Research Article

Exploring Driver Injury Severity in Single-Vehicle Crashes under Foggy Weather and Clear Weather

Table 4

Model estimation results of SVCF.

VariableDescriptionSlight injurySFI
MeanS.E.z-valueMeanS.E.z-value

Driver characteristics
GenderMale−0.9480.176−5.39−1.1320.255−4.44
Std. dev.0.8810.120
Age<30−0.4760.158−3.01
Std. dev.1.100.106
>601.1000.1955.641.8340.2258.15
Seat belt usedNot used0.2620.1092.401.0170.1347.59
Alcohol-impairedYes0.6190.1294.802.4070.14017.19
CareerFarmer0.4870.2302.12
Driving licenseWith license−0.5380.183−2.94

Vehicle characteristics
Vehicle typeMotorcycle2.8840.11525.083.2890.17918.37
Pickup−0.7210.167−4.32−0.9830.277−3.55
Truck−0.6190.194−3.19
Std. dev.0.6500.116

Road characteristics
Road surfaceNon-dry−0.5930.187−3.17
Traffic controlsSignal control0.5430.2062.640.6030.2892.09

Other characteristics
AreaRural0.2340.1082.17
Time of accident07 : 00–09 : 00−0.5930.210−2.82
20 : 00–24 : 000.3880.1372.830.5810.1863.12
00 : 00–07 : 000.2920.1452.011.0750.1875.75
Crash typeFixed object1.6090.1978.173.0530.20614.82
Pedestrian−1.7180.12913.32−2.3580.218−10.82
Intercept−1.8310.266−6.89−3.4800.346−10.06
Likelihood ratioχ2(48) = 3228.21;
McFadden pseudo R20.348
Sample size5138

Note: ∗∗ and indicate that variables are significant at 1% and 5% significance levels, respectively; S.E. means the standard error; – means this variable is not significant in the model.