Research Article
Modeling and Analysis of Ticketing Channel Choice for Intercity Bus Passengers: A Case Study in Beijing, China
Table 6
Effects on latent variables dependent upon demographic characteristics.
| Channels | Latent Variables | Age | Gender | Occupation | Income | Education |
| Counters | | 0.119 | 0.022 | −0.035 | −0.098 | −0.008 | (1.78) | (−0.45) | (−0.50) | (−1.19) | (−0.78) | | 0.055 | −0.040 | −0.039 | 0.012 | −0.009 | (0.87) | (−0.91) | (0.86) | (1.32) | (−1.11) | | 0.018 | 0.037 | 0.010 | 0.056 | 0.002 | (1.18) | (−0.64) | (0.75) | (1.75) | (−0.08) |
| Ticketing agencies | | 0.005 | 0.112 | 0.014 | 0.024 | 0.022 | (−0.65) | (−1.33) | (1.44) | (0.80) | (−0.99) | | 0.020 | −0.067 | 0.068 | 0.085 | −0.131 | (−1.1) | (0.58) | (2.06) | (1.11) | (−1.21) | | 0.018 | −0.098 | −0.049 | 0.005 | 0.074 | (1.04) | (0.61) | (−1.27) | (0.59) | (1.30) |
| Websites | | 0.014 | −0.152 | 0.017 | −0.121 | 0.038 | (1.85) | (−0.38) | (1.40) | (1.22) | (0.56) | | 0.017 | −0.045 | −0.068 | −0.024 | 0.044 | (−2.02) | (−1.29) | (1.88) | (−0.66) | (1.35) | | 0.045 | 0.004 | 0.049 | 0.083 | 0.029 | (1.49) | (0.99) | (1.41) | (−0.92) | (1.92) |
| Apps | | 0.101 | 0.005 | 0.014 | 0.005 | 0.007 | (0.81) | (−0.97) | (1.05) | (−1.11) | (1.20) | | −0.222 | 0.051 | −0.028 | 0.068 | 0.145 | (−2.88) | (0.86) | (−0.58) | (2.51) | (4.90) | | −0.018 | −0.001 | 0.025 | 0.092 | 0.127 | (1.69) | (1.40) | (0.36) | (−1.43) | (−3.33) |
| Tvms | | −0.083 | 0.016 | 0.009 | −0.004 | 0.014 | (−1.81) | (−0.39) | (−0.99) | (0.81) | (1.30) | | −0.132 | −0.031 | −0.014 | 0.108 | 0.069 | (−3.85) | (−0.49) | (0.44) | (3.14) | (−1.17) | | 0.024 | 0.004 | 0.105 | 0.046 | 0.087 | (1.59) | (1.09) | (−0.76) | (−1.43) | (5.59) |
|
|
Notes: means p < 0.05; means p < 0.01. |