Research Article

An Analysis of the Effects of Crash Factors and Precrash Actions on Side Impact Crashes at Unsignalized Intersections

Table 9

Behavioral pathway analysis of T-junctions with direct and indirect marginal effects.

Variable (X)Direct ME on Y2 for Y1 RSS (%) for Y1 FYSS (%) for Y1 FYT (%)ME on Y1 RSSME on Y1 FYSSME on Y1 FYT for Y2 (%)ME of Y1 RSS on Y2 (%)ME of Y1 FYSS on Y2 (%)ME of Y1 FYT on Y2 (%)Indirect ME on Y2 through RSS (%)Indirect ME on Y2 through FYSSIndirect ME on Y2 through FYT (%)Total ME on Y2

UrbanYes−9.14%54.034.06%25.5219.074.095.370.003.41%0.00−5.73%

Crash location (base: other crash locations)Open country4.44%14.421.46%25.5219.074.095.370.000.00%1.225.66%
Residential area25.5219.074.095.370.000.00%0.000.00%
Shopping center49.2014.423.00%3.32%25.5219.074.095.370.002.90%1.804.70%
Roadway conditionDry5.2616.60%25.5219.074.095.370.000.00%5.415.41%
Wet5.262.36%25.5219.074.095.370.000.00%1.011.01%

Lighting conditionDaylight−3.97%25.5219.074.095.370.000.00%0.00−3.97%
Dark without lighting25.5219.074.095.370.000.00%0.000.00%
Dark with lighting25.5219.074.095.370.000.00%0.000.00%

Roadway geometry (base: curved roadway)Straight level road4.0053.163.66%11.82%25.5219.074.095.372.395.67%0.008.07%
Straight road with grade4.0053.161.11%2.56%25.5219.074.095.371.262.93%0.004.19%

Turn lane presentYes3.68%5.1455.48−0.01%−1.90%25.5219.074.095.370.971.71%0.006.36%
No functioning traffic controlYes5.3267.44−1.04%−11.45%25.5219.074.095.370.55-0.63%0.00−0.08%
At-fault driver_speedingYes20.94%53.0918.23−0.31%3.02%25.5219.074.095.370.002.08%1.9124.93%
At-fault driver_DUIYes21.03%4.0352.7218.06−0.07%−0.40%2.36%25.5219.074.095.370.742.04%1.7025.51%
GenderMale−4.93%18.19−0.20%25.5219.074.095.370.000.00%0.91−4.01%

At-fault driver age21 years old or younger−3.59%25.5219.074.095.370.000.00%0.00−3.59%
22∼31 years old−3.64%55.9420.21−1.17%−0.49%25.5219.074.095.370.001.94%0.93−0.77%
32∼41 years old55.9420.21−1.00%−0.49%25.5219.074.095.370.001.99%0.932.93%
42∼51 years old55.94−0.58%25.5219.074.095.370.002.12%0.002.12%
52∼61 years old−3.36%55.9420.21−0.71%−0.45%25.5219.074.095.370.002.08%0.95−0.34%
62∼71 years old55.94−0.33%25.5219.074.095.370.002.19%0.002.19%

Point of impactFront passenger side−3.96%4.2814.170.32%−0.33%25.5219.074.095.370.960.00%0.66−2.34%
Back passenger side−10.59%14.17−0.29%25.5219.074.095.370.000.00%0.67−9.92%
Bumper20.19%14.175.55%25.5219.074.095.370.000.00%2.4722.66%
Driver door25.5219.074.095.370.000.00%0.000.00%
Passenger side behind the driver−16.01%25.5219.074.095.370.000.00%0.00−16.01%

Causal vehicle typePassenger car−8.64%48.321.82%25.5219.074.095.370.002.52%0.00−6.12%
Pickup−10.57%25.5219.074.095.370.000.00%0.00−10.57%
SUV−9.67%25.5219.074.095.370.000.00%0.00−9.67%

Noncausal vehicle typePassenger car−11.83%5.59−0.63%25.5219.074.095.370.790.00%0.00−11.04%
Pickup−14.93%25.5219.074.095.370.000.00%0.00−14.93%
SUV−11.30%5.59−0.23%25.5219.074.095.370.960.00%0.00−10.34%

Notes: Y2 is the KABC injury; Y1 is one of “ran stop sign (RSS),” “failed to yield at stop sign (FYSS),” or “failed to yield at turn (FYT)”; is the probability of Y1 when contributing factor X is at the base; is the probability of KABC injury when precrash behavior Y1 is at the base (i.e., “other behaviors”); ; ; some cells are empty due to the insignificant estimates ( value >0.1) from the models.