If you are a software provider dealing with low user adoption of multi-modal apps — this project developed digital twinning and behavioral models that help predict and implement the most promising mobility interventions. This allows for a more precise design of user-centric transport services.
Smart Integration of Public Transport and Micromobility for Climate-Neutral Cities
Imagine your city's travel as a giant puzzle where buses, e-scooters, and walking don't quite fit together. This effort creates a digital map and a set of tools to make these different ways of moving work as one seamless system. It's like building a better GPS for city planners to see exactly how to get more people out of cars and onto public transit.
What needed solving
Urban public transport is often underused and perceived negatively, leading to high CO2 emissions and traffic congestion. Cities lack the data-driven tools to integrate buses with micromobility and active transport effectively.
What was built
A suite of 55 smart mobility solutions, digital twinning tools, and behavioral models for transport planning.
Who needs this
Who can put this to work
If you are a transport operator dealing with underutilised bus lines and high CO2 emissions — this project developed 55 smart green inclusive mobility solutions. These tools help increase the modal share of public transport and improve user satisfaction.
If you are a consultancy dealing with the difficulty of scaling transport pilots across different city sizes — this project developed a twinning and transferability model tested across 11 cities. This enables the rapid adaptation of successful mobility strategies from lead cities to smaller urban areas.
Quick answers
What is the cost or pricing model for these tools?
Based on available project data, no specific pricing or commercial cost for the resulting tools is mentioned; the project is funded by an EU contribution of EUR 14,600,074.
Can these solutions be scaled to other cities?
Yes, the project uses a network of 11 Living Labs, including 4 lead cities and 7 twinning cities, specifically to ensure the solutions are transferable and replicable.
Who owns the IP or licensing for the digital twins?
Based on available project data, specific IP and licensing terms are not detailed, though the project emphasizes the use of open data.
How does this integrate with existing city data?
The project utilizes open data and digital twinning tools to build scenarios and test mobility interventions within current city systems.
What is the timeline for deployment?
The project period runs from 2023-01-01 to 2026-12-31, indicating a multi-year development and testing cycle.
Who built it
The consortium is heavily weighted toward practical application, with 19 industry partners (44% ratio) and 8 SMEs. This strong industrial presence, combined with 16 countries and a mix of transport engineers and data analysts, suggests the project is geared toward commercial viability rather than pure academic research.
Contact INLECOM INNOVATION ASTIKI MI KERDOSKOPIKI ETAIREIA in Greece
Talk to the team behind this work.
Contact us to explore licensing for the 55 mobility solutions developed under SPINE.