Data Products
The move to electric vehicles requires significant investment in vehicles, real estate and infrastructure. These investments are particularly challenging in new, fast-moving and unpredictable markets. There are many opinions on what to do when and where, but only clear, robust data analytics will define what makes the transition a success. This is what we deliver.
Our Data Sets
EV Map
EV Map, developed by Field Dynamics, is a highly detailed dataset that assesses the ability of households to park and charge electric vehicles safely on their property while ensuring easy access to the road. By analysing over 27 million properties across Great Britain, EV Map provides a parking score for each household, helping identify locations with limited off-street charging potential.
Using Ordnance Survey’s OS MasterMap Topographic Layer and Field Dynamics’ advanced spatial algorithms, EV Map delivers hyper-granular insights into both residential and public charging needs. This allows Local Authorities, Distribution Network Operators (DNOs), and Charge Point Operators (CPOs) to strategically plan charging infrastructure with confidence.
Available in .csv format, via API, or as a shapefile, EV Map integrates seamlessly with stakeholder tools, making it easier to visualise charging demand, prioritise investment, and support the transition to electric mobility.
FleetMap
FleetMap, developed by Field Dynamics, provides a consistent, data-driven view of fleet charging demand to support the strategic deployment of EV infrastructure for vans. By analysing real-world telematics data, FleetMap helps businesses, local authorities, and charge point operators identify key locations for fleet charging, ensuring that infrastructure is placed where it will have the greatest operational impact.
Using MOT mileage data and telematics insights Field Dynamics estimates that by 2050, vans will require 26% of all EV charging power, with much of this demand coming from overnight stops where vehicles must start the day fully charged. This dataset has been processed by Field Dynamics and mapped to Lower Super Output Areas across Great Britain, providing an unparalleled view of fleet charging behavior.
Available as a structured dataset for investment papers, business cases, and EV strategy development, FleetMap enables organisations to plan with confidence, optimise fleet charging networks, and support the transition to electric mobility.
GigaMap
GigaMap, developed by Field Dynamics, provides a granular, data-driven view of future EV energy demand, helping stakeholders plan for the transition to electric vehicles.
By analysing 140 million MOT mileage records and pairing each vehicle with an equivalent battery electric vehicle (BEV) model, GigaMap delivers highly accurate EV energy demand estimates mapping demand down to the Lower Super Output Area (LSOA) level, allowing DNOs, policymakers, and infrastructure planners to optimise grid investment and charging infrastructure.
With transparent, model-ready insights, GigaMap enables smarter, data-driven decisions about network capacity and future EV adoption. Designed for seamless integration, it empowers analysts to forecast and plan with confidence.
Pavement Widths
PavementWidthMap, developed by Field Dynamics, provides granular measurements of pavement widths outside every on-street residential property, enabling smarter EV charge point placement. Designed for on-street charging, lamppost provision and charge gulley placement, it helps local authorities and infrastructure planners assess pavement suitability to ensure accessibility and compliance.
Using OS MasterMap Topography Layer, PavementWidthMap delivers accurate spatial data, helping stakeholders identify areas where on-street charging infrastructure can be safely deployed.
Available as a one-off dataset in multiple formats (shp, tab, gpkg, csv), it integrates seamlessly into mapping and planning tools. With clear, location-based insights, PavementWidthMap supports efficient, data-driven decisions for EV infrastructure development.
Demand Zoning
Demand Zoning, developed by Field Dynamics, helps local authorities and infrastructure planners prioritise EV charging deployment by categorising Lower Super Output Areas (LSOAs) based on their charging needs.
By classifying areas as Public, Public-Commercial, Commercial, or Off-Street, it enables a data-driven approach to identifying locations where on-street or public charging is most critical.
Integrated into mapping tools, Demand Zoning dynamically updates to highlight areas with the highest demand, ensuring investment and planning efforts are focused where they matter most. With clear, categorised insights, stakeholders can strategically allocate resources and optimise EV infrastructure to support widespread adoption.
