Toolkit for Local Areas

Making the EV transition better for all

A New AutoMotive For Local Areas

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Pulling it all together

Beta Author

Written by Beta Author

Module length 30 mins

Last updated

Step by step guide to building a local plan based on everything we have learnt from the previous modules.

This section of the toolkit is being built during the beta development phase and the content below is just a sketch outline to give an idea of what we have planned for the launch version.

There is the scope for automating sections of this such that we would pull data from relevant sources and put it into a repository for you to use.

We will be looking at this kind of automation for future versions of the toolkit once we have had a chance to test different options for the elements that should go into a plan and received feedback on these.

Step 1 - find the Government Statistical Service (GSS) code for the local authority area.

If you do not already know this, then it can easily be found by entering a local postcode into the MapIt website (see Primer).

Step 2 - extract projected local household numbers up to 2030 for your local area from the relevant source.

The sources for this data are different for each of England, Scotland, Wales and Northern Ireland but for each area you should be able to find projections for the period to 2030.

Step 3 - calculate the overall car ownership per household rate for your local area.

This will use DVLA data on car ownership with redistribution of leased cars to where we think they may actually be.

Step 4 - calculate the EV per household rate for your local area.

This will use DVLA data on EV ownership with redistribution of leased cars to where we think they may actually be.

Step 5 - collect information on known factors that may affect demand in your local area.

This means looking at current and planned local transport policies and initiatives that may influence EV takeup and usage.

Step 6 - identify the public chargepoints listed in the National Chargepoint Registry (NCR) for your local area.

This can be done by extracting data from the National Chargepoint Registry (NCR) either using the API to pull from coordinates that cover all of your area or by downloading the entire dataset.

You can plot the chargepoints to a map and overlay your local authority boundary to confirm those inside your area of interest.

Step 7 - check the completeness of the NCR data by comparing it with the chargepoints that ZapMap shows for your local area.

You might use various methods, based on data tables as well as visual representation on maps, to check the various sources of chargepoint data against each other.

Step 8 - identify local groups of EV owners that may be contacted with online surveys

The starting point for this is to search for relevant local groups with their own websites and to look for groups present on social media platforms like Facebook.

Step 9 - set up methods to collect local media stories about EVs.

There are various ways to monitor local media including professional services and Google News Alerts.

Step 10 - build all of this data into a document you can share with local interested parties.


Sources of further information and examples of good practice.

Department for Transport

A wealth of resources on low emission and electric vehicles, including statistics, funding and chargepoint schemes.


Zap-Map helps EV drivers locate available charge points, plan their electric journeys with the route planner, pay for charging on participating networks and share updates with other drivers.

Electric Brighton

A great example of a community initiative promoting the adoption of electric vehicles in the Brighton and Hove area.

London Charge Point Dashboard

A project from the London Office of Technology and Innovation that pulls together data from multiple local authorities to produce a London-wide dashboard showing charge points and their usage.

Energy Saving Trust

The Energy Saving Trust publishes useful information and tools related to electric vehicles on their website.

Access further support from the New AutoMotive team

We want to transition to electric vehicles to be as fast and as smooth as possible. If you would benefit from one of our bespoke workshops, a talk with our team, or if have a request for a customised dataset, we’d love to hear from you.

Team: Ben Nelmes and Andrea Di Antonio
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