Frequencies & Mobility | Special Data
Mobility data
Today, mobility data is among the most important factors in location assessments, expansion strategies, and infrastructure planning.
Our mobility data provides valuable insights into the movements of pedestrians (pedestrian traffic counts) and vehicles (traffic counts). Through our extensive network of partners, we offer you the data solutions that best meet your needs—whether you require comprehensive information covering an entire country or specific analyses for individual locations.
Depending on your needs, you can choose from different time intervals:
- Monthly values
- Daily values
- Hourly values, differentiated by weekdays
Traffic Data | Traffic and Pedestrians
Our frequency data is cross-industry, high-quality information which, in conjunction with other meaningful market and geodata from the Nexiga database and powerful software solutions such as the Nexiga Market Analyst, is an indispensable component for spatial assessments.
Traffic volumes
Through our partner product , TomTom Traffic Density, we provide detailed information on average traffic density—broken down by direction of travel, day of the week, and time of day—for more than 9 million road segments in Germany, ranging from highways to local residential streets.
The data is based on billions of anonymized GPS and floating car data signals from over 600 million connected devices and vehicles worldwide. Traffic volume data is available for 55 countries—regional breakdowns are also possible.
Traffic frequency hourly basis
- Frequency per hour from 12:00 a.m. to 11:59 p.m.
or
- Aggregated over any other hourly intervals, e.g., from 6 a.m. to 9 a.m.
Traffic frequency daily basis
- Frequencies by day of the week (Monday through Friday)
- Weekend schedules (Saturday, Sunday)
- Daily averages (Monday through Sunday)
Other options
With origin-destination analyses based on TomTom traffic data, you can understand how vehicles move between their starting points and destinations, which routes they take, and which regions are connected.
For Germany, we are happy to provide you with a traffic volume projection. To do this, we combine available traffic frequency data with information from more than 11,000 official monitoring stations operated by the Federal Highway Research Institute (BASt) along highways and federal roads. The Nexiga projection provides a realistic overall picture of traffic volume.
Foot traffic
The Foot Traffic Atlas (PFA) identifies areas with high foot traffic relevant to retail. Rather than focusing solely on walk-in customers, the PFA specifically analyzes the attractiveness of micro-locations—down to the street level, across the entire region, and throughout Europe.
To this end, millions of points of interest (POIs) were analyzed for their relevance to foot traffic. All of these locations were evaluated based on their significance to pedestrians and their spatial location, and classified into a 10-point scale.
*Street segment, Neighbourhood / Micro postal code
- 1-a position
- 1-a to A position
- A-location
- Top district/central outskirts location
- Good district/center outskirts location
- District/center outskirts
- Moderate district/center fringe location.
- Rather low pedestrian frequency
- Low pedestrian frequency
- Low pedestrian frequency
- no pedestrian frequency
GPS data
Today, modern smartphones provide valuable mobility data with unprecedented accuracy: Apps running in the background—such as weather, navigation, or leisure apps—continuously transmit anonymized GPS locations. This so-called in-app data enables the analysis of movement and footfall patterns—with significantly greater granularity than traditional cellular data for individual locations.
All data is anonymized, aggregated, and analyzed and provided exclusively in a manner that complies with data protection regulations.
Our footfall data consists of high-quality, cross-industry information that, when combined with market and geodata from the Nexiga database and powerful software solutions such as Nexiga Market Analyst, is an indispensable component of spatial analysis.
Frequency data is used in a wide range of applications and industries
In geomarketing, foot traffic data supports the application of location analysis. It provides a clear assessment of the visibility and foot traffic of new locations.
Traffic data is the foundation for identifying traffic hotspots and optimizing urban mobility.
In transportation planning and management, traffic volume data is essential for developing traffic models, analyzing traffic volumes, and planning roads, public transportation, and transportation networks (optimization). The focus is on monitoring traffic volumes and capacity bottlenecks.
In the energy sector, traffic data is used, among other things, to plan charging infrastructure for electric vehicles. In the telecommunications sector, it is also useful for determining the optimal locations for cell towers, based on traffic volume and mobility patterns.
Using precise data on demographics, catchment areas, and locations, you can identify the most attractive retail locations, compare hotspots, and pinpoint your competitors—enabling you to make the best decisions for expansion, sales, and marketing. This data helps you analyze potential customer traffic and accessibility.
In the real estate industry, mobility data helps assess the attractiveness of locations, such as for commercial properties, residential developments, or retail sites.
Foot traffic data helps in evaluating OOH and DOOH advertising spaces.
Logistics and transportation benefit most from route optimization, shorter delivery times, and increased efficiency in transportation networks.