首页|Cluster Analysis on Urban Rail Transit Ticket Types
Cluster Analysis on Urban Rail Transit Ticket Types
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
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。
componenturban rail transitticket type settingcluster analysis
Wang Zhansheng、Ding ling、Yang Liqiang、Zhang Ning
展开 >
General Manager's 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
ITS Institute of Ministry of Education Southeast university Nanjing, China
展开 >
Changsha(CN)
2010 International Conference on Intelligent Computation Technology and Automation
NETL
