Develop, Refine, and Validate a Survey to Assess Adult's Perspectives of Autonomous Ride-Sharing Services
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2021-06-01
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Edition:Final Report, 11/21/2019–06/20/2021
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Abstract:Autonomous vehicles (AVs) have generated great excitement for the future of transportation. Not only are self-driving cars already being piloted, but there is also significant interest and investment in shared automated transportation services by companies such as Uber, Lyft, and Voyage (Isaac, 2017). Despite the excitement, there is much uncertainty regarding their level of acceptance and adoption by the general public. Due to the lack of field data, it is currently extremely difficult to assess the acceptance and adoption practices of the population towards this “disruptive technology” (Bansal & Kockelman, 2017). In addition to demand-side factors (e.g., willingness to pay) and supply-side factors (e.g., technology prices), the perception of the end users must be considered. While there have been several surveys on user perception of AVs, most of them have focused on general public opinion of perceived benefits and concerns of AVs, and they are not directly tied to a field implementation of AVs (Bagloee et al., 2016). Experience and exposure to new technology affect adults’ perceptions and level of technology acceptance. As such, survey items were developed to assess whether adults’ potential exposure to the AV will be positive or negative. Furthermore, survey psychometrics were established to ensure that the FDOT Autonomous RideShare Services Survey (ARSSS) is a valid and reliable tool for assessing adults’ perceptions of AVs. Moreover, the interaction of AVs, especially those used in shared mobility services, were examined from the perspective of how they interact with other automobiles, bicyclists, and pedestrians – as leaders and as followers. Such behaviors of the AV and other road users were interpreted in terms of the design characteristics of the route for an Autonomous Vehicle Shuttle (AVS) at Lake Nona, FL. The survey and understanding AV–road-user behavior – two critical aspects of this project – are necessary for informing the acceptance and adoption practices among users of these AV technologies.
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