Research Article

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

Table 4

(a) AVL data of Line 2

Train NumXizhimenXuanwumenChongwenmen
Arrive TimeDepart TimeArrive TimeDepart TimeArrive TimeDepart Time

30210810:12:3010:13:3010:24:3110:25:0110:31:0710:31:52
32210910:16:0010:17:0010:28:0110:28:3110:34:3710:35:22
19211010:20:3010:21:3010:32:3110:33:0110:39:0710:39:52
36211110:25:0010:26:0010:37:0110:37:3110:43:3710:44:22
38211210:29:3010:30:3010:41:3110:42:0110:48:0710:48:52
40211310:34:0010:35:0010:46:0110:46:3110:52:3710:53:22
6211410:38:3010:39:3010:50:3110:51:0110:57:0710:57:52

(b) AVL data of Line 10

Rail LineTrain NumStationArrival TimeDeparture Time

···············
102278Jinsong17:48:5017:49:25
102278Shuangjing17:50:5217:51:22
102278Guomao17:53:3017:54:20
···············
102302Liuliqiao19:44:2019:45:15
102302Xiju19:47:0619:47:51
102302Niwa19:49:0119:49:31