Project Summary

UrbanTide, in collaboration with Edinburgh University is
developing the uMove_AictiveRoutes tool. This will use
unique and innovative AI and advanced analytics to reveal
travel behaviour patterns among commuters and leisure
cyclists in Edinburgh, offering insights into journey purposes
and route selection. This solution addresses the lack of
understanding of route purpose and selection for active
travel behaviours, which hinders effective infrastructure
planning. By integrating data from multiple sources,
including the Cycling Scotland Open Data Portal, Edinburgh
Universities timestamped UniCycle bike hire data, and
Sustrans impact reports, the solution aims to showcase
how new innovative network analysis and AI exploitation
techniques can provide accurate insights on travel
behaviours to inform decisions that reduce car dependency,
congestion, and pollution. Ultimately, this supports progress
toward active travel goals, improves user experience, and
contributes to climate targets