Mobile network data for EV
Data to enable smarter decisions for Electric Vehicles
Electric Vehicles are set to transform our roads, but gathering data about usage patterns has historically been challenging.
Citi Logik applies anonymised mobile network data and artificial intelligence to provide businesses and transport planners with insights into all aspects of EV usage.
Insights into:
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EV movements including origin-destination
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EV movements by routes, time of day, commuting / non-commuting
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Optimal location of charging points based on volume of EVs
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Impact on infrastructure based on volume of traffic
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Postcode location of EVs purchased
The value of mobile network data for:
EV manufacturers
Greater insight into consumers to help with decision making
Public sector
Understand EV travel patterns and the impact on infrastructure and traffic management
Forecourt firms
Identify the most financially viable charging locations
EV insight delivered the way you want it
You need more than just the data
We provide clean and robust anonymised mobile network data with off-the-shelf or custom zoning. The data includes origin-destination and demand matrices. Pre-, during and post-Covid data are available. Once the data is filtered and processed, we deliver it in your preferred format and help you gather the insights you need to make decisions.
Custom-built reports, for example using geo-fencing, specific time periods and excluding irrelevant data
Data in CSV or XLSX format or via API for seamless integration
Pictorial representations of data to highlight changes in key metrics and provide actionable insights
Case Studies
Using mobile network data to help assess the impact of Brexit on trade between Northern Ireland and Great Britain
How Surrey County Council developed a strategic transport matrix using Citi Logik data
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EV data solutions derived from mobile and Internet of Things sources
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No fixed infrastructure required
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Data on origin, destination and movements through certain areas
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Visibility on EV volume on the roads
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Insights to help identify charging locations