摘要
文中基于结构方程模型和随机参数Logit模型构建混合模型,利用技术接受度模型,考虑驾驶员心理潜变量因素,设计调查问卷获取数据,使用结构方程模型标定潜变量并量化,加入随机参数Logit模型,筛选出有显著影响的参数并提出激励策略.结果表明:感知有用性、感知易用性和外在社会影响对潮汐车道的行为态度有积极影响,内在心理影响和感知风险对潮汐车道的行为态度有消极影响,行为态度直接正向影响潮汐车道的使用意愿,感知风险对潮汐车道的使用意愿有负向影响.效应函数中,拥有车辆数为1是服从正态分布的随机参数.
A hybrid model was constructed based on structural equation model and stochastic parameter Logit model. Using the technology acceptance model and considering the driver’s psychological latent variables, a questionnaire was designed to obtain data. The latent variables were calibrated and quantified by structural equation model, and the Logit model with random parameters was added to screen out the parameters with significant influence and put forward the incentive strategy. The results show that perceived usefulness, perceived ease of use and external social influence have positive effects on tidal lane’s behavior and attitude. Internal psychological influence and perceived risk have negative effects on tidal lane’s behavior and attitude. Behavior and attitude have a direct positive impact on tidal lane’s willingness to use, while perceived risk has a negative impact on tidal lane’s willingness to use. In the effect function, the number of vehicles owned is 1, which is a random parameter that obeys normal distribution.
作者
魏双秋
潘义勇
陈诗意
蒋冠宇
WEI Shuangqiu;PAN Yiyong;CHEN Shiyi;JIANG Guanyu(College of Automobile and Traffic Engineering,Nanjing Forestry University,Nangjing 210037,China)
出处
《武汉理工大学学报（交通科学与工程版）》
2023年第1期1-6,共6页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
国家自然科学基金(51508280)
南京林业大学高学历人才基金(GXL2014031)。
