Data-Driven Approaches to Mining Passenger Travel Patterns: “Left-Behinds” in a Congested Urban Rail Transit Network

Table 7

Detailed information of theoretical feasible space-time-sequence trajectories.

No.	Board Train	Origin	Transfer	Destination	Left-behind
1	1S443, 422219	88 s	65 s	676 s	none
2	1Q445, 162221	88 s	205 s	489 s	once at Dongwuyuan
3	1Q445, 022222	88 s	205 s	339 s	once each at Dongwuyuan and Xizhimen
4	1Q445, 322223	88 s	355 s	189 s	once each at Dongwuyuan and Xizhimen
5	1A447, 322223	88 s	235 s	189 s	twice at Dongwuyuan and once at Xizhimen