交通限行政策和推广纯电动汽车是实现绿色交通的重要途径． 为定量分析出行 者环保意识对绿色出行行为的影响，基于出行者环保态度和环保行为，利用潜在类别分析 模型对出行者进行潜在类别划分;将出行者的潜在类别作为解释变量带入双变量 Probit 模型中，分析出行者潜在类别和其他因素对私家车限行政策赞同度和纯电动车意愿购买 的影响． 研究结果表明:基于出行者环保态度和环保行为，出行者可划分为环境友好者、环 境中立者、伪环境友好者三类群体;在出行者绿色出行行为中，带入出行者类别能够显著 提高模型的拟合度;出行者潜在类别对绿色交通出行行为具有显著影响．

Restricting privates car use and promoting pure electric vehicles use are two important ways to realize green travel in China cities． In order to analyze the impact of travelers' environmental awareness on green travel， travelers were categorized with the latent class analysis based on travelers' attitude towards environment and trave- ling behaviors． Then travelers' latent class was introduced into the traditional bi-variate probit model as explanatory independent variables． And the impact of travelers' latent class on the approval of private car restriction policies and the purchase intention of pure electric vehicles were analyzed． The results show that according to their attitude towards environment and traveling behaviors，travelers can be categorized into three latent classes: the environ- mentalist，the non-environmentalist，the pseudo-environmentalist． There is a higher degree of fitting when incor- porating travelers' latent class into the bivariate probit model． And travelers' latent classes have great impacts on their green traveling choice．