For the first time, a city government, mobility operator, and research university have combined datasets to produce actionable urban transport recommendations.
At a glance
Who: Bolt Urban Fund; ETH Zurich; Sustainable Urban Transitions (SUT) Lab.
What: Findings of a data-sharing partnership between Bolt, ETH Zurich and SUT shows how micromobility is being used in cities.
Why: To demonstrate which factors can contribute to a higher and safer ridership, and which interventions can support the shift towards sustainable urban mobility.
Where: The pilot projects are taking place in Hannover and Seville.
A landmark data-sharing partnership with Hannover and Seville shows how micromobility is being used in the cities, and which factors can contribute to a higher and safer ridership, and which interventions can support the shift towards sustainable urban mobility.
The partnership marks the first time, a city government, a mobility operator, and a leading research university have combined their datasets to produce actionable urban transport recommendations.
The findings were published by Sustainable Urban Transitions (SUT) Lab, a partnership between ETH Zürich and the Bolt Urban Fund, in two comprehensive reports from its first pilot projects with the cities of Hannover and Seville. The pilots pioneer a new approach to the planning process, by integrating proprietary datasets from Bolt, city datasets, in-App Bolt user surveys, as well as ETH Zurich advanced data science and simulation models.
According to the partners, the results show what cities are missing. In Hannover, simulation modelling shows universal first-and-last-mile connections would reduce car trips by 14 per cent and grow public transport use by nearly 20 per cent, with the highest impact mobility hub locations almost all in the periphery, not the centre.
In Seville, route choice modelling across 90,000 e-bike trips confirms that infrastructure availability is the single strongest predictor of where people cycle. Both findings point to the same conclusion: cities making billion-euro transport decisions without operator data are working from an incomplete picture.
In Hannover, the SUT Lab worked with the city planning team on five sub-studies to improve shared e-scooter use, parking regulation, micromobility safety and first-and-last-mile public transport connections, find optimal mobility hub locations and overall to integrate micromobility and public transport in a multimodal system.
“From travel behaviour to safety analyses, and from parking policies to large Metro expansions, our findings in Hannover and Seville provide a new perspective that can better shape how urban transitions are planned”
Research showed 56 per cent of all shared micromobility journeys connect to public transport and only 2.5 per cent of trips compete with it; while further simulation modelling showing universal first-and-last mile connections would reduce car trips by 14 per cent and public transport use would rise nearly 20 per cent.
Crucially, SUT Lab’s analysis and simulations show the highest impact new mobility hub locations lay in peripheral locations, rather than the city centre, recommending locations in Großer Hillen, Misburger Straße, Fasanenkrug, Nordhafen, Ahlem and Anderten-Misburg.
In Seville, the SUT Lab worked with the city on four sub-studies focusing on how cycling, shared mobility, and public transport can work better together; recommending where to improve cycling infrastructure, identifying safety hotspots, pinpointing when and where traffic bottlenecks occur, and analysing how the new Metro expansion can be better integrated with walking, cycling and shared mobility.
Research supported the City’s PMUS 2030 target of expanding the cycling network to 400km – using route choice modelling of 90,000 e-bike trips to confirm that bicycle lane availability is the single strongest predictor of where people cycle.
In both cities, the SUT Lab conducted an innovative safety evaluation study using telemetry analysis from millions of micromobility journeys, identifying specific risk hotspots that add a new complementary layer onto official accident data, allowing cities to enact and prioritise proactive interventions.
Travel behaviour and demographic analysis also provided both cities with a wealth of information on how micromobility is used, when and by whom, with analysis revealing sharp divergences in gender and age usage across time and location, and identifying interventions (lighting, perceived safety, route comfort) that can make active modes more inclusive and attractive to all.
“That gives us a responsibility to do more than just operate, it means putting our data to work alongside city planners and world-class researchers to help build transport systems that actually function for everyone”
“The SUT Lab is showing how vast amounts of data can be converted into insights for planning teams,” said Bryan Adey, professor of infrastructure management at ETH Zürich. “From travel behaviour to safety analyses, and from parking policies to large Metro expansions, our findings in Hannover and Seville provide a new perspective that can better shape how urban transitions are planned.”
Eirini Zafeiratou, VP policy and regulatory at Bolt, said: “Shared mobility is becoming a genuine part of how people move around European cities every day. That gives us a responsibility to do more than just operate, it means putting our data to work alongside city planners and world-class researchers to help build transport systems that actually function for everyone.
“Our partnership with ETH Zürich and our collaborations in Hannover and Seville is exactly what that looks like in practice.”
The SUT Lab was founded in 2025, with a vision to bridge the science-policy gap in urban planning, and to collaborate directly with city planning teams to optimise and accelerate their Sustainable Urban Mobility Plans (Sumps), accelerating their shift towards better integrated multimodal mobility systems.
Its first pilots were launched with Seville and Hannover in April 2025 with the SUT Lab team from ETH Zurich subsequently analysing millions of Bolt journeys, city mobility data, telemetry data, GPS-linked surveys and building MATSim agent-based simulation models to enable practical, actionable recommendations for both cities.
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How can cities use operator telemetry to prioritize micromobility safety interventions?How would integrating operator and city datasets improve first-and-last-mile planning?How should cities site mobility hubs to maximize car-trip reduction?How can bicycle lane expansion influence e-bike route choice and ridership?How can gender-targeted and age-targeted interventions increase micromobility inclusivity?