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The long road to automated trucking: Insights from driver focus groups

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  • Kishore Bhoopalam, A.
  • van den Berg, R.
  • Agatz, N.A.H.
  • Chorus, C.G.

Abstract

With the rapid progress of automated driving technology, self-driving vehicles are on the horizon. In this study, we look at what is likely to be the first implementation of a form of automated driving on public roads, i.e., truck platooning, where virtually connected trucks drive at short headways to save fuel and associated emissions. With progressing technology, we may see platoons with drivers resting while being in the truck or even platoons in which not all trucks require drivers. Hence, platooning technology has a significant impact on the jobs of truck drivers. Driver acceptance of this emerg- ing technology is therefore an important factor in the implementation of platooning and, consequently, automated driving in general. In this study, we explore the range of per- spectives that exist among drivers by conducting focus groups in the Netherlands. These discussions indicate that drivers foresee that platooning will eventually become a reality but believe it will have a negative impact on the quality of their work and their job satisfaction.

Suggested Citation

  • Kishore Bhoopalam, A. & van den Berg, R. & Agatz, N.A.H. & Chorus, C.G., 2021. "The long road to automated trucking: Insights from driver focus groups," ERIM Report Series Research in Management ERS-2021-003-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    • Handle: RePEc:ems:eureri:134317
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    1. Mittal, Neha & Udayakumar, Prashanth D. & Raghuram, G. & Bajaj, Neha, 2018. "The endemic issue of truck driver shortage - A comparative study between India and the United States," Research in Transportation Economics, Elsevier, vol. 71(C), pages 76-84.
    2. Daziano, Ricardo A. & Sarrias, Mauricio & Leard, Benjamin, 2016. "Are consumers willing to pay to let cars drive for them? Analyzing response to autonomous vehicles," RFF Working Paper Series dp-16-35, Resources for the Future.
    3. Wijngaards, Indy & Hendriks, Martijn & Burger, Martijn J., 2019. "Steering towards happiness: An experience sampling study on the determinants of happiness of truck drivers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 128(C), pages 131-148.
    4. Simpson, Jesse R. & Mishra, Sabyasachee & Talebian, Ahmadreza & Golias, Mihalis M., 2019. "An estimation of the future adoption rate of autonomous trucks by freight organizations," Research in Transportation Economics, Elsevier, vol. 76(C).
    5. Kaplan, Sigal & Manca, Francesco & Nielsen, Thomas Alexander Sick & Prato, Carlo Giacomo, 2015. "Intentions to use bike-sharing for holiday cycling: An application of the Theory of Planned Behavior," Tourism Management, Elsevier, vol. 47(C), pages 34-46.
    6. Martina Raue & Lisa A. D'Ambrosio & Carley Ward & Chaiwoo Lee & Claire Jacquillat & Joseph F. Coughlin, 2019. "The Influence of Feelings While Driving Regular Cars on the Perception and Acceptance of Self‐Driving Cars," Risk Analysis, John Wiley & Sons, vol. 39(2), pages 358-374, February.
    7. Bernadette Szajna, 1996. "Empirical Evaluation of the Revised Technology Acceptance Model," Management Science, INFORMS, vol. 42(1), pages 85-92, January.
    8. Nowakowski, Christopher & Shladover, Steven E & Lu, Xiao-Yun & Thompson, Deborah & Kailas, Aravind, 2015. "Cooperative Adaptive Cruise Control (CACC) for Truck Platooning: Operational Concept Alternatives," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt7jf9n5wm, Institute of Transportation Studies, UC Berkeley.
    9. Sutton, Steve G. & Arnold, Vicky, 2013. "Focus group methods: Using interactive and nominal groups to explore emerging technology-driven phenomena in accounting and information systems," International Journal of Accounting Information Systems, Elsevier, vol. 14(2), pages 81-88.
    10. Robertson, Robyn D. & Meister, Shawna R. & Vanlaar, Ward G.M. & Mainegra Hing, Marisela, 2017. "Automated vehicles and behavioural adaptation in Canada," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 50-57.
    11. Kap Hwan Kim & Jong Wook Bae, 2004. "A Look-Ahead Dispatching Method for Automated Guided Vehicles in Automated Port Container Terminals," Transportation Science, INFORMS, vol. 38(2), pages 224-234, May.
    12. Simons, Dorien & Clarys, Peter & De Bourdeaudhuij, Ilse & de Geus, Bas & Vandelanotte, Corneel & Deforche, Benedicte, 2014. "Why do young adults choose different transport modes? A focus group study," Transport Policy, Elsevier, vol. 36(C), pages 151-159.
    13. Bhoopalam, Anirudh Kishore & Agatz, Niels & Zuidwijk, Rob, 2018. "Planning of truck platoons: A literature review and directions for future research," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 212-228.
    14. Chenming Jiang & Linjun Lu & Jian John Lu, 2017. "Socioeconomic factors affecting the job satisfaction levels of self-employed container truck drivers: a case study from Shanghai Port," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(5), pages 641-656, July.
    15. Fritschy, Carolin & Spinler, Stefan, 2019. "The impact of autonomous trucks on business models in the automotive and logistics industry–a Delphi-based scenario study," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    16. Taylor, Frederick Winslow, 1911. "The Principles of Scientific Management," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, number taylor1911.
    17. Rice, Stephen & Winter, Scott R. & Mehta, Rian & Ragbir, Nadine K., 2019. "What factors predict the type of person who is willing to fly in an autonomous commercial airplane?," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 131-138.
    18. Kaveh Azadeh & René De Koster & Debjit Roy, 2019. "Robotized and Automated Warehouse Systems: Review and Recent Developments," Transportation Science, INFORMS, vol. 53(4), pages 917-945, July.
    19. Ljubica Nedelkoska & Glenda Quintini, 2018. "Automation, skills use and training," OECD Social, Employment and Migration Working Papers 202, OECD Publishing.
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    Cited by:

    1. Schuster, Amy M. & Agrawal, Shubham & Britt, Noah & Sperry, Danielle & Van Fossen, Jenna A. & Wang, Sicheng & Mack, Elizabeth A. & Liberman, Jessica & Cotten, Shelia R., 2023. "Will automated vehicles solve the truck driver shortages? Perspectives from the trucking industry," Technology in Society, Elsevier, vol. 74(C).
    2. Talebian, Ahmadreza & Mishra, Sabyasachee, 2022. "Unfolding the state of the adoption of connected autonomous trucks by the commercial fleet owner industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).

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    Keywords

    automated trucking; driver focus groups; self-driving vehicles; truck platooning;
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