Walking and Cycling

Active Mobility

Active mobility is on the rise in cities. It is a shift towards more walking and cycling, that began even before the Corona pandemic. Now, cities need to rethink their infrastructure and adapt it to the changing circumstances. 

Walking and cycling are the most eco-friendly transportation means. According to Germany’s Federal Environment Agency, commuters can reduce around 300 kilograms of CO2 emissions per year, if they cycle 5 kilometers on weekdays, instead of driving in a car.

Promoting active mobility is not only good for people and the environment. Cities and regions also gain from it: Less traffic jams, less emissions, and less traffic noise are among the positive aspects.

A digital transportation model, which is data-based and quantifiable, can help assess the potentials and benefits of active mobility measures. It will support the strategic planning of measures to promote walking and cycling, as well as the action points for municipalities and elected officials. 

Products to study impact of active mobility

Advantages of software and traffic models

PTV Route Optimiser Better carbon footprint
Contribution to air quality

Calculating and presenting the contribution of active mobility to air quality.

PTV Optima dashboards
Prediction of future developments

Reliably calculate traffic development with real-time data & forecasting methods.

PTV Vissim successful for years
Promote active mobility

Plan, evaluate and compare impacts, strategies, and measures to promote active mobility.

PTV Visum balanced mobility concepts
Support decision-making

Clear basis for decision-making on new mobility projects.

Simulating active mobility: Use Cases

Analyze existing infrastructure

What is the current demand for mobility in a city? Are public transportation lines crowded, and are there capacity bottlenecks? Are all neighborhoods provided with mobility services according to their needs? With enough relevant data, it is possible to get an overview on where existing infrastructure is sufficient, and where adjustments are needed. 

Which strategy works best?

How do different measures affect emissions and air quality? How do they influence transportation demand and mobility patterns? What to expect from people’s choice of modes of transportation, for example when they shift non-motorized and public transportation? Traffic planning and simulation software can answer these and many other questions. Individual eco-friendly measures can also be studied, to see if they stabilize the traffic flow and reduce vehicle accelerations. 

A glimpse into the future

Software for traffic planning and traffic simulation improve more than the current situation. They also help to estimate mobility and transport demand in future scenarios. For example: What happens to air quality and noise levels if a city invests more in public transportation, and walking and cycling lanes? The software’s analyses and evaluations provide the scientific basis for successful strategies for all modes of transportation. 

How we support you

PTV Group offers solutions for municipalities, companies, and urban and traffic planners, who aim to prepare for new infrastructure and transport requirements. We develop strategies and concepts and contribute to the promotion of eco-friendly modes of transportation and active mobility. 

We continuously develop our traffic simulation and traffic planning software, to give you the best model-based traffic planning of active mobility and its potential. 

Bicycle Playbook

How to integrate active mobility into your infrastructure planning? Our Bicycle Playbook showcases why cycling is relevant to your infrastructure planning. Get to know different concepts that can be implemented in your city or municipality to promote this eco-friendly mobility.  

Download now for free

Selected references

The German city of Augsburg sets an example for up-to-date planning of current and future traffic.

Cycling as part of the traffic model
City of Augsburg

With government support, the city of Ludwigsburg in Germany developed a masterplan for cycling by deploying a traffic model.

Bicycle traffic modelling
City of Ludwigsburg

Strasbourg in France simulated the pedestrian situation on site, carried out a problem analysis, and then enlarged strategic areas.

Simulating urban walking patterns
City of Strasbourg

Selected research projects around active mobility

Federal research study
National Cycling Plan for Germany (NRVP) 3.0
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International project
FLOW - Less Congestion with more Opportunities for Walking and Cycling
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Federal research study
Bicycle parking at train stations
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