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Determining the Acceptance and the Willingness to Pay for Private and Public Autonomous Vehicles

Naderi, Hossein | 2023

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 56738 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Nassiri, Habibollah
  7. Abstract:
  8. Autonomous vehicles (AVs) offer numerous advantages in reducing traffic accidents, alleviating congestion, and enhancing mobility for special populations such as the elderly and disabled. However, for society to truly benefit from these advantages, widespread acceptance and usage of these cars are necessary. It is crucial to identify the factors that promote acceptance of these cars in different societies and take action to strengthen them, involving both governments and car manufacturers. So far, most studies on AVs acceptance models have primarily focused on developed countries, with less attention given to how people in developing countries perceive this technology. Additionally, previous studies have often concentrated on developing acceptance models without considering the influence of moderating variables or the behavioral differences among various societal groups. Another significant factor to consider in this field is people's willingness to pay for using this technology. Therefore, this research aims to first develop an acceptance model for self-driving cars in two modes of transportation: 1) personal AVs and 2) public autonomous vans. Subsequently, deeper investigations explore the effects of moderating variables on these models across four categories: 1) demographic characteristics, 2) personality traits, 3) experience of traffic accidents, and 4) driving behavior. In Study A, 553 citizens of Tehran participated in an online field study to collect their opinions on AVs. The data underwent pre-processing, and the self-driving car acceptance model was developed using the structural equation modeling method with the partial least squares approach. Furthermore, the study examined the effects of moderating variables on the path coefficients of this model using the stepwise approach and the product approach. In Study B, 824 citizens of Tehran participated to develop an acceptance model specifically for public autonomous vans. The study also investigated the effects of moderating variables on this model. In the second step of the study, the willingness to pay for these two modes of transportation was examined using the sequential logit model, identifying the variables that influence the increase in willingness to pay among Tehrani citizens
  9. Keywords:
  10. Autonomous Vehicles (AVs) ; Willingness to Pay ; Structural Equations Modeling ; Ordered Logit Model ; Public Autonomous Van ; Automade Vehciles Acceptance

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