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

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

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...