Research Article

The Roles of Car Following and Lane Changing Drivers’ Anticipations during Vehicle Inserting Process: A Structural Equation Model Approach

Table 5

Estimated SEM in the anticipating period.

Structural model

Latent variable() Exogenous variableC.S.C.S.E.

2.5850.1890.025
-9.006-0.1370.032
8.9080.9670.010

0.8290.1640.030
-3.822-0.1640.059
-4.526-0.1860.066
3.0220.8970.040
0.7800.2320.114

0.0760.1460.057
1.1070.1360.051
-0.314-0.0370.067
0.8480.6230.244
-0.415-0.3200.213

0.5960.1490.065
0.4470.0060.001
-13.668-0.9850.009

Measurement model

Exogenous observed variable() Latent variableC.S.C.S.E.

11.8730.9640.003
10.4750.040

10.2210.022
0.8030.3120.081

-10.168-0.9570.003
10.7660.040

10.0610.007
0.5750.2860.106

4.1760.7650.023
10.3370.045

10.0740.004
1.6460.7230.027

Measurement model

Endogenous observed variable() Latent variableC.S.C.S.E.

10.9560.011
-0.058-0.5200.069

10.9160.012
0.1400.3210.085

2.5390.8050.128
10.8010.083

10.8190.039
-0.122-0.9000.015

Note: (1) C.: coefficient, S.C.: standard coefficient, S.E.: standard error.
(2) “”: the coefficient is significant at 95% confidence level.
(3) “”: the path direction shown in Figure 4(a).