Research Article
Integrated Model of Joint Residence-Workplace Location Choice and Commute Behavior Using Latent Class and Mixed Logit Methods
Table 4
Estimation results of the LCM.
| Latent class | 1 | 2 | 3 | 4 | Variable values |
| Residence location | | | | | | 1 | 0.057 | 0.477 | 0.018 | 0.000 | Xicheng | 2 | 0.052 | 0.486 | 0.140 | 0.000 | Dongcheng | 3 | 0.001 | 0.000 | 0.019 | 0.131 | Chongwen | 4 | 0.004 | 0.018 | 0.000 | 0.079 | Xuanwu | 5 | 0.411 | 0.002 | 0.000 | 0.000 | Haidian | 6 | 0.364 | 0.005 | 0.821 | 0.001 | Chaoyang | 7 | 0.051 | 0.004 | 0.002 | 0.480 | Fengtai | 8 | 0.060 | 0.008 | 0.000 | 0.309 | Shijingshan | Workplace | | | | | | 1 | 0.092 | 0.218 | 0.000 | 0.024 | Xicheng | 2 | 0.092 | 0.225 | 0.205 | 0.004 | Dongcheng | 3 | 0.015 | 0.014 | 0.011 | 0.094 | Chongwen | 4 | 0.016 | 0.037 | 0.000 | 0.106 | Xuanwu | 5 | 0.306 | 0.167 | 0.000 | 0.002 | Haidian | 6 | 0.440 | 0.278 | 0.784 | 0.000 | Chaoyang | 7 | 0.030 | 0.048 | 0.000 | 0.469 | Fengtai | 8 | 0.009 | 0.013 | 0.000 | 0.301 | Shijingshan | Commute distance | | | | | | 1 | 0.215 | 0.083 | 0.377 | 0.332 | <4 | 2 | 0.338 | 0.406 | 0.500 | 0.523 | 4–8 | 3 | 0.158 | 0.256 | 0.086 | 0.111 | 8–12 | 4 | 0.138 | 0.125 | 0.023 | 0.012 | 12–16 | 5 | 0.070 | 0.068 | 0.014 | 0.017 | 16–20 | 6 | 0.081 | 0.062 | 0.000 | 0.005 | >20 | Commute mode | | | | | | 1 | 0.097 | 0.031 | 0.198 | 0.133 | Walk | 2 | 0.307 | 0.214 | 0.439 | 0.524 | Bicycle | 3 | 0.235 | 0.286 | 0.165 | 0.114 | Bus | 4 | 0.061 | 0.063 | 0.000 | 0.000 | Subway | 5 | 0.300 | 0.406 | 0.199 | 0.229 | Car | Household monthly income | | | | | | 1 | 0.156 | 0.068 | 0.158 | 0.308 | <2500 | 2 | 0.250 | 0.198 | 0.269 | 0.330 | 2501–3500 | 3 | 0.313 | 0.406 | 0.269 | 0.341 | 3501–5500 | 4 | 0.281 | 0.328 | 0.305 | 0.021 | >5500 |
| Latent class probability | 47.55% | 11.00% | 21.30% | 20.15% | |
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