Table 4.
Results of binary logistic regression models.
| Surge 1 | Surge 2 | Surge 3 | Surge 4 | Across surges | |
|---|---|---|---|---|---|
| Socio-demographic | |||||
| Income median | 1.001 | 1.001 | 1.001 | 1.001 | 1.001 |
| Age median | 0.653 | 0.616⁎ | 0.726 | 0.992 | 0.675 |
| Postsecondary degrees (%) | 3.082E+32⁎⁎ | 4.148E+15⁎ | 2.123E+33⁎⁎ | 2.483E+35⁎⁎ | 4.162E+20⁎⁎ |
| Working population (%) | 0.000⁎ | 0.000 | 0.000⁎ | 0.070 | 0.000⁎ |
| Metro for commuting (%) | 0.912⁎⁎ | 0.931⁎⁎ | 0.925⁎⁎ | 0.957 | 0.940⁎⁎ |
| Average household size | 183.598 | 23.073 | 117.159⁎ | 515.746⁎⁎ | 15.958 |
| Managers and administrators | 6.731E+32⁎ | 3.798E+35⁎⁎ | 1.108E+30⁎⁎ | 0.351 | 1.825E+28⁎⁎ |
| Professionals/associate professionals | 0.000 | 227,781.016 | 0.000 | 0.000⁎ | 0.000 |
| Clerical support, service and sales workers | 6.903E+16 | 1.193E+14⁎ | 1.214E+20⁎ | 5.226E+10 | 3.092E+16⁎ |
| Craft and related workers | 4.415E+65⁎⁎ | 1.358E+51⁎⁎ | 8.177E+54⁎⁎ | 3.627E+30 | 4.647E+35⁎ |
| Built environment | |||||
| POIs | 1.001 | 1.001 | 1.001 | 0.999 | 1.001 |
| Intersections | 0.995⁎ | 0.995⁎⁎ | 0.996⁎ | 0.997⁎ | 0.998 |
| Retails | 0.988⁎ | 0.985⁎⁎ | 0.987⁎⁎ | 0.990 | 0.987⁎⁎ |
| Bus stops | 0.981 | 0.993 | 0.980 | 0.988 | 0.993 |
| Parking space | 1.080⁎⁎ | 1.058⁎⁎ | 1.069⁎⁎ | 1.078⁎⁎ | 1.029 |
| Centrality degree | |||||
| Average travel time to other stations | 1.358⁎ | 1.145 | 1.353⁎ | 1.430⁎⁎ | 1.250⁎ |
| Population within 15 min's travel | 1.001⁎⁎ | 1.001⁎⁎⁎ | 1.001⁎⁎ | 1.001⁎⁎ | 1.001⁎⁎ |
| Omnibus test | 0.001 | 0.000 | 0.002 | 0.003 | 0.006 |
Ref: necessary stations.
OR (Exp B) is reported.
Omnibus test is used to test the model fit. A significant value less than 0.05 could mean the model fits the data well.
⁎⁎⁎
p < 0.01.
⁎⁎
0.01 < p < 0.05.
⁎
0.05 < p < 0.1.