Prediction for Traffic Accident Severity: Comparing the Bayesian Network and Regression Models

Table 5

Estimation results of the Regression models.

Variables	Fatality forecasting model		Injury forecasting model		Property damage forecasting model
	Coef.	𝑍-stat.	Coef.	𝑍-stat.	Coef.	𝑍-stat.
Constant	−2.57	−12.53
Mi	0.44	3.36	−0.14	−2.50	−0.09	−1.85
Bi	1.11	8.82	−0.30	−4.99
Wc	−0.27	−1.66	0.23	2.70	−0.12	−1.85
Tod	−0.44	−4.03			−0.15	−3.29
Vd					0.10	4.88
Pc			−0.38	−5.24
Tsc	0.22	2.06	−0.07	−1.57	0.11	2.76
L-Mvl			−0.08	−1.57
L-C	−0.52	−1.39			−0.40	−3.51
L-Rrs	0.73	5.98			0.72	4.07
L-I			0.23	4.94	0.20	1.10
𝛼1			−1.50		0.80
𝛼2			1.47		2.77
MAPE	0.0530		0.0415		0.0698
Hit ratio (%)	84.65		80.20		60.23