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

• المؤلفون الرئيسيون: Guo, Xin, Wang, David Zhi Wei, Wu, Jianjun, Sun, Huijun, Zhou, Li
• مؤلفون آخرون: School of Civil and Environmental Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Civil engineering; Data Mining; Association Rules
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/159520

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...