Mass Rapid Transit Ridership Forecast Based on Direct Ridership Models: A Case Study in Wuhan, China
Table 6
Results of the PCR. Dependent variable: Ridershipa.
Independent variables
B
Std. error
Beta
t-statistic
Sig.
VIF
(Constant)
16650.298
476.101
34.972
0.000
Component 1
6744.863
520.778
0.543
12.952
0.000
1.008
Component 2
4397.415
479.999
0.383
9.161
0.000
1.004
Component 3
6969.519
475.314
0.612
14.663
0.000
1.000
Component 4
2937.604
482.842
0.255
6.084
0.000
1.006
Degree of freedom (df): 68
F = 126.988 (sig = 0.000)
R: 930
R2: 0.885
Adjusted R2: 0.878
aOne station with a standardized residual greater than 4 is eliminated. B denotes the final coefficient in the regression function. Beta denotes the standardized coefficient in the regression function.