Crash Prediction and Risk Evaluation Based on Traffic Analysis Zones

Table 3

Estimation results of the original regression model.

Parameter	Estimate coefficient	Std. error	95% Wald confidence interval		Hypothesis test
			Lower	Upper	Wald chi-square	df	𝑃 value
(Intercept)	3.179	1.075	1.071	5.286	8.736	1	.003
LENGTH	.033	.0087	.016	.050	14.248	1	<.0001
ADT	.002	.0004	.002	.003	45.815	1	<.0001
FFS	−.027	.0057	−.038	−.016	22.487	1	<.0001
VMT	3.291𝐸−06	1.2109𝐸−06	9.175𝐸−07	5.664𝐸−06	7.386	1	.007
LANE_2	−.271	1.0288	−2.287	1.745	.069	1	.792
LANE_3	.269	1.0269	−1.743	2.282	.069	1	.793
LANE_4	.429	1.0274	−1.585	2.443	.174	1	.676
LANE_5	.328	1.0374	−1.705	2.362	.100	1	.752
LANE_6	0*
LOWMID	1.107	.4010	.321	1.893	7.621	1	.006
MID	−.508	.4799	−1.448	.433	1.119	1	.290
MIDHIGH	−.208	.3775	−.948	.532	.304	1	.581
HIGH	−.145	.3994	−.928	.638	.132	1	.716
RETAIL	.858	.2440	.380	1.337	12.373	1	.000
TOTALSERVI	.154	.1809	−.201	.508	.721	1	.396
EMENROLL	.118	.1370	−.150	.387	.743	1	.389
HSENROLL	.243	.1486	−.048	.535	2.682	1	.101
COLLENROLL	−.048	.0980	−.240	.144	.237	1	.627
POP	.326	.0589	.210	.441	30.621	1	<.0001
AREA	−.002	.0045	−.011	.007	.189	1	.664
1/𝛼	.964	.0514	.868	1.070

∗Reference category.