考虑居住区位的公共交通出行行为分析模型

为探讨不同层面居住区位对公共交通出行行为的影响，基于计划行为理论与群体动力理论，构建涵盖居住区位与心理影响因素共同作用的多水平结构方程模型.模型同时考虑个体层面与社区层面变量对出行选择的影响，利用Mplus软件标定模型参数.结果表明，不同层面变量对出行行为意向的影响存在差异.个体层面变量对行为意向的影响程度由大到小依次为：居住区位(0.665)、主观规范(0.664)、行为态度(0.577)、知觉行为控制(0.547).社区层面变量的影响程度为：行为态度(0.736)大于居住区位(0.646).

Analysis Model of Travel Behavior in Public Transportation Considering Residential Location

In order to explore the impact of residential location on travel behaviors in public transportation at different levels, a multilevel structural equation model was constructed that includes residential location and psychological factors, based on the theory of planned behavior and group dynamics theory. The model also considered the influence of individual and community factors on travel choice. The model parameters were calibrated by Mplus. The results show that the influence significance of different variables is different on travel behavior intention. The influence significance of individual factors on behavioral intention is residential location (0.665), subjective norm (0.664), behavioral attitude (0.577), and perceived behavioral control (0.547); whereas the influence significance of community factors on behavioral intention is behavioral attitude (0.736) and residential location (0.646).