Predicting Wet-Road Crashes Using the Finite-Mixture Zero-Truncated Negative Binomial Model

Table 2

Estimating results of the ZTNB model.

Variable	Estimate	Std. err.	value	Significant level
Intercept,	−3.638	1.698	—	Not significant
Log (ADT),	0.770	0.169	<0.001	99.9%
Lane width,	−0.100	0.159	0.530	Not significant
Ave. out. SHD,	−0.158	0.082	0.054	90.0%
Ave. in. SHD,	−0.310	0.080	<0.001	99.9%
Median width,	−0.373	0.034	<0.001	99.9%
Disp. par., α	1.615	5.465	0.409	Not significant
AIC	1142.29	—	—	—
BIC	1170.14	—	—	—
MAE	0.64	—	—	—
RMSE	2.52	—	—	—

Note. Std. err. = standard error. Disp. par. = dispersion parameter. Bold and underline values indicate statistically significant at 90.0% or higher. — means not applicable.