IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v126y2022icp55-64.html
   My bibliography  Save this article

Travel mode preferences among German commuters over the course of COVID-19 pandemic

Author

Listed:
  • Ferreira, Sara
  • Amorim, Marco
  • Lobo, António
  • Kern, Mira
  • Fanderl, Nora
  • Couto, António

Abstract

The COVID-19 pandemic has changed the way how the people live, work and move, and naturally the transport sector became one of the most affected by this global crisis. Beyond the sudden fall of mobility at the beginning of the pandemic, it is important to understand how people are regaining trust in travelling, even if it is still unpredictable if and when the transport sector will recover to the pre-pandemic levels. This study focuses on the analysis of commuting trips and the changes of travel mode preferences over the first eight months of the pandemic in Germany. A survey with an orthogonal design based on sets of cards containing different transport mode alternatives and attributes was conducted in three waves (April, June, and October 2020). The individual characteristics and the preferences of around 4800 commuters were collected through the survey and modelled using a conditional logit approach. The results show that commuters have regained some trust on public transport since the April–May 2020 lockdown, but this has occurred at a slow pace. The reduction of public transport ticket fares can be the most effective strategy to recover some of the users lost to other modes.

Suggested Citation

  • Ferreira, Sara & Amorim, Marco & Lobo, António & Kern, Mira & Fanderl, Nora & Couto, António, 2022. "Travel mode preferences among German commuters over the course of COVID-19 pandemic," Transport Policy, Elsevier, vol. 126(C), pages 55-64.
  • Handle: RePEc:eee:trapol:v:126:y:2022:i:c:p:55-64
    DOI: 10.1016/j.tranpol.2022.07.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X22001925
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tranpol.2022.07.011?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. repec:rri:wpaper:200704 is not listed on IDEAS
    2. Konstantinos Gkiotsalitis & Oded Cats, 2021. "Public transport planning adaption under the COVID-19 pandemic crisis: literature review of research needs and directions," Transport Reviews, Taylor & Francis Journals, vol. 41(3), pages 374-392, May.
    3. Eisenmann, Christine & Nobis, Claudia & Kolarova, Viktoriya & Lenz, Barbara & Winkler, Christian, 2021. "Transport mode use during the COVID-19 lockdown period in Germany: The car became more important, public transport lost ground," Transport Policy, Elsevier, vol. 103(C), pages 60-67.
    4. Peter Haan, 2006. "Much ado about nothing: conditional logit vs. random coefficient models for estimating labour supply elasticities," Applied Economics Letters, Taylor & Francis Journals, vol. 13(4), pages 251-256.
    5. Zhang, Junyi & Hayashi, Yoshitsugu & Frank, Lawrence D., 2021. "COVID-19 and transport: Findings from a world-wide expert survey," Transport Policy, Elsevier, vol. 103(C), pages 68-85.
    6. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    7. Christiadi & Brian Cushing, 2007. "Conditional Logit, IIA, and Alternatives for Estimating Models of Interstate Migration," Working Papers Working Paper 2007-04, Regional Research Institute, West Virginia University.
    8. Brem, Alexander & Viardot, Eric & Nylund, Petra A., 2021. "Implications of the coronavirus (COVID-19) outbreak for innovation: Which technologies will improve our lives?," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    9. Dahlberg, Matz & Eklöf, Matias, 2003. "Relaxing the IIA Assumption in Locational Choice Models: A Comparison Between Conditional Logit, Mixed Logit, and Multinomial Probit Models," Working Paper Series 2003:9, Uppsala University, Department of Economics.
    10. Rhys Manley, 2020. "Light at the End of the Tunnel: The Capability Approach in the Aftermath of Covid 19," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 21(3), pages 287-292, July.
    11. Hensher, David A. & Wei, Edward & Beck, MatthewJ. & Balbontin, Camila, 2021. "The impact of COVID-19 on cost outlays for car and public transport commuting - The case of the Greater Sydney Metropolitan Area after three months of restrictions," Transport Policy, Elsevier, vol. 101(C), pages 71-80.
    12. Marsden, Greg & Docherty, Iain, 2021. "Mega-disruptions and policy change: Lessons from the mobility sector in response to the Covid-19 pandemic in the UK," Transport Policy, Elsevier, vol. 110(C), pages 86-97.
    13. Dong, Hongming & Ma, Shoufeng & Jia, Ning & Tian, Junfang, 2021. "Understanding public transport satisfaction in post COVID-19 pandemic," Transport Policy, Elsevier, vol. 101(C), pages 81-88.
    14. Rothengatter, Werner & Zhang, Junyi & Hayashi, Yoshitsugu & Nosach, Anastasiia & Wang, Kun & Oum, Tae Hoon, 2021. "Pandemic waves and the time after Covid-19 – Consequences for the transport sector," Transport Policy, Elsevier, vol. 110(C), pages 225-237.
    15. Kuo-Ying Wang, 2014. "How Change of Public Transportation Usage Reveals Fear of the SARS Virus in a City," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-10, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zsigó, Zsanett, 2023. "Methodologies For Measuring Mobility In Covid-19 Research," Economic and Regional Studies (Studia Ekonomiczne i Regionalne), John Paul II University of Applied Sciences in Biala Podlaska, vol. 16(2), June.
    2. Hudyeron Rocha & António Lobo & José Pedro Tavares & Sara Ferreira, 2023. "Exploring Modal Choices for Sustainable Urban Mobility: Insights from the Porto Metropolitan Area in Portugal," Sustainability, MDPI, vol. 15(20), pages 1-20, October.
    3. Zsigó Zsanett, 2023. "Methodologies for Measuring Mobility in Covid-19 Research," Economic and Regional Studies / Studia Ekonomiczne i Regionalne, Sciendo, vol. 16(2), pages 186-202, June.

