Exploring the Citywide Human Mobility Patterns of Taxi Trips through a Topic-Modeling Analysis

Table 4

Examples of the discovered interesting mobility patterns.

Words		Words
Topic 9		Topic 18
8 + (0, 10] + (30, 45]	0.10764	14 + (0, 10] + (0, 15]	0.08191
7 + (0, 10] + (30, 45]	0.07833	12 + (0, 10] + (15, 30]	0.07604
8 + (0, 10] + (15, 30]	0.07017	13 + (0, 10] + (15, 30]	0.04734
17 + (0, 10] + (15, 30]	0.04827	17 + (0, 10] + (0, 15]	0.04361
9 + (0, 10] + (30, 45]	0.04406	14 + (0, 10] + (15, 30]	0.04282
Topic 28		Topic 43
11 + (0, 10] + (0, 15]	0.26593	18 + (10, 20] + (135, 150]	0.01717
11 + (0, 10] + (15, 30]	0.16581	19 + (20, 30] + (15, 30]	0.01163
10 + (0, 10] + (15, 30]	0.06649	15 + (10, 20] + (90, 105]	0.01163
16 + (0, 10] + (0, 15]	0.04220	1 + (10, 20] + (90, 105]	0.00609
10 + (0, 10] + (0, 15]	0.03817	10 + (0, 10] + (45, 60]	0.00609
Topic 27		Topic 30
6 + (0, 10] + (75, 90]	0.01217	4 + (20, 30] + (75, 90]	0.02014
6 + (10, 20] + (135, 150]	0.01217	3 + (10, 20] + (120, 135]	0.01523
0 + (0, 10] + (120, 135]	0.00637	18 + (30, 40] + (30, 45]	0.01523
0 + (0, 10] + (135, 150]	0.00637	7 + (0, 10] + (120, 135]	0.01523
0 + (10, 20] + (105, 120]	0.00637	8 + (0, 10] + (150, 165]	0.01523