Frequencies & Mobility | Special Data
Mobility data
Mobility information is one of the most important decision-making criteria in matters of competition analysis, expansion planning, or location evaluation, as well as in the analysis of commuter flows or the classification of billboard locations.
Our mobility data provide information on the movements of pedestrians, vehicles and local public transport - and this for all nationwide road sections. Alternatively, output is also possible in a Germany-wide grid in areas of 250 x 250 meters. The data is generated via mobile radio data from leading providers and allows both real-time evaluation and tracking of historical results.
Depending on your needs, you can choose from different time intervals:
- Monthly values
- Daily values
- Hourly values, differentiated by weekdays
Frequency data
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.
Foot traffic
*Street segment, Neighbourhood / Micro postal code
From retail locations to public facilities:
Based on the road sections (from TomTom or OSM), we calculated and analyzed around 1.5 million points of interest (POIs) in terms of their frequency relevance. All these objects were evaluated according to their importance for passers-by and their spatial location and classified in a 10-part grid
- 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
Traffic volumes
Our traffic volume data covers traffic levels for more than 9 million road segments in Germany—from highways to local residential streets. The number of vehicles recorded is reported on a weekly, daily, or hourly basis (each based on a 12-month period).
Traffic density is measured for each road segment based on data from TomTom navigation devices or other devices (including SIM cards and devices from automotive partners). Traffic counts (the number of cars and trucks measured) are available for various time intervals:
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)
In addition, the available traffic data—which includes more than 11,000 official monitoring stations operated by the BASt (Federal Highway Research Institute) along highways and federal roads—can be used to obtain a realistic picture of total traffic volume through extrapolation. The monitoring stations record, among other things, the average daily traffic volume (ADT) for weekdays, Sundays, holidays, and vacation days.
Frequency data is used in a wide range of applications and industries:
In location analyses and within the real estate industry, this data helps assess the attractiveness of locations, such as for commercial real estate, residential developments, or retail locations.
In the energy sector, frequency data is used, among other things, to plan charging infrastructure for electric mobility, and in telecommunications to determine the locations of cell towers based on traffic volume and mobility patterns.
In transportation planning and management, this data is useful for developing traffic models, analyzing traffic volumes, and planning roads, public transportation, and transportation networks (optimization).
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.
Logistics and transportation benefit most from route optimization, shorter delivery times, and increased efficiency in transportation networks.
Within the framework of mobility services and smart city concepts, services can be tailored to meet specific needs and transportation efficiency can be improved.