Skip to main content

Advertisement

Log in

A theoretical investigation of user acceptance of autonomous public transport

  • Published:
Transportation Aims and scope Submit manuscript

Abstract

Achieving a critical mass in the acceptance of fully autonomous public transport (APT) is crucial for a society to effectively realise APT’s intended environmental, social and economic benefits. The current study analyses the determinants contributing to user acceptance of APT through three theoretical lenses, namely, Unified Theory of Acceptance and Use of Technology (UTAUT), Perceived Value Theory and Social Exchange Theory. Survey data were collected from 476 commuters in Beijing, China. The results reveal that the five dimensions of UTAUT (i.e. performance expectancy, effort expectancy, social influence, facilitating conditions and hedonic motivation) have positive influence on users’ value perception of APT. Consequently, users’ value perception of APT exerts both direct and indirect influences on users’ acceptance of APT via trust. A key contribution of this study is the combination and synthesis of several complementary behavioural theories to explain user acceptance of autonomous vehicles. In addition, the results offer important implications for transport policymakers and operators, in particular, pertaining to areas on resource allocation, marketing, communication and education to improve user acceptance of APT.

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

  • Abraham, H., Lee, C., Brady, S., Fitzgerald, C., Mehler, B., Reimer, B., Coughlin, J.F.: Autonomous vehicles, trust, and driving alternatives: A survey of consumer preferences. Massachusetts Inst. Technol, AgeLab, Cambridge, 1, 16 (2016)

  • Bae, I., Moon, J., Seo, J.: Toward a comfortable driving experience for a self-driving shuttle bus. Electronics 8, 943 (2019)

    Article  Google Scholar 

  • Bansal, P., Kockelman, K.M., 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 

  • Becker, F., Axhausen, K.W.: Literature review on surveys investigating the acceptance of automated vehicles. Transportation 44, 1293–1306 (2017)

    Article  Google Scholar 

  • Bernhard, C., Oberfeld, D., Hoffmann, C., Weismüller, D., Hecht, H.: User acceptance of automated public transport: Valence of an autonomous minibus experience. Transport. Res. F Traffic Psychol. Behav. 70, 109–123 (2020)

    Article  Google Scholar 

  • Cheng, Y.-H., Tseng, W.-C.: Exploring the effects of perceived values, free bus transfer, and penalties on intermodal metro-bus transfer users’ intention. Transp. Policy 47, 127–138 (2016)

    Article  Google Scholar 

  • Chng, S., Cheah, L.: Understanding autonomous road public transport acceptance: a study of Singapore. Sustainability 12, 4974 (2020)

    Article  Google Scholar 

  • Choi, J.K., Ji, Y.G.: Investigating the importance of trust on adopting an autonomous vehicle. Int. J. Human Comput. Interact. 31, 692–702 (2015)

    Article  Google Scholar 

  • Deb, S., Strawderman, L., Carruth, D.W., Dubien, J., Smith, B., Garrison, T.M.: Development and validation of a questionnaire to assess pedestrian receptivity toward fully autonomous vehicles. Transp. Res. Part C Emerg. Technol. 84, 178–195 (2017)

    Article  Google Scholar 

  • Fagnant, D.J., Kockelman, K.: Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations. Transp. Res. Part A Policy Practice 77, 167–181 (2015)

    Article  Google Scholar 

  • Friman, M., Lättman, K., Olsson, L.E.: Public transport quality, safety, and perceived accessibility. Sustainability 12, 3563 (2020)

    Article  Google Scholar 

  • Gkartzonikas, C., Gkritza, K.: What have we learned? A review of stated preference and choice studies on autonomous vehicles. Transp. Res. Part C Emerg. Technol. 98, 323–337 (2019)

    Article  Google Scholar 

  • Haboucha, C.J., Ishaq, R., Shiftan, Y.: User preferences regarding autonomous vehicles. Transp. Res. Part C Emerg. Technol. 78, 37–49 (2017)

    Article  Google Scholar 

  • Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E., Tatham, R.L.: Multivariate Data Analysis, Prentice Hall Upper Saddle River, NJ (2010)

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

    Article  Google Scholar 

  • Hengstler, M., Enkel, E., Duelli, S.: Applied artificial intelligence and trust—The case of autonomous vehicles and medical assistance devices. Technol. Forecast. Soc. Chang. 105, 105–120 (2016)

    Article  Google Scholar 

  • Hewitt, C., Politis, I., Amanatidis, T, Sarkar, A.: Assessing public perception of self-driving cars: The autonomous vehicle acceptance model. Proceedings of the 24th international conference on intelligent user interfaces, 518–527 (2019)

  • Hu, L.T., Bentler, P.M.: Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct. Equ. Model. 6, 1–55 (1999)

    Article  Google Scholar 

  • Hudson, J., Orviska, M., Hunady, J.: People’s attitudes to autonomous vehicles. Transp. Res. Part A Policy Practice 121, 164–176 (2019)

