a digital glue that connects public buses with shared electric vehicles to make commuting seamless. The goal is to make getting around town as easy as a single click while cleaning up the air.
Cities struggle with traffic congestion and high CO2 emissions because public transport is often disconnected from shared micromobility. There is a lack of viable business models to make these integrated services financially sustainable.
A data-driven mobility intelligence platform (AI4BI) and 8 New Mobility Services (NMS) demonstrated through reports on user acceptance and infrastructure adaptations.
If you are a MaaS provider dealing with fragmented transport options — this project developed multimodal MaaS solutions that integrate shared mobility with public transport. This allows you to offer a single, unified user experience for passengers.
If you are an AI firm dealing with inefficient urban traffic flow — this project developed a data-driven mobility intelligence platform (AI4BI). This helps you provide cities with tools to monitor and optimize shared mobility based on local needs.
If you are a city authority dealing with high CO2 emissions and congestion — this project developed NMS business model blueprints. This provides a roadmap to transition from car-centered systems to climate-neutral mobility.
Based on available project data, specific pricing or cost details are not provided; however, the project focuses on developing sustainable and financially viable business models.
The solutions are being tested and scaled across 8 European cities, including 4 lead cities (Amsterdam, Copenhagen, Munich, Turin) and 4 twinning cities (Ljubljana, Porto, Helsinki, Paris).
Based on available project data, specific licensing terms are not mentioned, but the project emphasizes an Open Innovation Ecosystem and open mobility dataspaces.
The project aligns with the European Green Deal and the Sustainable and Smart Mobility Strategy, providing policy recommendations for urban mobility planning.
Integration is achieved through digital enablers, mobility hubs, and the adaptation of physical infrastructure as detailed in the demonstrator reports.
The consortium is heavily industry-driven, with 24 industrial partners (55% ratio) and 10 SMEs, suggesting a strong focus on commercial viability. With 44 partners across 16 countries, the project has significant cross-border market reach and a balanced mix of 4 universities and 6 research centers to support the technical development of the AI4BI platform.
Contact URBAN ELECTRIC MOBILITY INITIATIVE (UEMI) GGMBH in Germany
Contact us to explore the NMS business model blueprints for your city.
