A Case Study in China to Determine Whether GPS Data and Derivative Indicator Can Be Used to Identify Risky Drivers

Table 6

Risk score obtained through factor analysis.

Driver	F1	F2	F3	Score	Driver	F1	F2	F3	Score
1	.25	-.63	-.35	-0.069	26	1.80	-1.90	-1.06	0.280
2	0.40	0.01	-0.07	0.179	27	2.29	0.12	1.12	1.245
3	0.72	-0.62	0.40	0.256	28	0.01	-0.90	-0.36	-0.241
4	-1.09	0.48	-0.85	-0.519	29	0.84	-0.03	0.13	0.406
5	0.41	-0.46	0.29	0.127	30	1.59	-0.84	0.42	0.615
6	-0.21	-0.72	-0.56	-0.333	31	-0.95	0.11	1.26	-0.247
7	0.12	1.83	0.64	0.541	32	-1.69	-1.40	0.80	-0.987
8	0.70	-0.86	-0.06	0.127	33	-0.17	0.92	1.47	0.323
9	0.59	-0.67	0.57	0.207	34	-0.31	1.26	-0.09	0.117
10	-0.45	0.56	0.28	-0.05	35	-2.00	-1.02	1.10	-1.004
11	-0.35	-0.47	-1.92	-0.53	36	-1.90	0.53	0.19	-0.745
12	0.10	1.51	0.93	0.505	37	1.08	1.76	-0.02	0.884
13	-1.24	0.31	-2.13	-0.799	38	-0.17	1.06	-1.09	0.004
14	-0.61	-0.66	-0.43	-0.485	39	-2.09	0.21	1.00	-0.792
15	0.09	-0.87	-0.82	-0.260	40	-1.74	-0.92	1.47	-0.813
16	0.53	-0.30	-0.30	0.139	41	0.43	1.86	-0.09	0.594
17	-0.84	-0.19	-1.20	-0.597	42	0.30	-0.40	-0.66	-0.037
18	0.06	0.27	0.33	0.131	43	0.03	-1.64	2.18	-0.050
19	1.74	-0.03	1.37	0.989	44	-1.50	-0.38	1.56	-0.573
20	0.33	-0.92	0.19	-0.020	45	0.84	1.37	-0.54	0.617
21	0.27	-0.46	-0.28	-0.011	46	0.04	0.56	-0.13	0.124
22	0.24	-0.98	-1.12	-0.26	47	0.49	0.83	-0.43	0.349
23	0.37	0.28	0.79	0.342	48	-0.57	1.90	0.03	0.153
24	-1.16	-0.27	-3.15	-1.027	49	1.25	-0.3	0.17	0.536
25	0.82	-1.24	-0.71	0.012	50	0.34	2.37	-0.26	0.641