Cluster Analysis on Urban Rail Transit Ticket Types

In order to overcome and optimize the casualness of the traditional urban rail transit ticket type settings. First of all rail transit tickets will be divided into fundamental type and extended type, and on the base of it, the affecting factors of ticket type settings will be discussed; then four clustering variables are selected which include carfare frame consistency, passenger attractiveness, urban traffic coordination and city characteristic consistency, analyze ticket type settings qualitatively, establish the model in accordance with actual survey data of the forthcoming operating rail transit. The example showed that the cluster analysis is a good tools for ticket type classification, and the urban rail transit tickets decision-making model established by cluster analysis method is feasible and effective, which can be set up for the operational decisions such as the ticketing system to provide relevant information.