A tri-level Nested Logit choice model was developed to optimize regional transportation corridors al-location.From the perspective of users and by applying hierarchical ideas,uncertain programming theory and random utility theory,the traffic mode choice in corridors was discussed.Taking Beijing-Shanghai transporta-tion corridor for instance,the model parameters were calibrated by using the Beijing-Shanghai maglev transit passenger forecast survey and other supplementary traffic survey data,and the rationality of the model was vali-dated.Results show that the model could overcome the defects of Multinomial Logit Model and be a promising approach to improve the structure configuration of transportation modes in regional transportation corridors.