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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