    Article  Google Scholar 

  • Hulse, L.M., Xie, H., Galea, E.R.: Perceptions of autonomous vehicles: relationships with road users, risk, gender and age. Saf. Sci. 102, 1–13 (2018)

    Article  Google Scholar 

  • Iclodean, C., Cordos, N., Varga, B.O.: Autonomous shuttle bus for public transportation: a review. Energies 13, 2917 (2020)

    Article  Google Scholar 

  • Jing, P., Xu, G., Chen, Y., Shi, Y., Zhan, F.: The determinants behind the acceptance of autonomous vehicles: a systematic review. Sustainability 12, 1719 (2020)

    Article  Google Scholar 

  • Kaur, K., Rampersad, G.: Trust in driverless cars: Investigating key factors influencing the adoption of driverless cars. J. Eng. Tech. Manage. 48, 87–96 (2018)

    Article  Google Scholar 

  • Kettles, N., Van Belle, J.-P.: Investigation into the antecedents of autonomous car acceptance using an enhanced UTAUT model. 2019 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD), IEEE, 1–6 (2019)

  • Kline, R.B.: Principles and Practice of Structural Equation Modeling, The Guilford Press (2010)

  • Labeye, E., Brusque, C., Regan, M.A.: Driver acceptance of electric vehicles: findings from the French MINI E study. CRC Press, Driver Acceptance of New Technology (2018)

    Google Scholar 

  • Liljamo, T., Liimatainen, H., Pöllänen, M.: Attitudes and concerns on automated vehicles. Transport. Res. f: Traffic Psychol. Behav. 59, 24–44 (2018)

    Article  Google Scholar 

  • Litman, T.: Autonomous vehicle implementation predictions, Victoria Transport Policy Institute Victoria, Canada (2017)

  • Liu, F., Zhao, F., Liu, Z., Hao, H.: Can autonomous vehicle reduce greenhouse gas emissions? A Country-Level Evaluation. Energy Policy 132, 462–473 (2019)

    Article  Google Scholar 

  • Lois, D., Moriano, J.A., Rondinella, G.: Cycle commuting intention: A model based on theory of planned behaviour and social identity. Transport. Res. F Traffic Psychol. Behav. 32, 101–113 (2015)

    Article  Google Scholar 

  • Lu, Z., Du, R., Dunham-Jones, E., Park, H., Crittenden, J.: Data-enabled public preferences inform integration of autonomous vehicles with transit-oriented development in Atlanta. Cities 63, 118–127 (2017)

    Article  Google Scholar 

  • Madigan, R., Louw, T., Wilbrink, M., Schieben, A., Merat, N.: What influences the decision to use automated public transport? Using UTAUT to understand public acceptance of automated road transport systems. Transport. Res. F Traffic Psychol. Behav. 50, 55–64 (2017)

    Article  Google Scholar 

  • Mouratidis, K., Serrano, V.C.: Autonomous buses: Intentions to use, passenger experiences, and suggestions for improvement. Transp. Res. F. Traffic Psychol. Behav. 76, 321–335 (2021)

    Article  Google Scholar 

  • Niu, J., Geng, H., Zhang, Y., Du, X.: Relationship between automation trust and operator performance for the novice and expert in spacecraft rendezvous and docking (RVD). Appl. Ergon. 71, 1–8 (2018)

    Article  Google Scholar 

  • Nordhoff, S., De Winter, J., Kyriakidis, M., Van Arem, B., Happee, R.: Acceptance of driverless vehicles: results from a large cross-national questionnaire study. J. Adv. Transp. (2018b)

  • Nordhoff, S., De Winter, J., Madigan, R., Merat, N., Van Arem, B., Happee, R.: User acceptance of automated shuttles in Berlin-Schöneberg: A questionnaire study. Transport. Res. F Traffic Psychol. Behav. 58, 843–854 (2018b)

    Article  Google Scholar 

  • Nordhoff, S., Van Arem, B., Happee, R.: Conceptual model to explain, predict, and improve user acceptance of driverless podlike vehicles. Transp. Res. Rec. 2602, 60–67 (2016)

    Article  Google Scholar 

  • Paddeu, D., Shergold, I., Parkhurst, G.: The social perspective on policy towards local shared autonomous vehicle services (LSAVS). Transp. Policy 98, 116–126 (2020)

    Article  Google Scholar 

  • Pakusch, C., Bossauer, P.: User Acceptance of Fully Autonomous Public Transport. ICE-B, 52–60 (2017)

  • Pakusch, C., Stevens, G., Boden, A., Bossauer, P.: Unintended effects of autonomous driving: A study on mobility preferences in the future. Sustainability 10, 2404 (2018)

    Article  Google Scholar 

  • Panagiotopoulos, I., Dimitrakopoulos, G.: An empirical investigation on consumers’ intentions towards autonomous driving. Transp. Res. Part C Emerg. Technol. 95, 773–784 (2018)

