Choice Behavior of Autonomous Vehicles Based on Logistic Models

Abstract

To understand the public's acceptance of autonomous vehicles, studies were conducted from the perspectives of personal attributes, travel demand and cognitions of autonomous vehicles based on 403 valid questionnaires. Influencing factors of whether travelers are purchasing autonomous vehicles, whether travelers without a driver's license intend to take a driver's license in the future and whether travelers are choosing an autonomous private car if travelers can only take a taxi or drive a private car are analyzed by building Logistic regression models. The results show that personal monthly income, driver's license, driving confidence, preference for autonomous vehicles and convenience of arriving at public transport stations will affect the purchase decision of autonomous vehicles; teenagers, long-distance travelers, students and employees of enterprises and institutions, those who believe that traditional taxis/taxi-hailing are unsafe, and those who lack confidence in driving have a higher probability of choosing autonomous vehicles. This research can be used to predict the probability of future purchase and use decisions for autonomous vehicles based on data from other populations.Sustainability 2020, 12, 54 2 of 16 automation. Vehicles are completely free from the driver's will and manipulate their driving on their own. This paper discusses the L5 level of autonomous driving, i.e., full driving automation.Many people are very supportive of the development of AVs with a series of merits: AVs are safer and can reduce human-induced road traffic accidents [1]; they are faster and can improve road capacity and alleviate urban traffic congestion; they are more environmentally-friendly and can improve fuel efficiency and reduce exhaust pollution [2-8]; they are more comfortable and provide travelers with better travel experience with hands-free [9]. However, there are also some people who are conservative about AVs with a series of drawbacks: AVs will deprive people of the pleasure of driving and may deprive people of driving skills; driverless systems may break down and threaten passengers' safety; and there are hidden dangers of personal privacy leakage in the process of information exchange [10][11][12][13]. In May 2016, a Tesla car in fully automatic driving in the United States collided with a large truck, and in 2018, an Uber autonomous car collided with a pedestrian during a road test, resulting in the pedestrians' death. These accidents caused people's attention and concern about the safety and ethical issues of AVs.With the development of driverless technology, there has been more and more research on AVs [14][15][16][17][18][19][20][21][22][23][24]. In terms of risk perception, Xu and Fan [25] studied the risk perception and insurance demand of AVs in the Chinese market. The results showed that the more people knew about driverless technology, the lower their risk expectations for AVs, and 69% of respondents were willing to pay more for autonomous vehicles' insurance. Wang and Zhao [26] studied the influen...

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