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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%