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Traffic light system signals pavement width to support social distancing

Verisk 3D Visual Intelligence use remote sensing and machine learning technologies to gather, store, process and deliver highly accurate geographic and spatially referenced information.


With social distancing playing a key role in the national response to Covid-19, UKMap users asked if data on pavement widths was also available. To meet this demand, Verisk 3D Visual Intelligence needed to quickly develop a method to analyse the database to deliver a pavement width map containing crucial information to those planning and implementing government guidelines.


Using FME Desktop and supported by 1Spatial, a member of Verisk 3D Visual Intelligence team waere able to analyse and calculate the average width of pavements, and quickly supply the data as a value-add to UKMap. Users can clearly and quickly identify the space available thanks to a colour-coded traffic light system: Green being a width of more than three metres; yellow showing pavements of between two and three metres; and red indicating an average width of less than two metres.

Case Study

Traffic light system signals pavement width to support social distancing

“Many organisations across Greater London are already using UKMap but with social distancing putting a spotlight on space such as pavements, we’re all having to think about our environment in a different way. Responding to Covid-19 has been a catalyst for doing things differently, driving innovation by using existing tools to rapidly react to new challenges to deliver unambiguous, easy-to-use data.”

Tom Timms Managing Director, Verisk 3D Visual Intelligence

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