Research Article
A Joint Modeling Analysis of Passengers’ Intercity Travel Destination and Mode Choices in Yangtze River Delta Megaregion of China
Table 5
Model estimation results by trip purpose.
| Model variables | Trip purpose | Work-related | Personal | All | Coeff. | -test | Coeff. | -test | Coeff. | -test |
| Mode choice model | | Constant in auto utility | −1.4589 | −2.27 | −1.4134 | −3.63 | 0.6343 | 2.67 | Travel time (min) | −0.0114 | −2.70 | −0.0097 | −3.18 | −0.0100 | −4.27 | Being female in auto utility | −0.7871 | −2.31 | — | — | — | — | Owning private car in auto utility | 1.1053 | 3.79 | 1.1135 | 5.80 | — | — | Being licensed in auto utility | 0.7177 | 1.99 | 1.3036 | 6.53 | — | — | Constant in high-speed rail utility | −2.3757 | −3.44 | −2.2705 | −5.32 | −1.4146 | −4.93 | Constant in regular rail utility | −3.3961 | −4.84 | −2.2973 | −5.67 | −1.8130 | −6.46 | Bus fare (Yuan) in bus utility | −0.0201 | −2.41 | −0.0150 | −2.51 | −0.0144 | −3.33 | Household annual income (thousand Yuan) in bus utility | −0.0117 | −3.06 | −0.0120 | −3.68 | — | — |
| Destination choice model | | (the nesting coefficient) | 0.4286 | 3.95 | 0.8969 | 9.27 | 0.7889 | 11.06 | GDP per capita (×104 Yuan) | 0.1706 | 5.04 | — | — | 0.0704 | 2.27 | City area (km2) | 0.00013 | 9.04 | 0.00013 | 12.14 | 0.00013 | 13.82 | The number of 5A tourist attractions | — | — | 0.2146 | 7.71 | 0.1153 | 2.82 | Employment in the service sector/total employment | 5.3882 | 5.31 | 6.0637 | 7.91 | 5.5128 | 8.75 | City population density (×104 persons/km2) | 7.4286 | 8.85 | 3.9607 | 6.26 | 5.4991 | 9.97 |
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