Mobile network data for Park and Ride
Data to enable smarter decisions for urban transport planning
Park and Ride services need to be carefully located and must leverage existing commuter behaviour patterns to be effective.
Citi Logik data enables planners to locate services based on traffic movements and to understand the origins and destinations of potential users.
Insights into:
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Potential passengers driving past Park and Ride locations
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Origin-destination of commuting traffic
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Optimal location of new sites
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The potential for the provision of EV charging
The value of mobile network data for Park & Ride planning:
Traffic management
Real-time insights into traffic movements
Urban planning
Identify optimal locations for Park and Ride services
Emissions tracking
Understand the impact of Park and Ride services on emissions
Park and Ride insights delivered the way you want them
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.
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
Park and Ride Data Summary
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Park and Ride data solutions derived from anonymised mobile network data 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 traffic volume
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Insights to help identify optimum Park and Ride locations