A Data Mining Approach on Lorry Drivers Overloading in Tehran Urban Roads

Table 5

The results of logistic regression analysis.

Variable	Category	Reference category	Model coefficient	Standard deviation error	Sig	Odds ratio	95% confidence interval for EXP (B)
							Lower bound	Upper bound
Constant			−9.73	2.508	0.000
Truck tonnage capacity	TC1	TC4	5.036	2.073	0.015	15.25	5.031	46.07
	TC2		7.901	1.768	0.000	26.99	14.74	49.42
	TC3		5.53	1.315	0.000	25.4	2.92	220.8
Lorry type	LT1	LT4	−1.856	0.958	0.053	0.156	0.032	0.755
	LT2		−0.913	0.948	0.335	0.401	0.084	1.907
Packing type	PT1	PT3	4.078	1.183	0.001	59.02	8.43	413.18
	PT2		4.023	1.176	0.001	55.86	8.07	386.62
Load type	LOT1	LOT5	1.49	0.483	0.002	4.439	2	9.83
	LOT2		2.31	0.472	0.000	10.16	4.675	22.10
	LOT3		0.543	0.499	0.0277	1.721	0.757	3.915
	LOT4		1.24	0.395	0.003	3.47	1.815	6.654
Traffic type section	TS1	TS4	0.031	0.349	0.93	1.031	0.581	1.83
	TS2		−1.404	0.554	0.011	0.246	0.099	0.611
	TS3		−0.289	0.393	0.462	0.749	0.392	1.429
Holiday status	HS1	HS2	−2.183	0.762	0.000	0.056	0.016	0.198