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作 者:刘志伟 刘建荣[2] 邓卫[3] LIU Zhiwei;LIU Jianrong;DENG Wei(School of Civil Engineering and Architecture,Wuhan Polytechnic University,Wuhan 430023,China;School of Civil Engineering and Transportation,South China University of Technology,Guangzhou 510640,China;School of Transportation,Southeast University,Nanjing 211189,China)
机构地区:[1]武汉轻工大学土木工程与建筑学院,湖北武汉430023 [2]华南理工大学土木与交通学院,广东广州510640 [3]东南大学交通学院,江苏南京211189
出 处:《西南交通大学学报》2021年第6期1161-1168,共8页Journal of Southwest Jiaotong University
基 金:湖北省自然科学基金(2020CFB290);国家自然科学基金(51578247)。
摘 要:无人驾驶汽车对出行者出行选择行为具有重要影响,进而可以影响到城市交通需求、城市空间布局和城市规划.基于扩展技术接受模型和考虑不同出行者偏好的异质性,建立带潜变量的随机系数Logit模型,研究出行者的出行特征、心理潜变量和个体的社会经济属性对无人驾驶汽车选择行为的影响.结果表明:与传统的多项Logit模型相比,带潜变量的随机系数Logit模型拟合度更高;不同的出行者对出行费用的偏好具有异质性,在效用函数中,出行费用服从正态分布;无人驾驶汽车选择行为不仅受到出行特征和社会经济属性的影响,而且还受到感知信任、社会规范和行为意向等心理潜变量的影响;降低无人驾驶汽车的出行费用可以提升出行者选择无人驾驶汽车出行的概率.Autonomous vehicles have an important influence on travel mode choices of travelers,which can affect urban traffic demand,urban spatial layout and urban planning.Based on the extended technology acceptance model and the heterogeneity of different travelers’preferences,a random parameter Logit model(RPLM)with latent variables is established to study the impact of travel characteristics,psychological latent variables and individual socio-economic attributes on the travelers’behavior of choosing autonomous vehicles.The results show that,RPLM has a better fitting degree than the traditional multiple Logit model.Different travelers have heterogeneous preferences for travel cost,and the travel cost follows a normal distribution in the utility function.Travelers’choice behavior of autonomous vehicles is not only affected by travel characteristics and socioeconomic attributes,but also by psychological latent variables,such as perceived trust,social norms and behavioral intention.Reducing the travel cost of autonomous vehicle can significantly increase the probability that travelers choose autonomous vehicle.
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