Course Overview
This course aims at introducing policy makers and professionals working in the transport sector to the new innovative methods and mobility measures that use data in the field of transportation. This includes both the historical and real-time mobility data. The course provides participants with case studies on each method of data usability.
Target Groups
- Mobility specielist working at city authorities planning to use innovative methods of data usage for mobility planning.
- Practitioners aiming to get an overview on data usage in the transport field.
Course Timeline
- 4 weeks course (01/11 – 29/11)
- Moderation only in this time span. Questions can be raised using the respective forum for each topic.
- Questions are discussed in written form.
- The course is self-paced i.e. you can log in according to your schedule.
- Moderator will interact with participants through the forum for each topic.
Course Moderator
Moderator: Dr Frederic Rudolph, Project Coordinator, Wuppertal Institute.
- Holds a diploma in urban planning (University of Dortmund, Germany) and a Ph.D. in Civil Engineering (University of Wuppertal).
- Research focus: transition pathways towards sustainable mobility.
1
Introduction to Data Management for Mobility
2
Sensing Technologies
3
Big Data for Mobility
4
Mobility Data and Privacy
5
Quiz 1: Introduce yourself
SUITS Project
1
Webinar: Data Management and Exploitation for Sustainable Urban Mobility
2
SUITS Tools
3
Historical Mobility Data – Integrating mobility data sources to define and quantify a vehicle-level congestion indicator: an application for the city of Turin
4
Historical Mobility Data – Kalamaria pilot project
5
Real-time Mobility Data
6
Quiz 2: Transport Data in your city
Tools for Analysing and Visualising Mobility Data
1
Tools for Analysing and Visualising Mobility Data
2
Mobility Data Sources
3
Quiz 3: Which approach to use in your city?
Data Management for Sustainable Urban Mobility