Data analytics solutions for urban mobility

  • How do people move around a city?
  • Which areas experience the highest levels of congestion?
  • Which infrastructures are most used, and what behaviours influence mobility flows?

 

Every day, thousands of people move through urban areas, choosing different routes, changing modes of transport, avoiding congestion and travelling for work, education or leisure. Understanding these dynamics makes it possible to design more efficient mobility systems, more accessible services and infrastructure that truly reflects users’ needs.

From transport network planning to the development and updating of Sustainable Urban Mobility Plans (SUMPs), understanding how urban mobility evolves is the starting point for guiding policies and infrastructure investments.

Our analyses combine anonymised mobility data from mobile networks, GPS and mobile applications, vehicle Floating Car Data (FCD), and other public and proprietary data sources to reconstruct travel patterns across space and time, monitor road network usage, and analyse mobility flows, stops and how people use urban environments.

The benefits of data analytics solutions for urban mobility

Urban mobility data analysis provides a comprehensive view of how cities function on a daily basis, transforming millions of journeys into actionable insights for planning services, infrastructure and mobility policies.

By integrating multiple data sources, it is possible to monitor changes in transport demand, identify congestion hotspots, detect key urban attractors and understand the role of different modes of transport.

The analyses also provide valuable insights into driving behaviour, the impact of roadworks, vehicle fleet composition and the use of transport infrastructure, helping public authorities, transport planners and mobility operators develop strategies based on objective, data-driven evidence.f

Who urban mobility data analytics solutions are for and the challenges they address

Public authorities: planning and sustainable mobility

  • Understanding mobility trends across urban areas
  • Support for the development and updating of Sustainable Urban Mobility Plans (SUMPs)
  • Analysis of the use of sustainable transport modes

Transport and mobility planners: flow analysis and service optimisation

  • Monitoring emerging mobility needs
  • Identification of congestion hotspots and alternative routes
  • Identification of key urban attractors

Mobility operators and infrastructure managers: demand analysis and service optimisation

  • Multimodal mobility analysis
  • Understanding how mobility services and infrastructure are used
  • Support for the placement of shared vehicles, car parks, charging stations and refuelling stations
  • Analysis of catchment areas and infrastructure performance

Key insights and indicators to support urban mobility planning

Urban population analysis

  • Profiling residents and non-residents
  • User classification based on mobility behaviour
  • Comparative analysis and integration with official SUMP statistics

 

Mobility flow analysis

  • Origin–Destination (O/D) matrices across different urban zones
  • True Origin / True Destination analysis
  • Analysis and distribution of multimodal journeys
  • Analysis of vehicle flows and road network usage through GPS data
  • Monitoring traffic conditions, driving behaviour and the impact of roadworks

 

Urban attractor and infrastructure analysis

  • Co-visitation analysis of points of interest
  • Identification of key urban mobility attractors
  • Analysis of length of stay and travel characteristics
  • Analysis of short- and long-term parking, including vehicle classification by powertrain, parking duration and distance travelled
  • Analysis of refuelling stations, catchment areas and capture rates of both owned and competitor stations

 

Road safety analysis

  • Analysis of traffic flow and accident scenarios
  • Support for predictive models to guide infrastructure planning and interventions

Change the way you interpret human mobility!