Public Perception regarding Autonomous Vehicles in Developing Countries: A Case study of Pakistan

Authors

  • Muhammad Awais Shafique University of Central Punjab
  • Muhammad Soban Afzal University of Central Punjab
  • Numan Riaz University of Central Punjab
  • Ali Ahmed University of Engineering and Technology

Abstract

Autonomous vehicles are not only revolutionizing the automotive industry throughout the world, but also shaping a new form of safe, convenient and homogeneous transport system. However, the acceptance of this innovative technology depends on public perception. This issue of acceptance becomes more complex in developing countries, like Pakistan, due to completely different socio-economic conditions and values. This study aims at understanding the acceptance of autonomous vehicle technology from the perception of the youth of Pakistan. A questionnaire containing various questions regarding awareness, concerns, anticipated benefits and scenario settings were distributed among 356 students from three universities in Lahore namely University of Central Punjab, University of Engineering and Technology and University of Management and Technology. Results revealed that most of the participants are aware of this technology, although autonomous vehicles are not yet launched in Pakistan. Further, respondents showed serious concerns regarding the idea of travelling in a driverless public vehicle as well as encountering driverless trucks on road, while accepting most of the advantages associated with autonomous vehicles. The results also depicted a sense of distrust in autonomous vehicles used for unattended movement of kids.

References

[1] Casley, S., Jardim, A., & Quartulli, A. (2013). A study of public acceptance of autonomous cars (Bachelor of Science). Worcester Polytechnic Institute, Worcester, MA, USA.

[2] Dixit, V. V., Chand, S., & Nair, D. J. (2016). Autonomous Vehicles: Disengagements, Accidents and Reaction Times. PLOS ONE, 11(12), e0168054.
doi: 10.1371/journal.pone.0168054.

[3] Edwards, M., Nathanson, A., & Wisch, M. (2014). Estimate of potential benefit for Europe of fitting autonomous emergency braking (AEB) systems for pedestrian protection to passenger cars. Traffic injury prevention, 15 (sup1), S173-S182.

[4] Fagnant, D. J., & Kockelman, K. (2015). Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations. Transportation Research Part A: Policy and Practice, 77, 167-181.

[5] Fleetwood, J. (2017). Public Health, Ethics, and Autonomous Vehicles. American Journal of Public Health, 107(4), 532-537.
doi: 10.2105/ajph.2016.303628.

[6] Hevelke, A., & Nida-Rümelin, J. (2015). Responsibility for Crashes of Autonomous Vehicles: An Ethical Analysis. Science and Engineering Ethics, 21(3), 619-630.
doi: 10.1007/s11948-014-9565-5.

[7] Howard, D., & Dai, D. (2014). Public perceptions of self-driving cars: The case of Berkeley, California. Paper presented at the Transportation research board 93rd annual meeting.

[8] Hubele, N., & Kennedy, K. (2018). Forward collision warning system impact. Traffic injury prevention, 19(sup2), S78-S83.
[9] Kelley, B. (2017). Public health, autonomous automobiles, and the rush to market. Journal of public health policy, 38(2), 167-184.

[10] Montoro, L., Useche, S. A., Alonso, F., Lijarcio, I., Bosó-Seguí, P., & Martí-Belda, A. (2019). Perceived safety and attributed value as predictors of the intention to use autonomous vehicles: A national study with Spanish drivers. Safety Science, 120, 865-876.

[11] Pettigrew, S., Fritschi, L., & Norman, R. (2018). The potential implications of autonomous vehicles in and around the workplace. International journal of environmental research and public health, 15(9), 1876.

[12] Pettigrew, S., Talati, Z., & Norman, R. (2018). The health benefits of autonomous vehicles: Public awareness and receptivity in Australia. Australian and New Zealand journal of public health, 42(5), 480-483.

[13] Taiebat, M., Brown, A. L., Safford, H. R., Qu, S., & Xu, M. (2018). A Review on Energy, Environmental, and Sustainability Implications of Connected and Automated Vehicles. Environmental Science & Technology, 52(20), 11449-11465.
doi: 10.1021/acs.est.8b00127.

Downloads

Published

2021-01-19

Issue

Section

Civil Engineering,Structures, Construction, Geo technology, Water, Transportation