Research Article

Multiclass Classification by Various Machine Learning Algorithms and Interpretation of the Risk Factors of Pedestrian Accidents Using Explainable AI

Table 1

Descriptive statistics of all variables used for analysis.

VariableProportion (%)Minor injury (%)Serious injury (%)Fatal injury (%)

Injury severity10057.437.05.5

Region
Seoul
Seoul (1)18.68.49.70.5
Otherwise (0)81.428.647.85.0
Metropolitan
Metropolitan (1)27.110.416.20.4
Otherwise (0)72.926.641.25.1
Gyeonggi
Gyeonggi (1)17.66.310.41.0
Otherwise (0)82.430.847.14.5
Gangwon
Gangwon (1)4.11.52.20.3
Otherwise (0)95.935.555.35.1
Chungcheong
Chungcheong (1)7.92.24.11.6
Otherwise (0)92.134.856.43.9
Jeolla
Jeolla (1)9.23.44.71.1
Otherwise (0)90.833.652.84.4
Gyeongsang
Gyeongsang (1)13.33.99.00.4
Otherwise (0)86.733.148.55.1
Jeju
Jeju (1)2.20.91.20.1
Otherwise (0)97.836.156.65.4

Driver gender
D_Male
D_Male (1)82.330.047.35.0
Otherwise (0)47.77.010.00.5
D_Female
D_Female (1)17.77.010.00.5
Otherwise (0)82.330.047.35.0

Driver age
D25
D25 (1)20.93.113.14.6
Otherwise (0)79.133.944.40.9
D25∼60
D25∼60 (1)66.224.740.70.8
Otherwise (0)33.812.316.84.7
D60
D60 (1)12.99.23.70.07
Otherwise (0)87.127.853.85.4
Drunk driver
Drunk (1)7.12.73.50.8
Otherwise (0)92.934.353.94.6

Pedestrian gender
Male (1)53.121.029.13.0
Otherwise (0)46.916.028.42.5
Female (1)46.916.028.42.5
Otherwise (0)53.121.029.13.0

Pedestrian age
P25
P25 (1)34.616.217.80.6
Otherwise (0)65.420.839.74.9
P25∼65
P25∼65 (1)45.216.926.12.2
Otherwise (0)54.820.131.43.3
P65
P65 (1)20.33.913.72.7
Otherwise (0)79.733.143.82.8
Time
Day (1)52.720.531.30.8
Otherwise (0)47.316.526.24.7
Night (1)47.316.526.24.7
Otherwise (0)52.720.531.30.8

Accident location
Acc1
Ect (1)15.16.38.00.7
Otherwise (0)84.930.749.44.8
Acc2
Road edge (1)9.84.54.80.4
Otherwise (0)9.032.552.75.0
Acc3
Sidewalk (1)5.72.43.10.1
Otherwise (0)94.334.654.45.3
Acc4
Driveway (1)13.95.67.50.7
Otherwise (0)86.131.450.04.7
Acc5
Crosswalk (1)55.518.234.03.3
Otherwise (0)44.518.823.52.2
Car type
Motorcycle (1)9.34.25.00.1
Otherwise (0)90.732.852.55.4
Small (1)69.426.340.03.0
Otherwise (0)30.610.717.42.5
Medium (1)15.44.89.21.4
Otherwise (0)84.632.248.34.1
Large (1)5.91.73.20.9
Otherwise (0)94.135.354.24.6
Road type
Freeway (1)1.10.030.20.8
Otherwise (0)98.936.957.24.7
National road (1)12.43.27.31.8
Otherwise (0)87.633.850.13.7
Metropolitan road (1)71.127.841.61.8
Otherwise (0)28.99.315.93.7
Local road (1)15.46.18.30.9
Otherwise (0)84.630.949.24.5

Number of lane
Lane_1
Lane_1 (1)58.223.232.42.7
Otherwise (0)41.813.925.12.8
Lane_2
Lane_2 (1)23.17.813.71.6
Otherwise (0)76.929.243.83.9
Lane_3
Lane_3 (1)9.03.15.40.5
Otherwise (0)90.934.052.04.9
Lane_4
Lane_4 (1)9.63.06.00.6
Otherwise (0)90.334.051.54.9
Road width
∼6 m (1)26.39.315.51.5
Otherwise (0)73.727.742.04.0
6∼13 m (1)15.94.99.81.1
Otherwise (0)84.132.147.64.3
13 m∼ (1)57.822.832.12.9
Otherwise (0)42.214.225.42.6
Season
Spring (1)26.010.014.81.3
Otherwise (0)74.027.042.74.2
Summer (1)24.79.314.31.1
Otherwise (0)75.327.843.24.4
Fall (1)27.610.115.81.8
Otherwise (0)72.426.941.73.8
Winter (1)21.77.712.71.4
Otherwise (0)78.329.444.84.1
Weather
Clear (1)83.832.347.83.7
Otherwise (0)16.24.79.71.8
Cloudy (1)5.71.93.40.3
Otherwise (0)94.335.154.15.1
Foggy, rainy, snowy (1)10.52.86.31.4
Otherwise (0)89.534.251.24.1