[Retracted] An Empirical Research on the Impact of Passenger Consumption Characteristics on the Supporting Commercial Facilities of Rail Transit Integrated Transfer Hubs: Taking Beijing and Tianjin as an Example
Table 6
Parameter estimation.
Estimation
Standard error
Wald
df
Significance
95% confidence interval
Lower limit
Upper limit
Threshold
[Consumption amount = 1]
−0.922
0.347
7.038
1
0.008
−1.603
−0.241
[Consumption amount = 2]
1.078
0.348
9.581
1
0.002
0.395
1.760
[Consumption amount = 3]
2.741
0.363
56.894
1
0.000
2.028
3.453
[Consumption amount = 4]
3.848
0.398
93.699
1
0.000
3.069
4.628
Location
[Waiting time = 1]
−0.904
0.491
3.389
1
0.066
−1.867
0.058
[Waiting time = 2]
0.482
0.371
1.683
1
0.195
−0.246
1.210
[Waiting time = 3]
0.513
0.358
2.053
1
0.152
−0.189
1.214
[Waiting time = 4]
0.396
0.373
1.128
1
0.288
−0.335
1.127
[Waiting time = 5]
0a
.
.
0
.
.
.
Link function: logit. According to the above parameter estimation, the regression equation can be obtained.
