CASE STUDY

Modelling electric vehicle charging for a more sustainable Slough Borough Council

Slough Borough Council is on a mission to increase coverage of electric vehicle (EV) charging locations. 

|2 MIN READ

Challenge

The council aims to make sure every resident without off-street parking – from around 25,000 properties – is within five minutes of a charging point. 

Solution

The council has used OS NGD data, along with third party information and GIS modelling, to visualise roads and intersections, applying spatial calculations to predict the most effective locations for new EV charging points.

Mapping highlighting previous EV coverage
Mapping highlighting proposed EV coverage

"The OS data was the most reliable source. The model would have failed without it."

Luis Gomes, Geospatial lead for Slough Borough Council

Result

The model has delivered accurate, data-driven recommendations for EV infrastructure planning, increasing potential coverage (properties within five minutes’ walk of a charging point) from 11% to 90%.

The council now has a more informed approach to supporting sustainable transport, and the increasing demand for EV.

What is the OS National Geographic Database?

The OS National Geographic Database (NGD) is a single store of Ordnance Survey’s authoritative data for Great Britain. It’s built for analytical uses and is designed to be the bedrock of more intelligent solutions. It reduces the complexity towards insight and getting the answers you need.

Data from the OS NGD can be accessed via the OS Data Hub using our OS Select+Build configuration and download service or via APIs.

Access via the OS Data Hub

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