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 select four clustering variables are selected which include consistency with fare, attraction for passengers, consistency with city characteristic and the coordination with city transportation, analyze ticket types settings qualitatively, establish the model in accordance with the forthcoming opening rail transit actual survey data. Demonstrated by 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.
component urban rail transit ticket type setting cluster analysis
Wang Zhansheng Ding ling Yang Liqiang Zhang Ning
General Managers Office Su Zhou Metro Corporation. Suzhou, China ITS Institute of Ministry of Education Southeast University Nangjing, China ITS Institute of Ministry of Education Southeast University Nanjing, China
国际会议
长沙
英文
950-953
2010-05-11（万方平台首次上网日期，不代表论文的发表时间）