Accurate forecasting of passenger flow (i.e., ridership) is critical to the operation urban metro systems. Previous studies mainly model as time series by aggregating individual trips and then perform based on values in past several steps. However, this approach essentially overlooks fact that consists from each traveler. For example, a traveler’s work trip morning can help predict his/her home...