Mobility Research and Transport Modelling
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The course consists of a lecture and an exercise. It introduces fundamentals of spatial and behavioural data analysis for mobility research. Topics include: Fundamental concepts and terminology of mobility, travel behaviour research and spatial analysis; density measures and their impact on mobility; spatial autocorrelation; accessibility; modelling of travel demand and choices in the context of mobility behaviour.
Students understand relationships between spatial configurations (e.g. urban densities) and transport, are familiar with the basic concepts of travel demand modelling and understand the concept of choice modelling in the context of transport. Students are able to apply spatial analysis methods in QGIS, e.g. weighted densities, analysis of spatial autocorrelation, computing of accessibilities.
In the exercise, the contents of spatial analysis are deepened. Using the geographic information system QGIS, individual aspects of the lecture are deepened with the help of Open Data in the form of small tasks. It is not a prerequisite for the course to already know QGIS. Nevertheless, the focus is mainly on performing the analyses and not on learning the basics of QGIS. It is therefore suggested that students, in addition to the exercise, familiarize themselves with QGIS independently with the help of widespread tutorials.
The learned methods for spatial analysis are embedded in a whole project process. Students work on a project in groups for the entire semester.
- Spatial analysis and transport
- Concepts of travel demand modelling
- Mobility data analysis + Mobility & Travel behaviour
Further information about the lecture, the exercise and the exam can be found in RWTHonline.