The Market Segmentation on Passenger Transportation of High-speed Railway with Logistic Regression Model

In this article, traveling passengers along Chongqing-Lichuan High-speed Railway line are regarded as research object in this paper. More than 5000 random sampling data of passenger travel and their characteristic along the Chongqing-Lichuan High-speed Railway line are obtained through SP/RP questionnaire design, and through the market segmentation by using Logistic regression to deal with these sampling data, three market segmentations are obtained: migrant workers, non-economic travel and business travel. Then three traveler characteristic indexes, age, monthly income and profession are statistically analyzed in each subordinate market segmentation, which could be helpful for the operators of Chongqing-Lichuan High-speed Railway to design differentiated products, thus realizing revenue maximization of passenger high-speed railway operation.