Based on the challenge above, there is a need for a solution that enables local units and their stakeholders to define unit-level mobility strategies and implement concrete actions, while remaining aligned with city-, national-, and EU-wide mobility and sustainability objectives. Therefore, we propose Adaptive Unit Mobility Footprint Analytics (AUMFA) – a data-driven, multi-scale framework that produces mobility-footprint profiles for spatial units ranging from individual buildings and campuses to neighbourhoods, districts and entire cities. The system
combines spatial and mobility data with contextual information about infrastructure and accessibility. It makes results accessible not only to planners, but also to other stakeholders, including citizens, to offer transparency, empowerment and actionable insights. The framework works roughly in three stages. First, it integrates spatial data (e.g., land-use, buildings, services, transport infrastructure) with empirical mobility data (e.g., publictransport
logs, anonymised mobile-positioning or other movement data). Second, it derives for each urban unit a set of indicators describing what that place “enables” – how accessible it is, how well connected, what transport modes and services are within reach. Third, it computes a “mobility footprint profile” for each unit while capturing typical travel demand, modal split (e.g., public transport, walking, cycling, private vehicle), travel distances and inferred environmental impact (e.g., emissions). The results are then made available through a
user-oriented interface, allowing users to see how the built environment, infrastructure, and everyday mobility behaviour interact. It therefore empowers individuals and communities by giving them insights into their mobility footprint, as well as the structural constraints and opportunities in their immediate surroundings. In doing so, it supports demand-driven, equitable and sustainable mobility planning grounded in their lived realities.