    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. Aaron Gutiérrez & Daniel Miravet & Òscar Saladié & Salvador Anton Clavé, 2019. "Transport Mode Choice by Tourists Transferring from a Peripheral High-Speed Rail Station to Their Destinations: Empirical Evidence from Costa Daurada," Sustainability, MDPI, vol. 11(11), pages 1-15, June.
    2. Soria, Jason & Edward, Deirdre & Stathopoulos, Amanda, 2023. "Requiem for transit ridership? An examination of who abandoned, who will return, and who will ride more with mobility as a service," Transport Policy, Elsevier, vol. 134(C), pages 139-154.
    3. Martine Audibert & Yong He & Jacky Mathonnat, 2013. "Multinomial and Mixed Logit Modeling in the Presence of Heterogeneity: A Two-Period Comparison of Healthcare Provider Choice in Rural China," Working Papers halshs-00846085, HAL.
    4. Martine Audibert & Yong He & Jacky Mathonnat, 2013. "Multinomial and Mixed Logit Modeling in the Presence of Heterogeneity: A Two-Period Comparison of Healthcare Provider Choice in Rural China," CERDI Working papers halshs-00846085, HAL.
    5. Marcelo Werneck Barbosa & Paulo Renato de Sousa & Leise Kelli de Oliveira, 2022. "The Effects of Barriers and Freight Vehicle Restrictions on Logistics Costs: A Comparison before and during the COVID-19 Pandemic in Brazil," Sustainability, MDPI, vol. 14(14), pages 1-13, July.
    6. Christidis, Panayotis & Navajas Cawood, Elena & Fiorello, Davide, 2022. "Challenges for urban transport policy after the Covid-19 pandemic: Main findings from a survey in 20 European cities," Transport Policy, Elsevier, vol. 129(C), pages 105-116.
    7. Pablo Neudörfer & Jorge Dresdner, 2014. "Does religious affiliation affect migration?," Papers in Regional Science, Wiley Blackwell, vol. 93(3), pages 577-594, August.
    8. Emma Strömblad & Lena Winslott Hiselius & Lena Smidfelt Rosqvist & Helena Svensson, 2021. "Adaptive Travel Behaviors to Cope with COVID-19: A Swedish Qualitative Study Focusing on Everyday Leisure Trips," Sustainability, MDPI, vol. 13(23), pages 1-17, November.
    9. Anwar, Muhammad Azfar & Dhir, Amandeep & Jabeen, Fauzia & Zhang, Qingyu & Siddiquei, Ahmad Nabeel, 2023. "Unconventional green transport innovations in the post-COVID-19 era. A trade-off between green actions and personal health protection," Journal of Business Research, Elsevier, vol. 155(PA).
    10. Sunio, Varsolo & Mateo-Babiano, Iderlina, 2022. "Pandemics as ‘windows of opportunity’: Transitioning towards more sustainable and resilient transport systems," Transport Policy, Elsevier, vol. 116(C), pages 175-187.
    11. Xiaoyu Zhang & Chunfu Shao & Bobin Wang & Shichen Huang, 2022. "The Impact of COVID-19 on Travel Mode Choice Behavior in Terms of Shared Mobility: A Case Study in Beijing, China," IJERPH, MDPI, vol. 19(12), pages 1-19, June.
    12. Klaus Nowotny, 2015. "Institutions and the Location Decisions of Highly Skilled Migrants to Europe. WWWforEurope Working Paper No. 78," WIFO Studies, WIFO, number 57885, February.
    13. Chen, Chao & Feng, Tao & Gu, Xiaoning & Yao, Baozhen, 2022. "Investigating the effectiveness of COVID-19 pandemic countermeasures on the use of public transport: A case study of The Netherlands," Transport Policy, Elsevier, vol. 117(C), pages 98-107.
    14. Abdurrahman B. Aydemir & Erkan Duman, 2021. "Migrant Networks and Destination Choice: Evidence from Moves across Turkish Provinces," Koç University-TUSIAD Economic Research Forum Working Papers 2109, Koc University-TUSIAD Economic Research Forum.
    15. Reinhard A. Weisser, 2020. "How Personality Shapes Study Location Choices," Research in Higher Education, Springer;Association for Institutional Research, vol. 61(1), pages 88-116, February.
    16. Johannes Geyer & Thorben Korfhage, 2015. "Long‐term Care Insurance and Carers' Labor Supply – A Structural Model," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1178-1191, September.
    17. Daniel Albalate & Xavier Fageda, 2022. ""Have Low Emission Zones slowed urban traffic recovery after Covid-19?"," IREA Working Papers 202222, University of Barcelona, Research Institute of Applied Economics, revised Dec 2022.
    18. Peter Haan, 2005. "State Dependence and Female Labor Supply in Germany: The Extensive and the Intensive Margin," Discussion Papers of DIW Berlin 538, DIW Berlin, German Institute for Economic Research.
    19. Yusuf Sofiyandi & Yusuf Reza Kurniawan & Khoirunurrofik & Prayoga Wiradisuria & Dikki Nur Ahmad Saleh, 2021. "Quantifying the Impacts of COVID-19 Mobility Restrictions on Ridership and Farebox Revenues: The Case of Mass Rapid Transit in Jakarta, Indonesia," LPEM FEBUI Working Papers 202162, LPEM, Faculty of Economics and Business, University of Indonesia, revised 2021.
    20. Löffler, Max & Peichl, Andreas & Siegloch, Sebastian, 2013. "Validating Structural Labor Supply Models," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79819, Verein für Socialpolitik / German Economic Association.

    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:eee:trapol:v:126:y:2022:i:c:p:55-64. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    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.