IDEAS home Printed from https://ideas.repec.org/a/kap/transp/v50y2023i5d10.1007_s11116-022-10299-4.html
   My bibliography  Save this article

The MOBIS dataset: a large GPS dataset of mobility behaviour in Switzerland

Author

Listed:
  • Joseph Molloy

    (IVT, ETH Zurich)

  • Alberto Castro

    (WWZ, University of Basel)

  • Thomas Götschi

    (WWZ, University of Basel)

  • Beaumont Schoeman

    (WWZ, University of Basel)

  • Christopher Tchervenkov

    (IVT, ETH Zurich)

  • Uros Tomic

    (INE, Zurich University of Applied Sciences)

  • Beat Hintermann

    (WWZ, University of Basel)

  • Kay W. Axhausen

    (IVT, ETH Zurich)

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 first 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 field experiment, participants participated through the use of a GPS tracking app, Catch-my-Day, which logged their daily travel on different transport modes and imputed the trip segments and modes. The experiment lasted 8 weeks, bookended by two online surveys. After the first 4-week control phase, participants were split into two different 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. Significant differences 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.

Suggested Citation

  • Joseph Molloy & Alberto Castro & Thomas Götschi & Beaumont Schoeman & Christopher Tchervenkov & Uros Tomic & Beat Hintermann & Kay W. Axhausen, 2023. "The MOBIS dataset: a large GPS dataset of mobility behaviour in Switzerland," Transportation, Springer, vol. 50(5), pages 1983-2007, October.
    • Handle: RePEc:kap:transp:v:50:y:2023:i:5:d:10.1007_s11116-022-10299-4
    DOI: 10.1007/s11116-022-10299-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11116-022-10299-4
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11116-022-10299-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jonathan Leape, 2006. "The London Congestion Charge," Journal of Economic Perspectives, American Economic Association, vol. 20(4), pages 157-176, Fall.
    2. Li Shen & Peter R. Stopher, 2014. "Review of GPS Travel Survey and GPS Data-Processing Methods," Transport Reviews, Taylor & Francis Journals, vol. 34(3), pages 316-334, May.
    3. Verhoef, Erik & Nijkamp, Peter & Rietveld, Piet, 1996. "Second-Best Congestion Pricing: The Case of an Untolled Alternative," Journal of Urban Economics, Elsevier, vol. 40(3), pages 279-302, November.
    4. Kevin Washbrook & Wolfgang Haider & Mark Jaccard, 2006. "Estimating commuter mode choice: A discrete choice analysis of the impact of road pricing and parking charges," Transportation, Springer, vol. 33(6), pages 621-639, November.
    5. Li, Zheng & Hensher, David A., 2012. "Congestion charging and car use: A review of stated preference and opinion studies and market monitoring evidence," Transport Policy, Elsevier, vol. 20(C), pages 47-61.
    6. Peter Stopher & Camden FitzGerald & Min Xu, 2007. "Assessing the accuracy of the Sydney Household Travel Survey with GPS," Transportation, Springer, vol. 34(6), pages 723-741, November.
    7. Agarwal, Sumit & Koo, Kang Mo, 2016. "Impact of electronic road pricing (ERP) changes on transport modal choice," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 1-11.
    8. Small, Kenneth A, 2004. "6. Road Pricing And Public Transport," Research in Transportation Economics, Elsevier, vol. 9(1), pages 133-158, January.
    9. Ihab Kaddoura, 2015. "Marginal Congestion Cost Pricing in a Multi-agent Simulation Investigation of the Greater Berlin Area," Journal of Transport Economics and Policy, University of Bath, vol. 49(4), pages 560-578, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. M. Rouhani, Omid, 2014. "Road pricing: An overview," MPRA Paper 59662, University Library of Munich, Germany.
    2. Kraus, Marvin, 2012. "Road pricing with optimal mass transit," Journal of Urban Economics, Elsevier, vol. 72(2), pages 81-86.
