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Table 5 PCA pattern matrix and exploratory factor analysis (EFA)

From: Travelers’ attitude towards carpooling in Islamabad

Latent construct

Items

Factor loading

Loadings mean

Variance explained (%)

Communalities

Socioeconomic and environmental benefits

B3

.968

.843

32.551

0.853

B4

.933

0.834

B1

.903

0.836

B5

.872

0.846

B6

.785

0.696

B7

.727

0.701

B2

.711

0.617

Constraints for carpooling

C5

.901

.803

12.486

0.757

C4

.857

0.752

C2

.837

0.724

C1

.749

0.66

C3

.670

0.636

Partner’s acquaintance

Aq3

.928

.875

9.100

0.868

Aq4

.888

0.794

Aq1

.848

0.765

Aq2

.834

0.694

Intention to shift to carpooling service

I4

.853

.724

8.245

0.732

I5

.766

0.69

I6

.754

0.577

I2

.524

0.409

Stranger partner

S4

.878

.832

5.258

0.704

S2

.817

0.794

S1

.801

0.759

Motives for carpooling

M7

.806

.713

4.036

0.697

M4

.735

0.594

M2

.681

0.662

M5

.631

0.701

Cumulative variance explained

71.675%