Munich-Germany: Smart data on mobility patterns
Background
How can individual mobility patterns in a city like Munich be identified based on a data model?
The city of Munich with 1,5 million inhabitants is facing environment and traffic challenges due to growing numbers of inhabitants and of private vehicles causing an increase in CO2 emissions. Approximately 400.000 commuters from surrounding areas come to Munich daily. To adapt to the passengers’ needs and to improve SWM/MVG’s offer it is crucial to know how passengers use the public transport and other means of transport in order to attract more people to environmentally friendly modes.
Goals:
How does success look like?
- Methods to evaluate the available data to answer the questions above are found
- Data from different sources and providers, including data of the automatic counting systems of the MVG, are combined and data quality is ensured
- Concept of how to combine data of different sources to reach the above mentioned goals
- Proof of concept with real or generated, near-reality data
How success could be measured?
- Solution is tailored to the requirements of SWM (City Utilities public company of Munich) and the City of Munich
- Number of modes of transport identified
- Number of different time-slots covered (workdays, Saturdays, Sundays,…)
- Roadmap for implementing the concept is set up
Published on 8 March, 2023.