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

Table 2

Frequency analysis of road accidents characteristics by property damage, death, and severe injuries.

Response	Property damage	Minor injury	Serious injury	Deaths	trend
Environmental condition					<0.001
Animal in roadway	484 (81.90%)	366 (82.99%)	249 (78.80%)	48 (64.86%)
Deposit on road	8 (1.35%)	5 (1.13%)	6 (1.90%)	4 (5.41%)
Poor or defective road surface	21 (3.55%)	18 (4.08%)	10 (3.16)	2 (2.70%)
Potholes	4 (0.68%)	9 (2.04%)	9 (2.85%)	3 (4.05%)
Rain	48 (8.12%)	27 (6.12%)	23 (7.28%)	6 (8.11%)
Slippery road	12 (2.03%)	12 (2.72%)	8 (2.53%)	3 (4.05%)
Stationary or parked vehicle	14 (2.37%)	4 (0.91%)	11 (3.48%)	8 (10.81%)
Hour interval					0.003
00–05 hours	65 (11.00%)	50 (11.34%)	50 (15.82%)	16 (21.62%)
06–13 hours	79 (13.37%)	62 (14.06%)	34 (10.76%)	17 (22.97%)
14–23 hours	447 (75.63%)	329 (74.60%)	232 (73.42%)	41 (55.41%)
Season					<0.001
Autumn	177 (29.95%)	138 (31.29%)	100 (31.65%)	16 (21.62%)
Spring	162 (27.41%)	135 (30.61%)	83 (26.27%)	19 (25.68%)
Summer	114 (19.29%)	84 (19.05%)	73 (23.10%)	17 (22.97%)
Winter	138 (23.35%)	84 (19.05%)	60 (18.99%)	22 (29.73%)
Road type					<0.001
District	44 (7.45%)	41 (9.30%)	29 (9.18%)	6 (8.11%)
National	73 (12.35%)	53 (12.02%)	51 (16.14%)	17 (22.97%)
Others	79 (13.37%)	54 (12.24%)	31 (9.81%)	11 (14.86%)
Provincial	14 (2.37%)	8 (1.81%)	1 (0.32%)	1 (1.35%)
Regional	381 (64.47%)	285 (64.63%)	204 (64.56%)	39 (52.70%)
Regional distribution					<0.001
Capricorn district	311 (52.62%)	195 (44.22%)	125 (39.56%)	15 (20.27%)
Mopani district	129 (21.83%)	127 (28.80%)	84 (26.58%)	15 (20.27%)
Sekhukhune district	23 (3.89%)	23 (5.22%)	23 (7.28%)	14 (18.92%)
Vhembe district	52 (8.80%)	31 (7.03%)	31 (9.81%)	12 (16.22%)
Waterberg district	76 (12.86%)	65 (14.74%)	53 (16.77%)	18 (24.32%)