IDEAS home Printed from https://ideas.repec.org/p/zbw/iubhtl/1januar2023.html
   My bibliography  Save this paper

The introduction of self-driving / full-automation trucks: Will we live among these modern dinosaurs?

Author

Listed:
  • Schulke, Arne
  • Mai Vi Nguyen

Abstract

Road transportation accounts for most of the freight transportation in the EU, with trucks responsible for 71.3 percent of all inland EU freight movements. The trucking industry in the EU is facing several challenges and Selfdriving Trucks (SDTs) seem to be a promising solution to its problems. This study explores the current state of selfdriving technologies and the benefits and drawbacks associated with SDTs. Furthermore, the study tries to examine how the European public perceives the use of SDTs. This study utilized a mixed method, integrating qualitative and quantitative: Qualitative data were collected by means of a thorough literature review. The public's perception was assessed through a survey, from which quantitative data were extracted. There were 256 participants who answered the survey. Key findings are that the EU public is aware of Self-driving Vehicles (SDVs) but less aware of SDTs. Most people perceive self-driving technology positively and believe that the implementation of SDTs will have profound effects on both the logistics as well as the trucking industry in particular. Even though most participants perceived SDVs to drive better than humans, thus increasing road safety, 67.2 percent did not want to share the road with them. This raises severe challenges for policy makers towards public acceptance of their wide-scale introduction.

Suggested Citation

  • Schulke, Arne & Mai Vi Nguyen, 2023. "The introduction of self-driving / full-automation trucks: Will we live among these modern dinosaurs?," IU Discussion Papers - Transport & Logistics 1 (Januar 2023), IU International University of Applied Sciences.
  • Handle: RePEc:zbw:iubhtl:1januar2023
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/268391/1/1831592185.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Evelyne Tina Kassai & Muhammad Azmat & Sebastian Kummer, 2020. "Scope of Using Autonomous Trucks and Lorries for Parcel Deliveries in Urban Settings," Logistics, MDPI, vol. 4(3), pages 1-25, August.
    2. Eunbin Kim & Youngrim Kim & Jieun Park, 2022. "The Necessity of Introducing Autonomous Trucks in Logistics 4.0," Sustainability, MDPI, vol. 14(7), pages 1-10, March.
    3. Staubli, Stefan & Muehlenbachs, Lucija & Chu, Ziyan, 2017. "The Accident Externality from Trucking," CEPR Discussion Papers 12314, C.E.P.R. Discussion Papers.
    4. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    5. Simone Pettigrew & Lin Fritschi & Richard Norman, 2018. "The Potential Implications of Autonomous Vehicles in and around the Workplace," IJERPH, MDPI, vol. 15(9), pages 1-10, August.
    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. Ashraf Elsafty & Ahmed Elzeftawy, 2023. "Towards Effective Mitigation of the Digital Transformation and COVID-19 Risk on Unemployment in Mobile Operators in Egypt," International Journal of Business and Management, Canadian Center of Science and Education, vol. 17(2), pages 123-123, February.
    2. Cette, Gilbert & Devillard, Aurélien & Spiezia, Vincenzo, 2021. "The contribution of robots to productivity growth in 30 OECD countries over 1975–2019," Economics Letters, Elsevier, vol. 200(C).
    3. Ayhan, Fatih & Elal, Onuray, 2023. "The IMPACTS of technological change on employment: Evidence from OECD countries with panel data analysis," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    4. Ville-Veikko Pulkka, 2017. "A free lunch with robots – can a basic income stabilise the digital economy?," Transfer: European Review of Labour and Research, , vol. 23(3), pages 295-311, August.
    5. Adrian Otoiu & Ramona Bere & Catalin Silvestru, 2017. "An Assessment of the First Round Impact of Innovation Industries on Europe’s Regional Economies," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 19(44), pages 289-289, February.
    6. Lütkenhorst, Wilfried, 2018. "Creating wealth without labour? Emerging contours of a new techno-economic landscape," IDOS Discussion Papers 11/2018, German Institute of Development and Sustainability (IDOS).
    7. Barth, Erling & Davis, James C. & Freeman, Richard B. & McElheran, Kristina, 2023. "Twisting the demand curve: Digitalization and the older workforce," Journal of Econometrics, Elsevier, vol. 233(2), pages 443-467.
    8. Böhm, Robert & Letmathe, Peter & Schinner, Matthias, 2023. "The monetary value of competencies: A novel method and case study in smart manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    9. Caitlin Allen Whitehead & Haroon Bhorat & Robert Hill & Tim Köhler & François Steenkamp, 2021. "The Potential Employment Implications of the Fourth Industrial Revolution Technologies: The Case of the Manufacturing, Engineering and Related Services Sector," Working Papers 202106, University of Cape Town, Development Policy Research Unit.
    10. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    11. Capucine Riom & Anna Valero, 2020. "The business response to Covid-19: the CEP-CBI survey on technology adoption," CEP Covid-19 Analyses cepcovid-19-009, Centre for Economic Performance, LSE.
    12. Stijn Broecke & Glenda Quintini & Marieke Vandeweyer, 2018. "Wage Inequality and Cognitive Skills: Reopening the Debate," NBER Chapters, in: Education, Skills, and Technical Change: Implications for Future US GDP Growth, pages 251-286, National Bureau of Economic Research, Inc.
    13. Cristiano CODAGNONE & Giovanni LIVA & Egidijus BARCEVICIUS & Gianluca MISURACA & Luka KLIMAVICIUTE & Michele BENEDETTI & Irene VANINI & Giancarlo VECCHI & Emily RYEN GLOINSON & Katherine STEWART & Sti, 2020. "Assessing the impacts of digital government transformation in the EU: Conceptual framework and empirical case studies," JRC Research Reports JRC120865, Joint Research Centre.
    14. Filippos Petroulakis, 2023. "Task Content and Job Losses in the Great Lockdown," ILR Review, Cornell University, ILR School, vol. 76(3), pages 586-613, May.
    15. Anna-Maria Kanzola, 2024. "The Knowledge Content of the Greek Production Structure in the Aftermath of the Greek Crisis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 936-957, March.
    16. Alain Cohn & Tobias Gesche & Michel André Maréchal, 2022. "Honesty in the Digital Age," Management Science, INFORMS, vol. 68(2), pages 827-845, February.
    17. Philippe Aghion & Céline Antonin & Simon Bunel & Xavier Jaravel, 2020. "What Are the Labor and Product Market Effects of Automation? New Evidence from France," SciencePo Working papers Main hal-03403062, HAL.
    18. Zilian, Laura S. & Zilian, Stella S. & Jäger, Georg, 2021. "Labour market polarisation revisited: evidence from Austrian vacancy data," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 55, pages 1-7.
    19. Backstrom, Jesse, 2019. "Strategic Reporting and the Effects of Water Use in Hydraulic Fracturing on Local Groundwater Levels in Texas," Center for Growth and Opportunity at Utah State University 307177, Center for Growth and Opportunity.
    20. Santos, Sergio & Kissamitaki, Maritsa & Chiesa, Matteo, 2020. "Should humans work?," Telecommunications Policy, Elsevier, vol. 44(6).

    More about this item

    Keywords

    automation; automated driving; self-driving truck; public perception; freight transport;
    All these keywords.

    JEL classification:

    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
    • M19 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Other
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:zbw:iubhtl:1januar2023. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://www.iu.de/forschung/ .

    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.