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Staterra

Understanding active travel with open data

Understanding active travel with open data

Cities are complex transport networks with many types of road users and pedestrians sharing the same congested routes. To facilitate more active travel, we need to better understand how pedestrians navigate their way to work, leisure, retail and other amenities. Only then can planners understand where the most attention is needed and where investment in active travel will add the greatest value. Arup developed the Staterra (formerly known as uMove) toolkit to examine urban network quality for active travel as perceived by its users, informing better active travel and placemaking decisions.

How it works

Staterra is an active travel analysis tool that automates the processing of hundreds of thousands of data points at a time, highlighting movement preference and route quality across our urban environments. The tool helps planners to understand:

  • People‚Äôs preferred or most appealing route (not the most direct)

  • The quality of roads and paths surrounding key points of interest (e.g., schools) Where relative demand and usage may be the highest

  • The dispersion of footfall near retail or leisure amenities

Staterra brings incredible speed to many formerly time-consuming processes, analysing hundreds of thousands of streets at once. Staterra also understands what makes active travel appealing, generating a composite score on quality that considers: distance, green space, elevation, land-use and traffic levels. With Staterra you can plan active travel schemes with data-driven techniques, enabling much larger coverage and a more comprehensive and unbiased approach.

Featured project

Using Staterra to help create safe, inclusive and welcoming cities

Arup was commissioned by Manchester City Council (MCC) to undertake a review of the city centre walking network and develop a prioritised schedule of small-scale interventions to improve the environment for walking. Our Staterra toolkit allowed us to review a large study area in a few short days and prioritise improvements based on key journey metrics and walkability analysis.

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(c) Paul Dingman (c) Paul Dingman