Explore/Discover
How accessible are different activities? Who is being serviced well by local mobility options—and, on the other hand, who is not?
Explore the mobility in your region—for different modes and groups of people.
Classify
What do the findings mean for your region? What questions arise based on the differences?
Assess local mobility—and use the results as a starting point for discussions and further analysis.
Compare
How do mobility conditions differ? Is it the modes of transportation that make the difference—or the local activities available on a daily basis? Compare mobility in your region with that of another.
Why everyday trips and activities are key to assessing mobility.
At the end of every trip is an activity—either we’re meeting friends, heading to do sports, or grocery shopping. How frictionless people are able to get to their daily activities says much more about the quality of mobility than the number of transit stops.
mobi.mapr is therefore human-centered: What do people do in their day to day – and how do they get there?
Mobility is evaluated based on how it is actually experienced: Objective routing data, real time calculations – such as trip time, transfers, or looking for parking – and subjective qualitative dimensions are systematically taken into account.
The outcome is a realistic measure of mobility quality – drawn from people’s everyday lives and translated into an easy-to-understand rating based on the school grading system.
Current Analyses and Insights
From local services to leisure activities and social inclusion – mobi.mapr can be used to address a wide range of issues. Here you’ll find the latest posts.
A Common Ground for the Future
Development of Mobility
One Click. No regisitration. Free to use.
mobi.mapr shows how mobility in the day-to-day works. How mobility came to be and how it is constantly changing is not decided based on maps – but rather in concrete decisions:
by communities, government agencies, businesses, and political processes.
Therefore, mobi.mapr offers a common, fact-based foundation – for anyone who wishes to understand and influence mobility: from politicians, to citizens and community inititatives and/or businesses.
As an orientation for discussions, to help set priorities or aid in making decisions as locally as needed.
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FAQs
mobi.mapr evaluates mobility based on the accessibility of everyday activities—starting from each individual location. The analysis is based on small-scale areas (hexagons) that cover the entire territory of Germany.
For each of these hexagons, the system calculates how long it takes people to reach relevant destinations—such as shopping, work, or leisure activities—using various modes of transportation. In addition to pure travel times, the calculation incorporates realistic factors, such as extra time for parking or differences in the quality of routes.
Instead of considering just a single destination, the three closest options are included and weighted. This results in an average travel time for each hexagon.
This is then compared with similar regions. The result is an index that describes local mobility quality and shows how well mobility functions—and how it ranks in comparison.
mobi.mapr is based on a combination of various data sources that map mobility from different perspectives.
To map everyday destinations, mobi.mapr primarily uses open geodata—specifically from OpenStreetMap. Depending on the research question, additional datasets are also incorporated.
For population distribution, mobi.mapr relies on official statistics, such as those from DESTATIS.
Furthermore, insights into mobility behavior and qualitative aspects are incorporated into the analyses—such as the perceived quality of routes, for example from the ADFC Bicycle Climate Test.
All data is consolidated into a unified model and systematically evaluated. An overview of all data sources used is available directly in the tool via the info icon.
mobi.mapr evaluates mobility not from the perspective of service offerings, but from the perspective of people’s daily lives (activity-based rather than service-centered): While traditional analyses often focus on infrastructure, network coverage, or service frequencies, mobi.mapr shows how effectively people actually reach their daily destinations—such as shopping, work, or leisure activities.
To do this, mobi.mapr combines objective route data with real-world factors (e.g., time spent parking) and additional qualitative aspects, such as infrastructure features or survey results, and synthesizes them into a unified assessment.
The analysis is conducted at a granular level based on a Germany-wide hexagonal grid. This makes differences visible—even across administrative and settlement structure boundaries.
