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https://doi.org/10.21256/zhaw-25177| Publikationstyp: | Beitrag in wissenschaftlicher Zeitschrift |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | The MOBIS dataset : a large GPS dataset of mobility behaviour in Switzerland |
| Autor/-in: | 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 |
| Erschienen in: | Transportation |
| Band(Heft): | 50 |
| Heft: | 5 |
| Seite(n): | 1983 |
| Seiten bis: | 2007 |
| Erscheinungsdatum: | 21-Jun-2022 |
| Verlag / Hrsg. Institution: | Springer |
| ISSN: | 0049-4488 1572-9435 |
| Sprache: | Englisch |
| Schlagwörter: | GPS tracking; Transport pricing; External cost; Response rate; Mobility behaviour; Randomised controlled trial |
| Fachgebiet (DDC): | 380: Verkehr |
| Zusammenfassung: | 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 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | CC BY 4.0: Namensnennung 4.0 International |
| Departement: | School of Engineering |
| Organisationseinheit: | Institut für Nachhaltige Entwicklung (INE) |
| Publiziert im Rahmen des ZHAW-Projekts: | MOBIS: Förderung des nachhaltigen Mobilitätsverhaltens mittels Mobility Pricing und informationaler Anreize |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| 2022_Molloy-etal_MOBIS-dataset-mobility-behaviour-CH.pdf | 1.63 MB | Adobe PDF |  Öffnen/Anzeigen |
Zur Langanzeige
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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