General information

Learning outcomes:

After completing the course, you are able to:

1. Plan a geographic information project with a team and implement it.
2. Find human mobility data that are needed for the project,
3. Use the QGIS program to analyse and manipulate spatial data,
4. Find out different data analysis techniques that support the project,
5. Understand the power of visualising your findings,
6. Use QGIS findings to make a decision where non-motorised traffic streets should be constructed.

Lecturer:

Rene Maas, TTK

rene.maas@tktk.ee

Human mobility refers to the ability to move. To make clearer decisions on transport infrastructure, we should understand the needs of human mobility. It is not always straightforward; politics and decision-makers are influenced by various factors. To make better decisions, we should rely on data rather than someone's opinion.

Where people are potentially going to move indicates their mobility needs, something you will learn in this course. This data is most useful if it is free and up to date. Therefore, we identify datasets that support our decision-making, such as those indicating where non-motorised traffic streets should be constructed. This data should be analysed; in this course, we use QGIS to do so.

The goal of this course is to understand mobility needs through data analysis and processing.