Skip to main content
Log in

Travelers’ preferences regarding autonomous mobility in the State of Qatar

  • Original Article
  • Published:
Personal and Ubiquitous Computing Aims and scope Submit manuscript

Abstract

Autonomous mobility is gaining increasing attraction in the international setting that results in a growing body of literature on various aspects. Preferences regarding the use of autonomous vehicles as an alternative transport mode are investigated in western and advanced countries as it provides the notion about what fraction of population will more inclined towards such technology and under what circumstances. This study focused on investigating travel preferences regarding autonomous mobility (in the form of privately owned AV (PAV) and shared AV (SAV) (such as on-demand taxi service). As a case study, the State of Qatar is studied and analyzed. A stated preference survey was designed and executed in a web-based questionnaire platform. Overall, data from n = 315 respondents were analyzed, and travel mode choice behavior was modeled using a logit model for the examination of travelers’ preferences. The results indicate that there exists a reluctance to prefer PAV and SAV, over a regular car (NC) while public transport (PT) is the least preferred mode. The comfort level that a vehicle can offer is found to be one of the most important factors for Qatari residents. Students and unemployed individuals have shown an inclination towards SAV while full-time employed individuals have shown a higher preference for PAVs. These results are helpful for government agencies and AVs marketing companies to develop plans and policies in line with travelers’ preferences.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Ticoll D (2015) Driving changes: automated vehicles in Toronto, Munk School of Global Affairs, University of Toronto

  2. Begg D (2014) A 2050 vision for London: what are the implications of driverless transport?

  3. Kuhr J, Juri NR, Bhat C, Archer J, Duthie J, Varela E, Zalawadia M, Bamonte T, Mirzaei A, Zheng H (2017) Travel modeling in an era of connected and automated transportation systems: an investigation in the Dallas-Fort Worth area. Data -supported Transportation Operations & Planning Center (D-STOP), The University of Texas at Austin

  4. Zmud JP, Sener IN (2017) Towards an understanding of the travel behavior impact of autonomous vehicles. Transport Res Procedia 25:2504–2523

    Article  Google Scholar 

  5. Cavoli, C., Phillips, B., Cohen, T. & Jones, P. (2017). Social and behavioural questions associated with automated vehicles a literature review

    Google Scholar 

  6. Fagnant DJ, Kockelman K (2015) Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations. Transp Res A Policy Pract 77:167–181

    Article  Google Scholar 

  7. Kyriakidis M, Happee R, De Winter JC (2015) Public opinion on automated driving: results of an international questionnaire among 5000 respondents. Transport Res F Traffic Psychol Behav 32:127–140

    Article  Google Scholar 

  8. Pinjari AR, Augustin B, Menon N (2013) Highway capacity impacts of autonomous vehicles: an assessment. Center for Urban Transportation, Department of Civil and Environmental Engineering, University of South Florida

  9. Wadud Z, Mackenzie D, Leiby P (2016) Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles. Transp Res A Policy Pract 86:1–18

    Article  Google Scholar 

  10. Azevedo CL, Marczuk K, Raveau S, Soh H, Adnan M, Basak K, Loganathan H, Deshmunkh N, Lee DH, Frazzoli E, Ben-Akiva M (2016) Microsimulation of demand and supply of autonomous mobility on demand. Transp Res Rec 2564(1):21–30

    Article  Google Scholar 

  11. UITP (2017) Autonomous vehicles: a potential game changer for urban mobility. Brussels. Retrieved from http://www.uitp.org/sites/default/files/cck-focus-papers-files/PolicyBrief_Autonomous_Vehicles_LQ_20160116.pdf

  12. Bansal P, Kockelman KM, Singh A (2016) Assessing public opinions of and interest in new vehicle technologies: an Austin perspective. Transport Res C Emerg Technol 67:1–14

    Article  Google Scholar 

  13. Yap MD, Correia G, Van Arem B (2016) Preferences of travellers for using automated vehicles as last mile public transport of multimodal train trips. Transp Res A Policy Pract 94:1–16

    Article  Google Scholar 

  14. Tussyadiah IP, Zach FJ, Wang J (2017) Attitudes toward autonomous on demand mobility system: the case of self-driving taxi. Information and Communication Technologies in Tourism 2017. Springer

  15. Shin KJ, Managi S (2017) Consumer demand for fully automated driving technology: evidence from Japan. Research Institute of Economy, Trade and Industry (RIETI)

  16. Harper CD, Hendrickson CT, Mangones S, Samaras C (2016) Estimating potential increases in travel with autonomous vehicles for the non-driving, elderly and people with travel-restrictive medical conditions. Transport Res C Emerg Technol 72:1–9

    Article  Google Scholar 

  17. Anderson JM, Nidhi K, Stanley KD, Sorensen P, Samaras C, Oluwatola OA (2014) Autonomous vehicle technology: a guide for policymakers. Rand Corporation

  18. Krueger R, Rashidi TH, Rose JM (2016) Preferences for shared autonomous vehicles. Transport Res C Emerg Technol 69:343–355

    Article  Google Scholar 

  19. Soliman A, Alhajyaseen W, Alfar R, Alkaabi I (2018) Changes in driving behavior across age cohorts in an Arab culture: the case of state of Qatar. Procedia Comput Sci 130:652–659

    Article  Google Scholar 

  20. Timmermans C, Alhajyaseen W, Reinolsmann N, Nakamura H, Suzuki K (2019) Traffic safety culture of professional drivers in the State of Qatar. IATSS Research

  21. Onat NC, Kucukvar M, Aboushaqrah NN, Jabbar R (2019) How sustainable is electric mobility? A comprehensive sustainability assessment approach for the case of Qatar. Appl Energy 250:461–477

    Article  Google Scholar 

  22. Adnan M, Altaf S, Bellemans T, Yasar A, Shakshuki E (2019) Last-mile travel and bicycle sharing system in small/medium sized cities: user’s preferences investigation using hybrid choice model. J Ambient Intell Humaniz Comput 10:4721. https://doi.org/10.1007/s12652-018-0849-5

    Article  Google Scholar 

Download references

Acknowledgments

This publication was made possible through the Research Agreement between Qatar Transportation and Traffic Safety Center at Qatar University and Khatib & Alami Engineering Consolidated Engineering Company.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Muhammad Adnan.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Alhajyaseen, W., Adnan, M., Abuhejleh, A. et al. Travelers’ preferences regarding autonomous mobility in the State of Qatar. Pers Ubiquit Comput 25, 141–149 (2021). https://doi.org/10.1007/s00779-020-01407-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00779-020-01407-1

Keywords

Navigation