Understanding Mobility Patterns through GPS Data
Name
Emma Belinda Semilarski
Abstract
The Global Positioning System (GPS) has enabled to collect locational data from humans. One way to use GPS data is for exploring mobility patterns. The aim of this bachelor thesis is to unravel the mobility patterns and identify points of interest to gain more insight of spatiotemporal patterns of humans in Tartumaa. To achieve this, we use exploratory analysis techniques such as data preprocessing, visualisation, and statistical tests. Outcomes of this thesis describe the temporal and spatial patterns of people moving in Tartu and the surrounding area, and identify the most visited places from the data. The findings have the potential to contribute to the field of human mobility analysis and can be useful for city officials and policy makers in developing efficient urban planning strategies.
Graduation Thesis language
English
Graduation Thesis type
Bachelor - Computer Science
Supervisor(s)
Rahul Goel, Anto Aasa, Rajesh Sharma
Defence year
2023