Table 3. Multiple regression of inflow commuters.
| Variables | Commuting time (log) | Commuting distance (log) | ||
|---|---|---|---|---|
| Coef. | std. Error | Coef. | std. Error | |
| (Intercept) | 3.626 *** | 0.120 | 2.538 *** | 0.164 |
| Type of new towns: Pangyo Technopole Newtown | - | - | - | - |
| Wirye Residential Newtown | -0.260 *** | 0.045 | -0.367 *** | 0.061 |
| Gimpo Residential Newtown | -0.094 * | 0.048 | -0.159 ** | 0.066 |
| Mode of transportation: Private car | - | - | - | - |
| Public transit | 0.540 *** | 0.037 | -0.168 *** | 0.050 |
| Walking and cycling | -0.009 | 0.063 | -0.570 *** | 0.085 |
| Others | -0.046 | 0.150 | 0.165 | 0.204 |
| Access time to bus stop (log) | 0.019 | 0.039 | -0.021 | 0.053 |
| Age | -0.003 * | 0.002 | -0.006 *** | 0.002 |
| Gender: Female | - | - | - | - |
| Male | 0.112 *** | 0.037 | 0.202 *** | 0.050 |
| Income: less than 3 million | - | - | - | - |
| 3–5 million | 0.038 | 0.042 | 0.085 | 0.058 |
| more than 5 million | 0.027 | 0.044 | 0.033 | 0.060 |
| Job: Office Worker | - | - | - | - |
| Specialized skill | -0.076 | 0.053 | -0.111 | 0.072 |
| Service worker | -0.054 | 0.058 | -0.062 | 0.079 |
| Salesman | -0.06 | 0.058 | -0.041 | 0.079 |
| Manual worker | 0.005 | 0.059 | 0.028 | 0.081 |
| Others | -0.12 | 0.122 | -0.117 | 0.166 |
| Household member | 0.038 ** | 0.017 | 0.071 *** | 0.023 |
| Housing types: Apartment | - | - | - | - |
| Multi-family housing | -0.045 | 0.056 | -0.039 | 0.077 |
| Single-family housing | -0.140 ** | 0.049 | -0.156 ** | 0.067 |
| Row house | Villa | -0.046 | 0.053 | 0.053 | 0.072 |
| Others | -0.094 | 0.103 | -0.292 ** | 0.140 |
| Vehicle ownership: No | - | - | - | - |
| Yes | -0.058 | 0.052 | -0.092 | 0.07 |
| Observations | 937 | 937 | ||
| R2 / R2 adjusted | 0.296 / 0.280 | 0.179 / 0.161 | ||
| log-Likelihood | -622.508 | -911.554 | ||
* p<0.1
** p<0.05
*** p<0.01