Skip to main content

Carriage Without a Driver – User Requirements for Intelligent Autonomous Mobility Services

  • Conference paper
  • First Online:
Advances in Human Aspects of Transportation (AHFE 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 786))

Included in the following conference series:

Abstract

In this paper, the user requirements for future autonomous mobility services, i.e. autonomous ridesharing and the potential influence of gender are investigated following a two-tiered procedure. Subsequently to interviews, a questionnaire study including 893 participants was conducted, in which attitudes and requirements were evaluated. It turned out that users are generally open to the new mobility service. Factors of the journey itself, such as the determination of routes and co-passengers were perceived as important, whereas the vehicle equipment and the entertainment facilities were rather unimportant. In general, almost no willingness to pay surcharges for an additional individualization of the service was determined. While men and women differ in terms of readiness to use and evaluation of the service, no differences were found in the requirements for booking options and the willingness to pay.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Steg, L.: Can public transport compete with the private car? IATSS Res. 27(2), 27–35 (2003)

    Article  Google Scholar 

  2. European Commission: Annual Accident Report 2017. European Road Safety Observatory. https://ec.europa.eu/transport/road_safety/sites/roadsafety/files/pdf/statistics/dacota/asr2017.pdf. Accessed 01 Mar 2018

  3. The National Academies of Sciences, Engineering, and Medicine: Joint science academies’ Statement: Global response to climate change. http://nationalacademies.org/onpi/06072005.pdf. Accessed 01 Mar 2018

  4. Umweltbundesamt: Treibhausgas-Emissionen in Deutschland. https://www.umweltbundesamt.de/daten/klima/treibhausgas-emissionen-in-deutschland. Accessed 01 Mar 2018

  5. National Highway Traffic Safety Administration (NHTSA): National Motor Vehicle Crash Causation Survey. https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/811059. Accessed 01 Mar 2018

  6. National Highway Traffic Safety Administration (NHTSA): National Automated Vehicles for Safety. https://www.nhtsa.gov/technology-innovation/automated-vehicles-safety#issue-road-self-driving. Accessed 01 Mar 2018

  7. Bansal, P., Kockelman, K., Singh, A.: Assessing public opinions of and interest in new vehicle technologies: an austin perspective. Transp. Res. Part C Emerg. Technol. 67, 1–14 (2016)

    Article  Google Scholar 

  8. Stocker, A., Shaheen, S.: Shared automated mobility: early exploration and potential impacts. In: Road Vehicle Automation 4, pp. 125–139. Springer, Cham (2017)

    Google Scholar 

  9. Wielinski, G., Trépanier, M., Morency, C.: Electric and hybrid car use in a free-floating carsharing system. Int. J. Sustain. Transp. 11, 161–169 (2016)

    Article  Google Scholar 

  10. Chen, Y., Young, S., Qi, X., Gonder, J.: Estimate of fuel consumption and GHG emission impact from an automated mobility district. In: 2015 International Conference on Connected Vehicles and Expo (ICCVE), pp. 271–278. IEEE (2015)

    Google Scholar 

  11. Howard, D., Dai, D.: Public perceptions of self-driving cars: the case of Berkeley, California. In: 93rd Annual Meeting Compendium of Papers. TRB, Washington (2014)

    Google Scholar 

  12. Schmidt, T., Philipsen, R., Ziefle, M.: Safety First? - V2X – perceived benefits, barriers and trade-offs of automated driving. In: Proceedings of the 1st International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS), pp. 39–46. SciTePress, Setúbal (2015)

    Google Scholar 

  13. Richardson, N., Doubek, F., Kuhn, K., Stumpf, A.: Assessing truck drivers’ and fleet managers’ opinions towards highly automated driving. In: Advances in Intelligent Systems and Computing, pp. 473–484. Springer, Cham (2016)

    Google Scholar 

  14. Rödel, C., Stadler, S., Meschtscherjakov, A., Tscheligi, M.: Towards autonomous cars. In: Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications - AutomotiveUI 2014, pp. 1–8. ACM, New York (2014)

    Google Scholar 

  15. Böhm, P., Kocur, M., Firat, M., Isemann, D.: Which factors influence attitudes towards using autonomous vehicles? In: Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct - AutomotiveUI 2017, pp. 141–145. ACM, New York (2017)

    Google Scholar 

  16. dell’Olio, L., Ibeas, A., Cecin, P.: The quality of service desired by public transport users. Transp. Policy 18, 217–227 (2011)

    Article  Google Scholar 

  17. Beirão, G., Sarsfield Cabral, J.: Understanding attitudes towards public transport and private car: a qualitative study. Transp. Policy 14, 478–489 (2007)

    Article  Google Scholar 

  18. Redman, L., Friman, M., Gärling, T., Hartig, T.: Quality attributes of public transport that attract car users: a research review. Transp. Policy 25, 119–127 (2013)

    Article  Google Scholar 

  19. Schoettle, B., Sivak, M.: Motorists’ preferences for different levels of vehicle automation (2016). http://umich.edu/~umtriswt/PDF/SWT-2016-8.pdf. Accessed 01 Mar 2018

  20. Hohenberger, C., Spörrle, M., Welpe, I.: How and why do men and women differ in their willingness to use automated cars? The influence of emotions across different age groups. Transp. Res. Part A Policy Pract. 94, 374–385 (2016)

    Article  Google Scholar 

  21. Neyer, F., Felber, J., Gebhardt, C.: Entwicklung und Validierung einer Kurzskala zur Erfassung von Technikbereitschaft (technology commitment). Diagnostica 58, 87–99 (2012)

    Article  Google Scholar 

  22. Wagenmakers, E., Marsman, M., Jamil, T., Ly, A., Verhagen, J., Love, J., Selker, R., Gronau, Q., Šmíra, M., Epskamp, S., Matzke, D., Rouder, J., Morey, R.: Bayesian inference for psychology. Part I: theoretical advantages and practical ramifications. Psychon. Bull. Rev. 25, 35–57 (2017)

    Article  Google Scholar 

Download references

Acknowledgments

The authors thank all participants for sharing opinions on a novel technology. Furthermore, thanks go to Susanne Gohr, Jennifer Kirstgen and Kevin Wegener for their research assistance, as well as to Philip Glass for inspiring the paper title.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ralf Philipsen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Philipsen, R., Brell, T., Ziefle, M. (2019). Carriage Without a Driver – User Requirements for Intelligent Autonomous Mobility Services. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2018. Advances in Intelligent Systems and Computing, vol 786. Springer, Cham. https://doi.org/10.1007/978-3-319-93885-1_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-93885-1_31

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93884-4

  • Online ISBN: 978-3-319-93885-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics