Here is where you find answers to frequently asked questions about mobi.mapr. If your question is not answered here, we’re happy to answer you directly via email at mobimapr@bw-im.de.
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General (12)
Yes, we occasionally offer informational sessions such as lunch talks or webinars. During these sessions, we provide insights into the tool, demonstrate specific use cases, and answer questions about how to use it.
We share updates on upcoming events and other information in our newsletter.
mobi.mapr does not use any tracking methods to identify individual users. No personal data is collected or stored.
For the technical operation and further development of the platform, only anonymized usage data is collected—such as which features are used and how often. This data is used exclusively to improve the application and ensure stable operation.
If you have any further questions, please feel free to send us an email: mobimapr@bw-im.de
If you have any further questions or would like to provide feedback, you can contact us by email at any time:
mobimapr@bw-im.de
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.
Die Gesamtbewertung basiert darauf, wie gut alltägliche Aktivitäten erreichbar sind – etwa Einkauf, Arbeit oder Freizeit. Dafür wird berechnet, wie viel Zeit Menschen im Alltag benötigen, um diese Ziele zu erreichen – unter Berücksichtigung von Distanz, verfügbaren Verkehrsmitteln und realistischen Wegezeiten (Mobilitätszeit).
Diese Zeiten werden anschließend mit strukturell vergleichbaren Regionen ins Verhältnis gesetzt. So entsteht ein Index, der zeigt, wie gut Mobilität vor Ort funktioniert.
Die Einordnung erfolgt in einem leicht verständlichen Bewertungssystem von A (sehr gut) bis F (sehr schlecht).
Dabei werden die einzelnen Aktivitäten unterschiedlich gewichtet – je nach ihrer Bedeutung im Alltag. So spielt es beispielsweise eine größere Rolle, eine Auswahl an Restaurants zu erreichen, als Briefkästen.
Yes, mobi.mapr is freely accessible and can be used at no cost.
We want to make mobility data understandable and usable for everyone. That is why analyses and results can be used in various public contexts—such as in presentations, publications, academic settings, media reports, or civil society work.
The underlying data is available under the CC-BY-4.0 license. It may be used freely, including for commercial purposes.
The following applies equally to the use of analyses, results, and data:
Please cite the following source:
Or alternatively, in short form:
We would appreciate a brief notification regarding publications sent to mobimapr@bw-im.de.
mobi.mapr aims to make mobility data understandable, accessible, and comparable—for everyone who wants to understand and shape mobility: from policymakers and government agencies to citizens, initiatives, and businesses.
To this end, the platform simplifies complex relationships and presents them in an easy-to-read format on maps. This reveals how mobility actually works in everyday life.
mobi.mapr is open to everyone—no registration required and free of charge. This creates a shared, fact-based foundation for discussion, analysis, and local decision-making.
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.
Everyday mobility refers to trips made regularly in daily life—such as for shopping, work, school, leisure, or socializing.
The focus here is not on individual trips, but on how easily people can reach their typical daily destinations.
The selection and weighting of these activities are based on the study “Mobility in Germany,” which maps the actual mobility behavior of the population. This ensures that the analysis reflects real-world daily needs.
mobi.mapr shows how well mobility works in everyday life—that is, how easily people can reach everyday destinations such as shopping, work, or leisure activities.
At its core, the analysis is based on the accessibility of these activities: the best routes are calculated for every location and every mode of transportation combination. In addition to pure travel times, realistic factors are also taken into account, such as additional time requirements (e.g., for parking) or qualitative aspects like satisfaction with mobility conditions (e.g., from the ADFC Bicycle Climate Test).
Mobility time describes the actual time people need to reach their daily destinations. In addition to travel time alone, it also takes into account additional time spent on activities such as parking or locking up a bicycle. Furthermore, for each combination of location, activity, mode of transportation, and profile, multiple possible destinations are included and weighted against one another. This results in a realistic, everyday-life-based time estimate—not for a single route, but for the typical journey to an activity.
Mobility quality classifies this time: It uses an easy-to-understand rating system to show how well the travel time compares to structurally similar regions.
The rating is calculated exponentially—meaning that differences in short travel times carry more weight than those in longer journeys.
mobi.mapr is a project of the Baden-Württemberg Institute for Sustainable Mobility (BWIM)—an independent think tank and action group dedicated to sustainable mobility.
The platform is backed by an interdisciplinary team of experts from various fields who are continuously developing mobi.mapr.
For more information about BWIM, visit bw-im.de.
Data (1)
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.
Model (4)
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.
Die Gesamtbewertung basiert darauf, wie gut alltägliche Aktivitäten erreichbar sind – etwa Einkauf, Arbeit oder Freizeit. Dafür wird berechnet, wie viel Zeit Menschen im Alltag benötigen, um diese Ziele zu erreichen – unter Berücksichtigung von Distanz, verfügbaren Verkehrsmitteln und realistischen Wegezeiten (Mobilitätszeit).
Diese Zeiten werden anschließend mit strukturell vergleichbaren Regionen ins Verhältnis gesetzt. So entsteht ein Index, der zeigt, wie gut Mobilität vor Ort funktioniert.
Die Einordnung erfolgt in einem leicht verständlichen Bewertungssystem von A (sehr gut) bis F (sehr schlecht).
Dabei werden die einzelnen Aktivitäten unterschiedlich gewichtet – je nach ihrer Bedeutung im Alltag. So spielt es beispielsweise eine größere Rolle, eine Auswahl an Restaurants zu erreichen, als Briefkästen.
Yes, mobi.mapr is freely accessible and can be used at no cost.
We want to make mobility data understandable and usable for everyone. That is why analyses and results can be used in various public contexts—such as in presentations, publications, academic settings, media reports, or civil society work.
The underlying data is available under the CC-BY-4.0 license. It may be used freely, including for commercial purposes.
The following applies equally to the use of analyses, results, and data:
Please cite the following source:
Or alternatively, in short form:
We would appreciate a brief notification regarding publications sent to mobimapr@bw-im.de.
Mobility time describes the actual time people need to reach their daily destinations. In addition to travel time alone, it also takes into account additional time spent on activities such as parking or locking up a bicycle. Furthermore, for each combination of location, activity, mode of transportation, and profile, multiple possible destinations are included and weighted against one another. This results in a realistic, everyday-life-based time estimate—not for a single route, but for the typical journey to an activity.
Mobility quality classifies this time: It uses an easy-to-understand rating system to show how well the travel time compares to structurally similar regions.
The rating is calculated exponentially—meaning that differences in short travel times carry more weight than those in longer journeys.