Explore
How well can we reach our daily wants and needs?
Having a supermarket in your neighbourhood can shorten travel distances, reduce traffic, and make it possible to run errands on foot or by bike. This creates more modal options and ultimately improves the conditions for everyday mobility.
mobi.mapr brings the connections between activities and modes to light—for different groups of people and at various geographical scales, from the neighborhood level to the state.
These maps invite you to explore for yourself how transportation works in your area.
Things to Explore
How the analyses can be used
Gauging the quality of daily wants and needs
Accessibility to key everyday destinations such as supermarkets, schools, or medical facilities can be systematically analyzed and compared across neighborhoods. This makes it clear where daily life can be easily managed—and where travel times are particularly time-consuming.
Giving a realistic evaluation of everyday mobility options
Accessibility can be compared across different modes of transportation. This makes it possible to assess which routes are actually feasible—and where certain mobility options are limited.
Establishing a common ground for discussions on mobility
The visualization makes mobility easy to understand and allows for a direct entry into the discussion—even without prior knowledge of urban planning.
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.
FAQs
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.
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.
As you explore, you’ll see how mobility works in your area.
Comparing your findings with other regions puts them into a broader context and highlights differences and patterns.