Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-25177
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: The MOBIS dataset : a large GPS dataset of mobility behaviour in Switzerland
Authors: Molloy, Joseph
Castro, Alberto
Götschi, Thomas
Schoeman, Beaumont
Tchervenkov, Christopher
Tomic, Uros
Hintermann, Beat
Axhausen, Kay W.
et. al: No
DOI: 10.1007/s11116-022-10299-4
10.21256/zhaw-25177
Published in: Transportation
Issue Date: 21-Jun-2022
Publisher / Ed. Institution: Springer
ISSN: 0049-4488
1572-9435
Language: English
Subjects: GPS tracking; Transport pricing; External cost; Response rate; Mobility behaviour; Randomised controlled trial
Subject (DDC): 380: Transportation
Abstract: This article presents the MOBIS dataset and underlying survey methods used in its collection. The MOBIS study was a nation-wide randomised controlled trial (RCT) of transport pricing in Switzerland, utilising a combination of postal recruitment, online surveys, and GPS tracking. 21,571 persons completed the frst online survey, and 3680 persons completed 8 weeks of GPS tracking. Many continued tracking for over a year after the study was completed. In the feld experiment, participants participated through the use of a GPS tracking app, Catch-my-Day, which logged their daily travel on diferent transport modes and imputed the trip segments and modes. The experiment lasted 8 weeks, bookended by two online surveys. After the frst 4-week control phase, participants were split into two diferent treatment groups and a continued control group. An analysis of the survey participation shows that the technology is capable of supporting such an experiment on both Android and iOS, the two main mobile platforms. Signifcant diferences in the engagement and attrition were observed between iOS and Android participants over the 8-week period. Finally, the attrition rate did not vary between treatment groups. This paper also reports on the wealth of data that are being made available for further research, which includes over 3 million trip stages and activities, labelled with transport mode and purpose respectively.
URI: https://digitalcollection.zhaw.ch/handle/11475/25177
Fulltext version: Published version
License (according to publishing contract): CC BY 4.0: Attribution 4.0 International
Departement: School of Engineering
Organisational Unit: Institute of Sustainable Development (INE)
Published as part of the ZHAW project: MOBIS: Förderung des nachhaltigen Mobilitätsverhaltens mittels Mobility Pricing und informationaler Anreize
Appears in collections:Publikationen School of Engineering

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