In order to solve the problem that urbantraffic disadvantage groups lacked of quantitative classification methods, the definition and classification of urbantraffic disadvantage groups are summarized, selecteing the classification index, based on the two step cluster, traffic group segmentation model is constructed. Used the investigation datas of Chongqing, SPSS was used to calculate and automatically determine the optimal number of clusters, and then got five clusters, the characteristics of each cluster were compared. The results show that urbantraffic disadvantage groups account for 38.5% of the total sample. Urbantraffic disadvantage groups have significant differences with other groups in five variables, namely, vehicle, age, mode, profession and gender. The profession of urbantraffic disadvantage groups mainly for primary and secondary school students or elderly migrant workers, unemployed, retired. Their families are made up of large families, single workers or retired people. They have low income, single mode of travel and low degree of motorization.

CICTP