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Table 4 Result of the PCA of intermodal variables. Correlation coefficients describe the correlation between variable and corresponding dimension

From: Developing a user typology considering unimodal and intermodal mobility behavior: a cluster analysis approach using survey data

Variable Correlation coefficient p-value
Dimension 1
 Leisure-inter 0.8154 0
 Private-inter 0.7923 0
 Shopping-inter 0.7726 0
 GoodsTrans-inter 0.6442 0
 PersTrans-inter 0.6313 0
 PT-PT 0.6092 0
 Work-rel-inter 0.5491 0
 R-PT 0.5115 0
 C-PT 0.2648 0
 C-B-PT 0.2041 0
 C-R 0.068 0.0264
Dimension 2
 C-PT 0.5065 0
 C-R 0.4717 0
 C-B-PT 0.371 0
 GoodsTrans-inter 0.3591 0
 PersTrans-inter 0.2608 0
 Shopping-inter 0.1723 0
 Private-inter 0.1175 1e-04
 Leisure-inter −0.1096 3e-04
 R-PT −0.143 0
 Work-rel-inter −0.1621 0
 Work-inter −0.475 0
 PT-PT −0.5177 0
Dimension 3
 C-B-PT 0.6855 0
 C-R 0.4431 0
 Work-rel-inter 0.4102 0
 Work-inter 0.3037 0
 R-PT 0.0834 0.0065
 PersTrans-inter −0.066 0.0311
 Private-inter −0.2521 0
 Shopping-inter −0.2899 0
 C-PT −0.317 0