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Table 1 Loading value of the features loaded in the six major components

From: Hidden patterns among the fatally injured pedestrians in an Iranian population: application of categorical principal component analysis (CATPCA)

Features Comp1 (demographic and socioeconomic characteristic) Comp2 (injury) Comp3 (severity of the accident) Comp4 (knowledge and observance of the traffic rules) Comp5 (medical relief) Comp6 (environmental conditions)
Age group 0.944 0.060 0.054 −0.027 − 0.089 0.073
Marital status 0.910 0.056 0.025 −0.139 −0.065 0.098
Pedestrian occupation 0.879 0.012 0.079 0.074 −0.027 0.031
Injured organs 0.046 0.908 0.010 0.008 −0.062 − 0.008
The leading cause of death 0.054 0.906 −0.062 0.012 0.058 −0.002
Type of vehicle involved 0.106 −0.127 0.802 0.003 0.066 −0.030
location of the death 0.001 0.109 0.675 0.021 −0.389 0.015
Education −0.098 0.016 −0.081 - 0.770 −0.194 0.185
Gender −0.161 0.036 −0.073 0.675 −0.217 0.144
Location of accident occurrence −0.081 0.009 −0.194 −0.063 0.800 −0.035
Transmission of the injured −0.338 0.008 0.170 0.301 0.418 0.138
Season of the accident occurrence 0.105 0.003 −0.188 0.168 −0.199 0.756
Darkness 0.078 −0.018 0.204 −0.234 0.267 0.710
  1. Rotation Method: Varimax with Kaiser Normalization