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The effect of ride experience on changing opinions toward autonomous vehicle safety

作     者:Xiaowei Shi Zhen Wang Xiaopeng Li Mingyang Pei 

作者机构:Department of Civil and Environmental EngineeringUniversity of South FloridaTampaFL33620USA School of Information EngineeringChang'an UniversityShaanxiChina Automatic Control Group and Urban Mobility Systems GroupChalmers University of TechnologyGothenburgSE-41296Sweden 

出 版 物:《Communications in Transportation Research》 (交通研究通讯(英文))

年 卷 期:2021年第1卷第1期

页      面:7-15页

核心收录:

学科分类:0502[文学-外国语言文学] 050201[文学-英语语言文学] 05[文学] 

基  金:sponsored by Susan A.Bracken Faculty Fellowship and National Science Foundation Grants CMMI#1558887 and#1932452 

主  题:Autonomous vehicle Technology acceptance Safety Ordered probit model Binary probit model 

摘      要:Autonomous vehicles(AVs)are a promising emerging technology that is likely to be widely deployed in the near *** s perception on AV safety is critical to the pace and success of deploying the AV *** studies found that people s perceptions on emerging technologies might change as additional information was *** investigate this phenomenon in the AV technology context,this paper conducted real-world AV experiments and collected factors that may associate with people s initial opinions without any AV riding experience and opinion change after a successful AV ride.A number of ordered probit and binary probit models considering data heterogeneity were employed to estimate the impact of these factors on people s initial opinions and opinion *** study found that people s initial opinions toward AV safety are significantly associated with people s age,personal income,monthly fuel cost,education experience,and previous AV ***,the factors dominating people s opinion change after a successful AV ride include people s age,personal income,monthly fuel cost,daily commute time,driving alone indicator,willingness to pay for AV technology,and previous AV *** results provide important references for future implementations of the AV ***,based on the inconsistent effects for variables across different models,suggestions for future transportation survey designs are provided.

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