Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-25177
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dc.contributor.authorMolloy, Joseph-
dc.contributor.authorCastro, Alberto-
dc.contributor.authorGötschi, Thomas-
dc.contributor.authorSchoeman, Beaumont-
dc.contributor.authorTchervenkov, Christopher-
dc.contributor.authorTomic, Uros-
dc.contributor.authorHintermann, Beat-
dc.contributor.authorAxhausen, Kay W.-
dc.date.accessioned2022-06-24T14:02:26Z-
dc.date.available2022-06-24T14:02:26Z-
dc.date.issued2022-06-21-
dc.identifier.issn0049-4488de_CH
dc.identifier.issn1572-9435de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/25177-
dc.description.abstractThis 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.de_CH
dc.language.isoende_CH
dc.publisherSpringerde_CH
dc.relation.ispartofTransportationde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectGPS trackingde_CH
dc.subjectTransport pricingde_CH
dc.subjectExternal costde_CH
dc.subjectResponse ratede_CH
dc.subjectMobility behaviourde_CH
dc.subjectRandomised controlled trialde_CH
dc.subject.ddc380: Verkehrde_CH
dc.titleThe MOBIS dataset : a large GPS dataset of mobility behaviour in Switzerlandde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Nachhaltige Entwicklung (INE)de_CH
dc.identifier.doi10.1007/s11116-022-10299-4de_CH
dc.identifier.doi10.21256/zhaw-25177-
zhaw.funding.euNode_CH
zhaw.issue5de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end2007de_CH
zhaw.pages.start1983de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume50de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.funding.zhawMOBIS: Förderung des nachhaltigen Mobilitätsverhaltens mittels Mobility Pricing und informationaler Anreizede_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Engineering

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Molloy, J., Castro, A., Götschi, T., Schoeman, B., Tchervenkov, C., Tomic, U., Hintermann, B., & Axhausen, K. W. (2022). The MOBIS dataset : a large GPS dataset of mobility behaviour in Switzerland. Transportation, 50(5), 1983–2007. https://doi.org/10.1007/s11116-022-10299-4
Molloy, J. et al. (2022) ‘The MOBIS dataset : a large GPS dataset of mobility behaviour in Switzerland’, Transportation, 50(5), pp. 1983–2007. Available at: https://doi.org/10.1007/s11116-022-10299-4.
J. Molloy et al., “The MOBIS dataset : a large GPS dataset of mobility behaviour in Switzerland,” Transportation, vol. 50, no. 5, pp. 1983–2007, Jun. 2022, doi: 10.1007/s11116-022-10299-4.
MOLLOY, Joseph, Alberto CASTRO, Thomas GÖTSCHI, Beaumont SCHOEMAN, Christopher TCHERVENKOV, Uros TOMIC, Beat HINTERMANN und Kay W. AXHAUSEN, 2022. The MOBIS dataset : a large GPS dataset of mobility behaviour in Switzerland. Transportation. 21 Juni 2022. Bd. 50, Nr. 5, S. 1983–2007. DOI 10.1007/s11116-022-10299-4
Molloy, Joseph, Alberto Castro, Thomas Götschi, Beaumont Schoeman, Christopher Tchervenkov, Uros Tomic, Beat Hintermann, and Kay W. Axhausen. 2022. “The MOBIS Dataset : A Large GPS Dataset of Mobility Behaviour in Switzerland.” Transportation 50 (5): 1983–2007. https://doi.org/10.1007/s11116-022-10299-4.
Molloy, Joseph, et al. “The MOBIS Dataset : A Large GPS Dataset of Mobility Behaviour in Switzerland.” Transportation, vol. 50, no. 5, June 2022, pp. 1983–2007, https://doi.org/10.1007/s11116-022-10299-4.


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