    3. Andrea Baranzini & Stefano Carattini & Linda Tesauro, 2021. "Designing Effective and Acceptable Road Pricing Schemes: Evidence from the Geneva Congestion Charge," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(3), pages 417-482, July.
    4. Ian W.H. Parry, 2009. "Pricing Urban Congestion," Annual Review of Resource Economics, Annual Reviews, vol. 1(1), pages 461-484, September.
    5. Button, Kenneth, 2020. "The Transition From Pigou’S Ideas On Road Pricing To Their Application," Journal of the History of Economic Thought, Cambridge University Press, vol. 42(3), pages 417-438, September.
    6. Daniel Albalate & Germa Bel, 2008. "Shaping urban traffic patterns through congestion charging: What factors drive success or failure?," IREA Working Papers 200801, University of Barcelona, Research Institute of Applied Economics, revised Jan 2008.
    7. Lindsey, Robin, 2012. "Road pricing and investment," Economics of Transportation, Elsevier, vol. 1(1), pages 49-63.
    8. Ding, Hongliang & Sze, N.N. & Li, Haojie & Guo, Yanyong, 2021. "Affected area and residual period of London Congestion Charging scheme on road safety," Transport Policy, Elsevier, vol. 100(C), pages 120-128.
    9. Sugiarto, Sugiarto & Miwa, Tomio & Morikawa, Takayuki, 2017. "Inclusion of latent constructs in utilitarian resource allocation model for analyzing revenue spending options in congestion charging policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 36-53.
    10. P. Christopher Zegras & Menghan Li & Talip Kilic & Nancy Lozano-Gracia & Ajinkya Ghorpade & Marco Tiberti & Ana I. Aguilera & Fang Zhao, 2018. "Assessing the representativeness of a smartphone-based household travel survey in Dar es Salaam, Tanzania," Transportation, Springer, vol. 45(2), pages 335-363, March.
    11. André de Palma & Robin Lindsey, 2009. "Traffic Congestion Pricing Methods and Technologies," Working Papers hal-00414526, HAL.
    12. Holguín-Veras, José & Aros-Vera, Felipe & Browne, Michael, 2015. "Agent interactions and the response of supply chains to pricing and incentives," Economics of Transportation, Elsevier, vol. 4(3), pages 147-155.
    13. Kan, Zihan & Kwan, Mei-Po & Liu, Dong & Tang, Luliang & Chen, Yang & Fang, Mengyuan, 2022. "Assessing individual activity-related exposures to traffic congestion using GPS trajectory data," Journal of Transport Geography, Elsevier, vol. 98(C).
    14. Lei Zhang & David Levinson, 2006. "Economics of Road Network Ownership," Working Papers 200908, University of Minnesota: Nexus Research Group.
    15. Scott Duke Kominers & Alexander Teytelboym & Vincent P Crawford, 2017. "An invitation to market design," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 33(4), pages 541-571.
    16. Miquel-Àngel Garcia-López & Ilias Pasidis & Elisabet Viladecans-Marsal, 2022. "Congestion in highways when tolls and railroads matter: evidence from European cities [The congestion relief benefit of public transit: evidence from Rome]," Journal of Economic Geography, Oxford University Press, vol. 22(5), pages 931-960.
    17. De Borger, B. & Dunkerley, F. & Proost, S., 2007. "Strategic investment and pricing decisions in a congested transport corridor," Journal of Urban Economics, Elsevier, vol. 62(2), pages 294-316, September.
    18. Zhang, Rong & Verhoef, Erik T., 2006. "A monopolistic market for advanced traveller information systems and road use efficiency," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(5), pages 424-443, June.
    19. Tarduno, Matthew, 2021. "The congestion costs of Uber and Lyft," Journal of Urban Economics, Elsevier, vol. 122(C).
    20. Russo, Antonio & Adler, Martin W. & Liberini, Federica & van Ommeren, Jos N., 2021. "Welfare losses of road congestion: Evidence from Rome," Regional Science and Urban Economics, Elsevier, vol. 89(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:transp:v:50:y:2023:i:5:d:10.1007_s11116-022-10299-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.