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More than just a traditional reachability analysis

A new benchmark for good mobility.

mobi.mapr measures the quality of mobility where it actually happens: in people’s everyday lives.

Mobility is usually assessed based on infrastructure and the density of services. The underlying analyses are often detailed but difficult to access—especially without prior knowledge. And they leave one key question unanswered: How well do mobility services support people’s lives?

This is exactly where mobi.mapr comes in, shifting the basis for evaluating good mobility: away from infrastructure and service offerings, and toward the reality of people’s lives. The starting point is the question: What do people do in their daily lives—and how well do they get there?

mobi.mapr visualizes these connections in an intuitively readable map. Complex data is condensed into a color scale, showing at a glance where mobility works reliably in everyday life. This makes the results transparent, compatible, and directly usable—for government, policymakers, planners, and the public.

What sets mobi.mapr apart

Mobility as it is actually experienced.

The focus is on accessibility under realistic conditions—from leaving home to arriving at the destination. Actual time spent on activities such as walking, transferring between modes of transportation, or looking for a parking spot are directly factored into the assessment.

A comprehensive analysis of routes—going beyond mere route data.

The analysis combines objective route data with additional quality factors. These include, for example, the ADFC Bicycle Climate Test and on-site assessments of road conditions and lighting. This provides a nuanced picture of mobility quality—not just the availability of options.

Complex concepts explained in simple terms—even without specialized knowledge.

Mobility analyses are often complex. mobi.mapr simplifies this complexity and makes complex issues immediately understandable: Maps with an intuitive color scale—displayed either as travel time or as a school grade from A to F—highlight differences at a glance.

Mobility viewed beyond administrative boundaries.

Mobility doesn’t stop at municipal boundaries. mobi.mapr analyzes mobility quality at a granular level, independent of administrative boundaries. This reveals how services and infrastructure actually influence everyday mobility.

Where mobi.mapr is used

With just the click of a button, mobi.mapr provides comprehensive analyses and insights for designing sustainable, livable cities and regions:

Provide solid support for planning processes

– for example, in the development of new neighborhoods or transportation corridors

Strengthen engagement through transparent data

– e.g., in workshops, participatory processes, or political discussions

A foundation for research and contextualization in media and education

Highlighting mobility trends and specific areas for action

– in cities and rural areas

Enable informed decisions

– for example, in needs-based urban and transportation planning

Strategically evaluate and develop locations

– e.g., for residential areas, public facilities, or business parks

Where mobi.mapr is used

With just the click of a button, mobi.mapr provides comprehensive analyses and insights for designing sustainable, livable cities and regions:

Provide solid support for planning processes

– for example, in the development of new neighborhoods or transportation corridors

Strengthen engagement through transparent data

– e.g., in workshops, participatory processes, or political discussions

A foundation for research and contextualization in media and education

Highlighting mobility trends and specific areas for action

– in cities and rural areas

Enable informed decisions

– for example, in needs-based urban and transportation planning

Strategically evaluate and develop locations

– e.g., for residential areas, public facilities, or business parks

How mobi.mapr calculates mobility

To make mobility comparable, mobi.mapr analyzes accessibility at a granular level using a Germany-wide hexagonal grid. For each area, it calculates the average time it takes people to reach key everyday destinations—including real-world

time spent on activities such as walking, transferring between modes of transportation, or looking for a parking spot. These travel times are then compared with regions that have similar structures and converted into an index.

What data does mobi.mapr use?

The mobi.mapr model is based on a constantly expanding database. This includes, among other things:

  • Geodata on activities and locations from OpenStreetMap
  • Routing data for various modes of transportation
  • Mobility patterns from the study “Mobility in Germany”
  • Official population data from DESTATIS
  • Quality indicators such as the ADFC Bicycle Climate Test

An overview of all data sources used is available directly in the tool by clicking the info icon.

Any questions?

Would you like more detailed information about mobi.mapr, or do you have a press inquiry?