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Table 2 Driver demographics variables correlation analysis matrix

From: Studying driving behavior and risk perception: a road safety perspective in Egypt

Variables

1

2

3

4

5

6

7

8

9

10

Number of crashes (1)

Corr.

1

− .022

.183**

.135**

.014

− .081*

− .029

− .033

− .032

− .052

Sig.

 

.521

.000

.000

.681

.020

.399

.345

.364

.136

Trip purpose (2)

Corr.

− .022

1

− .094**

− .182**

− .379**

− .352**

− .166**

.016

.298**

− .068*

Sig.

.521

 

.007

.000

.000

.000

.000

.650

.000

.050

Number of daily trips (3)

Corr.

.183**

− .094**

1

.523**

.244**

.056

− .257**

− .207**

− .244**

− .114**

Sig.

.000

.007

 

.000

.000

.108

.000

.000

.000

.001

Number of driving hours (4)

Corr.

.135**

− .182**

.523**

1

.590**

.382**

− .276**

− .479**

− .026

.313**

Sig.

.000

.000

.000

 

.000

.000

.000

.000

.461

.000

Experience (5)

Corr.

.014

− .379**

.244**

.590**

1

.662**

− .044

− .239**

− .183**

.245**

Sig.

.681

.000

.000

.000

 

.000

.203

.000

.000

.000

Age (6)

Corr.

− .081*

− .352**

.056

.382**

.662**

1

.090*

− .186**

− .077*

.256**

Sig.

.020

.000

.108

.000

.000

 

.010

.000

.027

.000

Gender (7)

Corr.

− .029

− .166**

− .257**

− .276**

− .044

.090*

1

.327**

− .340**

− .068*

Sig.

.399

.000

.000

.000

.203

.010

 

.000

.000

.050

Education (8)

Corr.

− .033

.016

− .207**

− .479**

− .239**

− .186**

.327**

1

− .234**

− .380**

Sig.

.345

.650

.000

.000

.000

.000

.000

 

.000

.000

Who accompany the driver (9)

Corr.

− .032

.298**

− .244**

− .026

− .183**

− .077*

− .340**

− .234**

1

.192**

Sig.

.364

.000

.000

.461

.000

.027

.000

.000

 

.000

Transportation type (10)

Corr.

− .052

− .068*

− .114**

.313**

.245**

.256**

− .068*

− .380**

.192**

1

Sig.

.136

.050

.001

.000

.000

.000

.050

.000

.000