出行者对车内拥挤度的评价往往不一致，文中利用随机系数 Logit 模型对拥挤度 影响参数进行研究． 考虑到心理因素对出行者出行选择行为具有影响，文中研究加入了出 行者对出行舒适性要求这一潜在心理因素，并通过问卷调查的方式进行分析． 研究表明: 随机系数 Logit 模型比传统的离散选择模型具有更高的拟合度;随机系数 Logit 模型的效 用函数中，车票价格和车内时间的系数为非随机变量，但车内拥挤度的系数为随机变量， 且受到出行者对出行舒适性要求和车内时间的影响，出行者对出行舒适性的要求越高，车 内拥挤度对效用的影响越大，随着车内时间的延长，车内拥挤度对效用的影响减小．

There is significant heterogeneity among travelers＇evaluation on in-vehicle congestion． The impact of in- vehicle congestion was studied with the random parameters Logit model． In view of the impact of the latent psycho- logical factor on travelers＇mode choice，travelers＇demand of comfort was taken into account ． The results show that the random parameters Logit model fit the data much better than the traditional discrete choice model． From the re- sult，it can be concluded that，the parameters of price and in-vehicle time are non-random． However，the parame- ter of in-vehicle congestion is random，and it is affected by travelers＇demand of comfort when traveling and in-vehi- cle time． The impact of in-vehicle congestion increases as travelers＇ demand of comfort increases，and decreases when in-vehicle time increases．