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The Mobilit\"at.Leben Study: a Year-Long Mobility-Tracking Panel

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  • Allister Loder
  • Fabienne Cantner
  • Victoria Dahmen
  • Klaus Bogenberger

Abstract

The Mobilit\"at.Leben study investigated travel behavior effects of a natural experiment in Germany. In response to the 2022 cost-of-living crisis, two policy measures to reduce travel costs for the population in June, July, and August 2022 were introduced: a fuel excise tax cut and almost fare-free public transport with the so-called 9-Euro-Ticket. The announcement of a successor ticket to the 9-Euro-Ticket, the so-called Deutschlandticket, led to the immediate decision to continue the study. The Mobilit\"at.Leben study has two periods, the 9-Euro-Ticket period and the Deutschlandticket period, and comprises two elements: several questionnaires and a smartphone-based passive waypoint tracking. The entire duration of the study was almost thirteen months. In this paper, we report on the study design, the recruitment strategy, the study participation in the survey, and the tracking parts, and we share our experience in conducting such large-scale panel studies. Overall, 3,080 people registered for our study of which 1,420 decided to use the smartphone tracking app. While the relevant questionnaires in both phases have been completed by 818 participants, we have 170 study participants who completed the tracking in both phases and all relevant questionnaires. We find that providing a study compensation increases participation performance. It can be concluded that conducting year-long panel studies is possible, providing rich information on the heterogeneity in travel behavior between and within travelers.

Suggested Citation

  • Allister Loder & Fabienne Cantner & Victoria Dahmen & Klaus Bogenberger, 2023. "The Mobilit\"at.Leben Study: a Year-Long Mobility-Tracking Panel," Papers 2308.04973, arXiv.org.
    • Handle: RePEc:arx:papers:2308.04973
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    1. Cinzia Cirillo & Kay Axhausen, 2010. "Dynamic model of activity-type choice and scheduling," Transportation, Springer, vol. 37(1), pages 15-38, January.
    2. Andreas Krämer & Gerd Wilger & Robert Bongaerts, 2022. "Das 9-Euro-Ticket: Erfahrungen, Wirkungsmechanismen und Nachfolgeangebot [The 9-Euro-Ticket: Experiences, Impact Mechanisms and Follow-Up]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 102(11), pages 873-879, November.
    3. 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.
    4. Dennis Gaus & Neil Murray & Heike Link, 2023. "9-Euro-Ticket: Niedrigere Preise allein stärken Alltagsmobilität mit öffentlichen Verkehrsmitteln nicht," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 90(14/15), pages 163-171.
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