Understanding movement log and GPS data

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has title::Understanding physical activity and location data
status: finished
Master: project within::Information Sciences
Student name: student name::David Rip
Dates
Start start date:=2015/01/21
End end date:=2015/07/01
Supervision
Supervisor: Michel Klein
Second supervisor: Julienka Mollee
Thesis: has thesis::Media:Master_Project.pdf
Poster: has poster::Media:Thesis Design Document.pdf

Signature supervisor



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Abstract

People have several important places in their lives which they often visit. Work, school, sports, their own home and the homes of family members are often among these places. Traveling between these locations can be done in several ways and people choose their travel methods based on different factors like distance and transportation availability. Sometimes these people have little choice, for instance if they have no car and it is too far to bike, but on other occasions they have several travel options from which they can choose.

The research in this project aims to develop the algorithms to be able to answer the following questions. What options do people choose to use? Do they choose for the easy and non-active travel option like public transport or the car, or do they choose for the more active travel option of the bike or foot? How can we determine how they travel and can their decision be influenced in the direction of the more active option?

The paper can be found here: File:Master Project.png