Published by the Sustainable Urban Transitions (SUT) Lab, the research demonstrates how proprietary data from a shared mobility operator can complement traditional city transport datasets, providing evidence to support decisions on mobility hubs, parking policy, cycling infrastructure, and road safety.
“The best example is the use of micromobility data, including GPS tracks, telemetry data and in-app surveys. These datasets cover millions of data points that allow a spatially and temporally rich study of travel behaviour, route choice, and safety,” an ETH Zürich spokesperson told Cities Today.
The first two pilot projects, launched in Hannover and Seville in 2025, combined Bolt’s operational data with city information and simulation modelling to test how richer datasets could improve transport planning. In Hannover, the analysis identified locations for new mobility hubs that differed from where planners may traditionally have focused investment, with the highest-impact sites largely located in peripheral areas rather than the city centre.
