Ordered probit regression | Number of observations | = | 161 | |||
LR chi2 (14) | = | 95.79 | ||||
Prob > chi2 | = | 0 | ||||
Log likelihood = −190.52611 | Pseudo R2 | = | 0.2009 | |||
Likelihood to use shared bikes for commuting | Coef. | Std. Err. | z | P > z | [95% Confid. Interval] | |
Origin destination distance (mi) | 0.512 | 0.525 | 0.970 | 0.330 | −0.517 | 1.542 |
Check-in station to destination distance (100 ft) | 0.063 | 0.036 | 1.780 | 0.075 | −0.006 | 0.133 |
Bus line (yes/no) | −1.549 | 0.215 | −7.200 | 0.000 | −1.971 | −1.127 |
Income level |
| |||||
Between $20,000 to $60,000 | 0.232 | 0.259 | 0.900 | 0.370 | −0.276 | 0.741 |
More than $60,000 | 0.791 | 0.280 | 2.820 | 0.005 | 0.241 | 1.340 |
Prefer not to say | 0.451 | 0.355 | 1.270 | 0.203 | −0.244 | 1.147 |
Transportation model to UNLV |
| |||||
Car | 0.733 | 0.414 | 1.770 | 0.077 | −0.078 | 1.544 |
Bus | −0.181 | 0.649 | −0.280 | 0.781 | −1.454 | 1.092 |
Their own bicycle | 0.615 | 0.501 | 1.230 | 0.220 | −0.367 | 1.598 |
Arrival time to UNLV |
| |||||
Before 8 am | 0.383 | 0.216 | 1.770 | 0.076 | −0.041 | 0.807 |
Between 8 am to 12 pm | −0.424 | 0.336 | −1.260 | 0.207 | −1.083 | 0.234 |
Education level |
| |||||
High school, college, or associate’s degree | 0.701 | 0.330 | 2.120 | 0.034 | 0.053 | 1.348 |
Bachelor’s degree | 0.651 | 0.278 | 2.340 | 0.019 | 0.105 | 1.196 |
Graduate degree and others | 0.041 | 0.258 | 0.160 | 0.873 | −0.464 | 0.546 |
/cut1 | −0.347 | 0.483 |
|
| −1.293 | 0.600 |
/cut2 | 0.929 | 0.492 |
|
| −0.035 | 1.893 |
/cut3 | 1.260 | 0.496 |
|
| 0.288 | 2.231 |
/cut4 | 1.745 | 0.500 |
|
| 0.764 | 2.725 |