Capturing travel entities to facilitate travel behaviour analysis: A case study on generating travel diaries from trajectories fused with accelerometer readings
2016 (English)Licentiate thesis, comprehensive summary (Other academic)
The increase in population, accompanied by an increase in the availability of travel opportunities have kindled the interest in understanding how people make use of the space around them and their opportunities. Understanding the travel behaviour of individuals and groups is difficult because of two main factors: the travel behaviour's wide coverage, which encompasses different research areas, all of which model different aspects of travel behaviour, and the difficulty of obtaining travel diaries from large groups of respondents, which is imperative for analysing travel behaviour and patterns.
A travel diary allows an individual to describe how she performed her activities by specifying the destinations, purposes and travel modes occurring during a predefined period of time. Travel diaries are usually collected during a large-scale survey, but recent developments show that travel diaries have important drawbacks such as the collection bias and the decreasing response rate. This led to a surge of studies that try to complement or replace the traditional declaration-based travel diary collection with methods that extract travel diary specific information from trajectories and auxiliary datasets.
With the automation of travel diary generation in sight, this thesis presents a suitable method for collecting data for travel diary automation (Paper I), a framework to compare multiple travel diary collection systems (Paper II), a set of relevant metrics for measuring the performance of travel mode segmentation methods (Paper III), and applies these concepts during different case studies (Paper IV).
Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2016. , 88 p.
TRITA-SOM, ISSN 1653-6126 ; 2016-05
travel diary automation, trajectory segmentation, travel data collection, travel diary collection system evaluation and comparison
Transport Systems and Logistics Computer Science Human Geography
Research subject Geodesy and Geoinformatics
IdentifiersURN: urn:nbn:se:kth:diva-187491ISBN: 978-91-7595-958-0OAI: oai:DiVA.org:kth-187491DiVA: diva2:930577
2016-06-07, L1, Drottning Kristinas väg 30, Stockholm, 09:00 (English)
van der Spek, Stefan, Associate Professor
Susilo, Yusak OctaviusGidofalvi, Gyözö
QC 201605252016-05-252016-05-242016-05-25Bibliographically approved
List of papers