驾驶员异质性对自动驾驶汽车共享道路意愿的影响

The Effect of Driver Heterogeneity on the Willingness of Autonomous Vehicles to Share the Road

为探讨驾驶员异质性对自动驾驶汽车共享道路意愿的影响,通过问卷调查收集了853份有效问卷,采用潜在类别模型将驾驶员分为科技依赖型和传统型2类,并利用有序Logit模型分析2类驾驶员在与自动驾驶汽车共享道路意愿上的差异。结果显示,科技依赖型驾驶员的共享意愿显著受到感知易用性、感知有用性和社会规范的影响,而传统型驾驶员则主要受感知易用性的影响。研究揭示了驾驶员技术接受行为的异质性,表明提升自动驾驶技术的易用性和社会支持可提高驾驶员的接受度,为推动自动驾驶技术的推广应用提供了实证支持,并提出了针对不同驾驶员群体的政策建议。

To explore the impact of driver heterogeneity on the willingness of autonomous vehicles to share the road,853 valid questionnaires were collected through questionnaire survey,and drivers were divided into technology-dependent drivers and traditional drivers by using the potential category model,and the ordered Logit model was used to analyze the differences between the two types of drivers in the willingness to share the road with autonomous vehicles.The results show that technology-dependent drivers willingness to share is significantly affected by perceived ease of use,usefulness,and social norms.In contrast,perceived ease of use mainly affects traditional drivers willingness.This study revealed the heterogeneity of drivers technology acceptance behavior,indicating that improving the ease of use and social support of autonomous driving technology can effectively improve drivers acceptance,providing empirical support for promoting the application of autonomous driving technology,and putting forward policy recommendations for different driver groups.