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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wang Zhansheng Ding Ling Yang Liqiang Zhang Ning |
| Copyright Year | 2010 |
| Abstract | 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. |
| Starting Page | 950 |
| Ending Page | 953 |
| File Size | 224773 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424472796 |
| e-ISBN | 9781424472802 |
| DOI | 10.1109/ICICTA.2010.829 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-05-11 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Automation Decision making Conference management Time measurement Cultural differences Information analysis Technology management component urban rail transit Cities and towns Rail transportation cluster analysis Testing ticket type setting |
| Content Type | Text |
| Resource Type | Article |
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