基于结构方程模型的通勤交通方式选择

基于以往出行方式选择的相关研究中,大部分是基于个体属性对于方式选择的影响,而针对各类出行者特性与出行方式特征的关联性分析较少的情况,以拥有小汽车的中长距离通勤者为研究对象,提取相关的个体属性参数和交通方式特性参数构建结构方程模型,分析其个体属性与公交和小汽车出行特征之间的相互影响,从而探索各因素之间的关系以及对公交出行意愿的影响方向与程度.研究结果表明:个体的经济水平会对方式选择产生根本性的影响,更短的停车后步行时间、低廉的停车费用或充足的停车设施泊位供给会鼓励出行者选择自驾出行,而减少公交等车换乘时间,提高公交运行时速则会增强公交的吸引力,这对于城市中心区制定引导居民公交出行对策有一定借鉴意义.

Commute Traffic Mode Choice Based on Structural Equation Model

Previous traffic mode researches are mainly based on the influences of individual characteristics to the traffic mode choice, and researches on the correlation analysis of different kinds of individual specialties and different traffic mode features are very limited. Taking the medium and long distance commuters as subjects, a structural equation model was built in this paper by extracting selective parameters of individual specialty and traffic mode features. Meanwhile, interactions between the individual specialties and the traffic mode features of public transportation or self-driving were analyzed, and then the direction and degree of all effective factors and the public transportation willingness were captured. Results show that individual economic level has essential effect on the traffic mode choice. Less walking time after parking, lower parking fee and abundant parking spaces encourage people to commute by car. However, the public transportation attraction increases by reducing the waiting and transfer time, and improving the running speed. This paper has significance for policy makers in urban area who encourage people to travel by public transportation.