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Perceptions and Attitudes Towards the Deployment of Autonomous and Connected Vehicles: Insights from Las Vegas, Nevada

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  • Sarah Dennis
  • Alexander Paz
  • Tan Yigitcanlar

Abstract

Connected and autonomous vehicles (CAVs) are quickly becoming part of our transportation systems, and their use is largely dependent on public perceptions. The objective of this study was to evaluate perceptions of CAVs. Specifically, understanding the differences between people who have ridden a CAV in downtown Las Vegas (shuttle-rider survey) versus those who have not (general survey) yet. Two different survey questionnaires were used to collect data that was analyzed by using penalized logistic regression. Results suggest that people who had exposure to CAVs feel more positively about CAVs. Similarly, young, highly educated, males feel more positively about CAVs than their respective counterparts.

Suggested Citation

  • Sarah Dennis & Alexander Paz & Tan Yigitcanlar, 2021. "Perceptions and Attitudes Towards the Deployment of Autonomous and Connected Vehicles: Insights from Las Vegas, Nevada," Journal of Urban Technology, Taylor & Francis Journals, vol. 28(3-4), pages 75-95, October.
    • Handle: RePEc:taf:cjutxx:v:28:y:2021:i:3-4:p:75-95
    DOI: 10.1080/10630732.2021.1879606
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    Citations

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    Cited by:

    1. Devon McAslan & Farah Najar Arevalo & David A. King & Thaddeus R. Miller, 2021. "Pilot project purgatory? Assessing automated vehicle pilot projects in U.S. cities," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-16, December.
    2. Fahimeh Golbabaei & Tan Yigitcanlar & Alexander Paz & Jonathan Bunker, 2023. "Perceived Opportunities and Challenges of Autonomous Demand-Responsive Transit Use: What Are the Socio-Demographic Predictors?," Sustainability, MDPI, vol. 15(15), pages 1-18, August.
    3. Butler, Luke & Yigitcanlar, Tan & Paz, Alexander & Areed, Wala, 2022. "How can smart mobility bridge the first/last mile gap? Empirical evidence on public attitudes from Australia," Journal of Transport Geography, Elsevier, vol. 104(C).
    4. Tao Li & Jianqiang Luo & Kaitong Liang & Chaonan Yi & Lei Ma, 2023. "Synergy of Patent and Open-Source-Driven Sustainable Climate Governance under Green AI: A Case Study of TinyML," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
    5. Tan Yigitcanlar & Rashid Mehmood & Juan M. Corchado, 2021. "Green Artificial Intelligence: Towards an Efficient, Sustainable and Equitable Technology for Smart Cities and Futures," Sustainability, MDPI, vol. 13(16), pages 1-14, August.
    6. Nader Zali & Sara Amiri & Tan Yigitcanlar & Ali Soltani, 2022. "Autonomous Vehicle Adoption in Developing Countries: Futurist Insights," Energies, MDPI, vol. 15(22), pages 1-26, November.
    7. Faisal, Asif & Yigitcanlar, Tan & Paz, Alexander, 2023. "Understanding driverless car adoption: Random parameters ordered probit model for Brisbane, Melbourne and Sydney," Journal of Transport Geography, Elsevier, vol. 110(C).
    8. Tan Yigitcanlar, 2022. "Towards Smart and Sustainable Urban Electromobility: An Editorial Commentary," Sustainability, MDPI, vol. 14(4), pages 1-7, February.

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