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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Model (5)
The overall ranking is determined by comparing all regions under consideration. Each region is classified based on its mobility quality and ranked accordingly. >>More information on the calculation
When selecting a specific municipality, the results also show how it compares to structurally similar regions. This comparison is based on the RegioStar7 classification.
This allows, for example, cities to be evaluated not only overall but also specifically in comparison with other cities.
This feature is currently not available in the public view. The reason is that rendering all hexagons across larger regions is very computationally intensive—both for the server and for the browser.
We plan to introduce a subscription service in the future. This will make it possible to display larger regions at the hexagon level as well.
Until then, you can already download larger regions as GeoJSON and further analyze them at the hexagon level in GIS software such as QGIS.
To calculate public transportation routes, mobi.mapr uses the MOTIS routing engine. It calculates a connection on a weekday (e.g., Tuesday) for typical times of activity (e.g., a visit to a restaurant at 7:00 p.m.).
The analyses are currently based on scheduled timetables (target timetables). Actual factors such as delays, service cancellations, or passenger volume are not yet taken into account.
The results thus show how well public transportation functions under scheduled conditions. Expansions to include additional quality aspects are currently being planned.
mobi.mapr currently takes into account the following modes of transportation: “walking,” “bicycle,” “public transportation,” and “car.” The analyses are based on average usage patterns.
We are working on refining these profiles in the future—for example, to account for different mobility needs (such as mobility limitations) or additional modes of transportation like e-bikes.
mobi.mapr displays only areas relevant to the analysis of everyday mobility—that is, places where people live or where typical destinations are located.
Areas with no discernible use, such as uninhabited areas, forests, or agricultural land, are therefore grayed out.
To define these areas, mobi.mapr uses population data, which is initially available at a resolution of 1 km² and is then applied to the smaller hexagons. Additionally, data from OpenStreetMap is used to determine where buildings are located. Based on this, the population is distributed within the hexagons.
Tool (15)
Yes, that’s possible. First, select a location by clicking on it on the map. Then, right-click to select a second location and add it for comparison.
Yes, you can use the icons in the left column to include or exclude specific modes of transportation and view different combinations.
At least one mode of transportation must always be selected. Walking is always selected by default and cannot be deselected, as this form of travel is generally possible everywhere and serves as the basis for the calculation.
Please note: When using public transportation, routes are usually combined with walking—for example, to access stops or when transferring.
We currently do not offer individual results reports. If you’d like to delve deeper into the analyses, you can access the underlying data directly. This data is available via the download button at the very bottom of the tool (e.g., as GeoJSON) as well as through the API.
This allows you to create your own analyses or process the data further in GIS software such as QGIS.
If you have specific questions, we’re happy to assist you. Just contact us at mobimapr@bw-im.de
Yes, you can assess accessibility based on specific activities. Clicking on the map will show you how accessible various everyday activities are in a given area. When you select an activity, the individual criteria used in the assessment will be displayed.
The results provide initial insights into possible reasons for the assessment, such as a lack of infrastructure or poor transportation connections.
You can zoom in deeply on the map. Please note, however, that the smallest unit of analysis is the hexagon. These are roughly the size of a city block and therefore do not reflect the conditions of individual streets.
You can enter cities or regions directly using the search bar (“Search for location”) in the top-left corner of the tool. The tool will then automatically zoom in on your selection.
The overall ranking is determined by comparing all regions under consideration. Each region is classified based on its mobility quality and ranked accordingly. >>More information on the calculation
When selecting a specific municipality, the results also show how it compares to structurally similar regions. This comparison is based on the RegioStar7 classification.
This allows, for example, cities to be evaluated not only overall but also specifically in comparison with other cities.
This feature is currently not available in the public view. The reason is that rendering all hexagons across larger regions is very computationally intensive—both for the server and for the browser.
We plan to introduce a subscription service in the future. This will make it possible to display larger regions at the hexagon level as well.
Until then, you can already download larger regions as GeoJSON and further analyze them at the hexagon level in GIS software such as QGIS.
To calculate public transportation routes, mobi.mapr uses the MOTIS routing engine. It calculates a connection on a weekday (e.g., Tuesday) for typical times of activity (e.g., a visit to a restaurant at 7:00 p.m.).
The analyses are currently based on scheduled timetables (target timetables). Actual factors such as delays, service cancellations, or passenger volume are not yet taken into account.
The results thus show how well public transportation functions under scheduled conditions. Expansions to include additional quality aspects are currently being planned.
The colors on the map display different information depending on the view:
In the Mobility Quality view, the results are displayed on a rainbow color scale—similar to the Nutri-Score, with ratings ranging from A (very good) to F (poor).
In the Travel Time view, the required travel time is depicted on a monochromatic scale. The colors on the map indicate travel time, ranging from dark blue (short travel times, 0–15 minutes) to light blue (long travel times, over 60 minutes). The darker the color, the shorter the travel time.
The color scales help users quickly understand and interpret the results.
The “Top Performers” ranking shows the regions with the best results—depending on the selected criteria, such as time or quality.
Which regions appear at the top of the ranking therefore depends on the selected criteria and the currently selected level. You can adjust these settings in the tool at any time.
When you click on an area or a hexagon in the tool, detailed information such as ranking, rating, population data, and the distribution of activities appears in the bottom right corner. Each column is clickable: You can first view a more detailed overview of the activities included and then see the specific locations on the map.
This allows you to see, step by step, what went into the rating.
mobi.mapr currently takes into account the following modes of transportation: “walking,” “bicycle,” “public transportation,” and “car.” The analyses are based on average usage patterns.
We are working on refining these profiles in the future—for example, to account for different mobility needs (such as mobility limitations) or additional modes of transportation like e-bikes.
mobi.mapr displays only areas relevant to the analysis of everyday mobility—that is, places where people live or where typical destinations are located.
Areas with no discernible use, such as uninhabited areas, forests, or agricultural land, are therefore grayed out.
To define these areas, mobi.mapr uses population data, which is initially available at a resolution of 1 km² and is then applied to the smaller hexagons. Additionally, data from OpenStreetMap is used to determine where buildings are located. Based on this, the population is distributed within the hexagons.
In mobi.mapr, you can analyze mobility by different modes of transportation. You can choose from “walking,” “bicycle,” “public transit,” and “car.” You can select various combinations of these modes to see how local mobility options change.
At least one mode of transportation must always be selected for an analysis to be performed.
“Walking” is always selected and cannot be deactivated, as this form of transportation is generally possible everywhere and serves as the basis for the calculation.