    Article  Google Scholar 

  • Pathak, S., Sinha, S., Tiwari, M.: Role of parental control in adolescents’ level of trust communication with parents. Recent Adv. Psychol. 3, 129–140 (2016)

    Google Scholar 

  • Payne, A., Frow, P., Eggert, A.: The customer value proposition: evolution, development, and application in marketing. J. Acad. Mark. Sci. 45, 467–489 (2017)

    Article  Google Scholar 

  • Payre, W., Cestac, J., Delhomme, P.: Intention to use a fully automated car: Attitudes and a priori acceptability. Transp. Res. F Traffic Psychol. Behav. 27, 252–263 (2014)

    Article  Google Scholar 

  • Penmetsa, P., Adanu, E.K., Wood, D., Wang, T., Jones, S.L.: Perceptions and expectations of autonomous vehicles–A snapshot of vulnerable road user opinion. Technol. Forecast. Soc. Chang. 143, 9–13 (2019)

    Article  Google Scholar 

  • Podsakoff, P.M., Mackenzie, S.B., Lee, J.-Y., Podsakoff, N.P.: Common method biases in behavioral research: a critical review of the literature and recommended remedies. J. Appl. Psychol. 88, 879 (2003)

    Article  Google Scholar 

  • Rasoolimanesh, S.M., Jaafar, M., Kock, N., Ramayah, T.: A revised framework of social exchange theory to investigate the factors influencing residents’ perceptions. Tourism Manage. Perspect. 16, 335–345 (2015)

    Article  Google Scholar 

  • Rodrigue, J.-P., Comtois, C., Slack, B.: The geography of transport systems, Routledge (2016)

  • Roy, S.K., Shekhar, V., Lassar, W.M., Chen, T.: Customer engagement behaviors: The role of service convenience, fairness and quality. J. Retail. Consum. Serv. 44, 293–304 (2018)

    Article  Google Scholar 

  • Talebian, A., Mishra, S.: Predicting the adoption of connected autonomous vehicles: A new approach based on the theory of diffusion of innovations. Transp. Res. Part C Emerg. Technol. 95, 363–380 (2018)

    Article  Google Scholar 

  • Tirachini, A., Antoniou, C.: The economics of automated public transport: Effects on operator cost, travel time, fare and subsidy. Econ. Transp. 21, 100151 (2020)

    Article  Google Scholar 

  • Trubia, S., Curto, S., Severino, A., Arena, F., Zuccalà, Y.: Autonomous vehicles effects on public transport systems. AIP Conference Proceedings, AIP Publishing LLC, 110014 (2021)

  • Vasebi, S., Hayeri, Y.M., Samaras, C., Hendrickson, C.: Low-level automated light-duty vehicle technologies provide opportunities to reduce fuel consumption. Transp. Res. Rec. 2672, 60–74 (2018)

    Article  Google Scholar 

  • Venkatesh, V., Thong, J.Y.L., Xu, X.: Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS q. 36, 157–178 (2012)

    Article  Google Scholar 

  • Wang, X., Yuen, K.F., Wong, Y.D., Teo, C.C.: An innovation diffusion perspective of e-consumers’ initial adoption of self-collection service via automated parcel station. Int. J. Logistics Manage. 29, 237–260 (2018)

    Article  Google Scholar 

  • Yuen, K.F., Thai, V.V., Wong, Y.D.: An investigation of shippers’ satisfaction and behaviour towards corporate social responsibility in maritime transport. Transp. Res. Part A Policy Practice 116, 275–289 (2018a)

    Article  Google Scholar 

  • Yuen, K.F., Wang, X., Ma, F., Wong, Y.D.: The determinants of customers’ intention to use smart lockers for last-mile deliveries. J. Retail. Consum. Serv. 49, 316–326 (2019)

    Article  Google Scholar 

  • Yuen, K.F., Wang, X., Wong, Y.D., Zhou, Q.: The effect of sustainable shipping practices on shippers’ loyalty: the mediating role of perceived value, trust and transaction cost. Transp. Res. Part E Logist. Transp. Rev. 116, 123–135 (2018b)

    Article  Google Scholar 

  • Zhang, T., Tao, D., Qu, X., Zhang, X., Lin, R., Zhang, W.: The roles of initial trust and perceived risk in public’s acceptance of automated vehicles. Transp. Res. Part C Emerg. Technol. 98, 207–220 (2019)

    Article  Google Scholar 

  • Zmud, J.P., Sener, I.N.: Towards an understanding of the travel behavior impact of autonomous vehicles. Transp. Res. Proc. 25, 2500–2519 (2017)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xueqin Wang.

Ethics declarations

Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

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

Yuen, K.F., Choo, L.Q., Li, X. et al. A theoretical investigation of user acceptance of autonomous public transport. Transportation 50, 545–569 (2023). https://doi.org/10.1007/s11116-021-10253-w

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11116-021-10253-w

Keywords

Navigation