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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