A Combined Prediction Model Composed of the GM (1,1) Model and the BP Neural Network for Major Road Traffic Accidents in China

Table 1

Spatial distribution of major traffic accidents from 2008 to 2020 in China.

Province	Number			GDP/10^12 yuan	Population/10^7	Per capita GDP/10^4 yuan
	Accidents	Fatalities	Injuries
Shanghai	1	12	12	3.82	2.42	15.78
Inner Mongolia	2	35	10	1.72	2.53	6.81
Qinghai	2	21	82	0.30	0.60	4.96
Liaoning	3	57	37	2.49	4.37	5.70
Shaanxi	3	43	39	2.58	3.84	6.72
Tianjin	3	46	26	1.41	1.56	9.06
Zhejiang	3	33	47	6.24	5.66	11.02
Chongqing	3	41	42	2.36	3.05	7.74
Guangxi	4	55	94	2.12	4.89	4.35
Ningxia	4	51	67	0.37	0.68	5.50
Fujian	5	91	94	4.24	3.91	10.84
Heilongjiang	5	65	109	1.36	3.79	3.59
Jilin	5	79	84	1.17	2.72	4.32
Hubei	6	76	67	4.58	5.90	7.77
Jiangsu	6	70	126	9.96	8.03	12.41
Anhui	7	85	132	3.71	6.25	5.93
Gansu	7	116	154	8.72	2.63	3.32
Tibet	7	124	86	0.17	0.34	5.04
Guangdong	8	116	142	10.77	11.17	9.64
Shandong	8	125	80	7.11	10.01	7.10
Xinjiang	8	112	199	1.36	2.44	0.56
Shanxi	9	138	146	1.70	3.70	4.60
Sichuan	9	133	43	5.67	8.30	6.82
Jiangxi	10	137	116	2.48	4.62	5.36
Henan	12	236	199	5.43	9.56	5.68
Guizhou	13	217	197	1.68	3.58	4.68
Hebei	14	240	36	3.51	7.52	4.67
Hunan	14	234	220	3.98	6.86	5.79
Yunnan	17	239	139	2.32	4.80	4.84