Influence of Environmental Factors on Injury Severity Using Ordered Logit Regression Model in Limpopo Province, South Africa

Table 3

The ordered logit regression for associations between severity and related environmental factors in Limpopo Province, South Africa.

Variable	Response	Odds (95% CI)	t-value	value
Intercept	Property damage	Reference
	Minor injury	0.7204 (0.2237; 1.2170)	−1.2938	0.1957
	Serious injury	2.8134 (2.3142; 3.3126)	4.0612	<0.0001
	Deaths	20.547 (20.006; 21.0876)	10.9534	<0.0001
Environmental condition	Animal in roadway	Reference
	Deposit on road	1.4450 (0.6345; 3.2853)	0.8824	0.3775
	Poor or defective road surface	0.8679 (0.5089; 1.4664)	−0.5261	0.5987
	Potholes	2.5884 (1.2672; 5.3239)	2.6083	0.0090
	Rain	0.7898 (0.5252; 1.1821)	−1.1414	0.2536
	Slippery road	1.2668 (0.6690; 2.3845)	0.7323	0.4639
	Stationary or parked vehicle	1.9667 (0.9932; 3.8907)	1.9473	0.0514
Hour interval	00–05 hours	Reference
	06–13 hours	0.6872 (0.4635; 1.0178)	−1.8698	0.0615
	14–23 hours	0.6737 (0.4999; 0.9084)	−2.5936	0.0094
Season	Autumn	Reference
	Spring	1.0267 (0.7956; 1.3250)	0.2029	0.8391
	Summer	1.1466 (0.8649; 1.5197)	0.9522	0.3409
	Winter	0.9667 (0.7311; 1.2774)	−0.2375	0.8122
Road type	District	Reference
	National	1.2356 (0.7690; 1.9885)	0.8734	0.3823
	Others	0.9559 (0.6049; 1.5123)	−0.1929	0.8470
	Provincial	0.3038 (0.1215; 0.7226)	−2.6386	0.0083
	Regional	1.0324 (0.7080; 1.5099)	0.1655	0.8684
Regional distribution	Capricorn district	Reference
	Mopani district	1.5442 (1.2080; 1.9744)	3.4685	<0.0001
	Sekhukhune district	2.9979 (1.9280; 4.6739)	4.8665	<0.0001
	Vhembe district	2.0304 (1.3236; 3.1152)	3.2472	0.0017
	Waterberg district	1.6434 (1.2160; 2.2208)	3.2356	0.0012

value: significant at 0.05.