期刊论文

Travelers 'choice behavior of autonomous vehicles based on latent class

中文

吉林大学学报(工学版)

1671-5497

2021

51

04

1261-1268

10.13229/j.cnki.jdxbgxb20200390

国家自然科学基金项目（51578247）； 湖北省自然科学基金项目（2020CFB290）；

本校为第一机构

为了分析出行者出行选择偏好的异质性和无人驾驶汽车对出行选择行为的影响,基于扩展技术接受模型的理论框架,将心理潜变量纳入潜在类别条件Logit模型,建立混合选择模型进行实证研究。结果表明:相比传统的条件Logit模型,潜在类别条件Logit模型的拟合优度更高。受访出行者可以分为共享无人驾驶汽车偏好群体、小汽车偏好群体和私人无人驾驶汽车偏好群体,3个潜在类别分别占比为46.5%、13.0%和40.5%。小汽车偏好群体对步行与等待时间和出行费用持正向评价,私人无人驾驶汽车偏好群体对停车费用持负面评价。感知易用性和感知信任两个潜变量对出行者潜在类别划分具有显著影响。

In order to analyze the preferences heterogeneity of travelers and the influence of autonomous vehicles on travel behavior, this study incorporates the latent psychological variables into the latent-class conditional Logit model based on the theoretical framework of the extended technology acceptance model. A hybrid choice model is established to conduct empirical research. The results show that compared with the traditional conditional Logit model, the latent-class conditional Logit model has higher fitness. Respondents can be divided into three subgroups: the shared autonomous vehicles prefe...