Mining commuting behavior of urban rail transit network by using association rules

Mining commuting behavior of urban rail transit network by using association rules

Automated Fare Collection (AFC) systems in rail transit services collect enormous amounts of detailed data on on-board transactions. A better understanding of travelers’ commuting and transfer behavior based on those massive volumes of AFC data would enable the rail service operators to evaluate the...

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Bibliographic Details
Main Authors: Guo, Xin, Wang, David Zhi Wei, Wu, Jianjun, Sun, Huijun, Zhou, Li
Other Authors: School of Civil and Environmental Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Civil engineering
Data Mining
Association Rules
Online Access:https://hdl.handle.net/10356/159520

Internet

https://hdl.handle.net/10356/159520

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