Last trip replaced car (166 cases) Last trip replaced PT (686 cases) Last trip replaced bike (135 cases) Last trip replaced walk (1105 cases)
B Sig. Exp(B) B Sig. Exp(B) B Sig. Exp(B) B Sig. Exp(B)
Area Usually rides e-scooter in Oslo (dummy) -0.347 0.065 0.707 0.323 0.003 1.381 -0.290 0.003 0.748
Used e-scooter in city centre (dummy) -0.412 0.039 0.662
3 or more PT departures at nearest stop 0.507 0.002 1.660
Trip attribute Trip duration (5 intervals: 0-4 min, 4-9 min, 10-14 min, 15-19 min, 20 minutes or more) 0.241 0.003 1.273 0.521 0.000 1.683 -0.667 0.000 0.513
Used e-scooter as main transport mode (dummy) 0.705 0.013 2.025 1.069 0.000 2.912
Used e-scooter to/from another transport mode (dummy) -0.861 0.003 0.423 -0.950 0.000 0.387
User attribute Male (dummy) 0.413 0.030 1.511 -0.177 0.070 0.838
Student -0.955 0.001 0.385
Age -0.018 0.000 0.982
Over 40 years old (dummy) 0.279 0.010 1.322
Usually pay for each trip separately (PAYG; dummy) -0.405 0.039 0.667 0.200 0.091 1.221
Owns or has access to (city)bike (dummy) -0.273 0.018 0.761 1.711 0.000 5.533 -0.194 0.082 0.824
Used privately owned e-scooter (dummy) 0.992 0.001 2.697 -0.520 0.051 0.595 0.668 0.050 1.950
Choice situation Used e-scooter to/from another transport mode and would have changed the whole trip chain if e-scooter were not available (dummy) 2.092 0.000 8.098 2.282 0.000 9.798 -3.176 0.000 0.042
Chose e-scooter because (dummies):
- It was quickest -0.593 0.002 0.553 0.399 0.003 1.491 -0.481 0.014 0.618
- It was most reliable 0.442 0.026 1.555 -0.776 0.000 0.460
- It was cheapest 0.547 0.000 1.729 -0.820 0.000 0.440
- It was most flexible 0.440 0.000 1.553 -0.329 0.075 0.720 -0.403 0.000 0.668
- It was most accessible -0.389 0.057 0.678 0.262 0.014 1.299
- Car parking makes it difficult to use car 1.900 0.000 6.685 -0.552 0.016 0.576 -0.811 0.000 0.444
- I didn’t have to make effort -0.883 0.017 0.414
- I don’t have car -1.320 0.006 0.267
- PT didn’t go where I was going 0.542 0.026 1.720
Constant -2.894 0.000 0.055 -3.568 0.000 0.028 -3.665 0.000 0.026 3.006 0.000 20.201
Model fit statistics Cox & Snell R Square 0,099 0,148 0,025 0,209
Nagelkerke R Square 0,240 0,208 0,070 0,279
McFadden R-squared 0,196 0,128 0,057 0,169
LL null model (intercept only) 966,079 2533,617 128,782 1836,469
LL final model 734,891 2188,586 70,143 1308,695