Table 10 Robustness evaluation of the multinomial logistic model estimated on the commute time groups.
From: Tracing long-term commute mode choice shifts in Beijing: four years after the COVID-19 pandemic
Commute mode switch | Sample group | Baseline model | Alternative model 1: without seasonal fixed effect | Alternative model 2: resampled by gender-age | Alternative model 3: resampled by affluence index | ||||
|---|---|---|---|---|---|---|---|---|---|
\({\rm{Exp}}\left({\hat{\mu }}_{0}\right)\) | P-v. | \({\rm{Exp}}\left({\hat{\mu }}_{0}\right)\) | P-v. | \({\rm{Exp}}\left({\hat{\mu }}_{0}\right)\) | P-v. | \({\rm{Exp}}\left({\hat{\mu }}_{0}\right)\) | P-v. | ||
Private car (base) → Public transit | S | 0.664 | 0.000 | 0.613 | 0.000 | 0.670 | 0.000 | 0.759 | 0.000 |
L | 0.559 | 0.000 | 0.461 | 0.000 | 0.526 | 0.000 | 0.569 | 0.000 | |
\({\rm{Exp}}\left({\hat{\mu }}_{0}\right)\) | \(S\, >\, L\) | \(S\, >\, L\) | \(S\, >\, L\) | \(S\, >\, L\) | |||||
Private car (base) → Active travel | S | 1.774 | 0.000 | 1.307 | 0.000 | 1.726 | 0.000 | 1.615 | 0.002 |
L | 1.227 | 0.579 | 1.244 | 0.495 | 0.799 | 0.714 | |||
\({\rm{Exp}}\left({\hat{\mu }}_{0}\right)\) | \(S\, >\, L\) | \(S\, >\, L\) | \(S\, >\, L\) | ||||||
Public transit (base) → Private car | S | 4.479 | 0.000 | 3.952 | 0.000 | 4.549 | 0.000 | 3.464 | 0.000 |
L | 5.894 | 0.000 | 5.308 | 0.000 | 6.364 | 0.000 | 5.694 | 0.000 | |
\({\rm{Exp}}\left({\hat{\mu }}_{0}\right)\) | \(S\, <\, L\) | \(S\, <\, L\) | \(S\, <\, L\) | \(S\, <\, L\) | |||||
Public transit (base) → Active travel | S | 3.457 | 0.000 | 2.818 | 0.000 | 3.577 | 0.000 | 2.452 | 0.000 |
L | 2.956 | 0.000 | 2.212 | 0.000 | 2.932 | 0.000 | 1.373 | 0.642 | |
\({\rm{Exp}}\left({\hat{\mu }}_{0}\right)\) | \(S\, >\, L\) | \(S\, >\, L\) | \(S\, >\, L\) | \(S\, >\, L\) | |||||
Active travel (base) → Private car | S | 1.171 | 0.020 | 0.928 | 0.192 | 1.051 | 0.635 | 1.011 | 0.962 |
L | 1.565 | 0.000 | 1.117 | 0.036 | 1.517 | 0.000 | 1.666 | 0.019 | |
\({\rm{Exp}}\left({\hat{\mu }}_{0}\right)\) | \(S\, <\, L\) | \(S\, <\, L\) | \(S\, <\, L\) | \(S\, <\, L\) | |||||
Active travel (base) → Public transit | S | 0.931 | 0.240 | 0.793 | 0.000 | 0.963 | 0.688 | 1.372 | 0.076 |
L | 0.858 | 0.000 | 0.779 | 0.000 | 0.784 | 0.000 | 0.879 | 0.353 | |
\({\rm{Exp}}\left({\hat{\mu }}_{0}\right)\) | \(S\, >\, L\) | \(S\, >\, L\) | \(S\, >\, L\) | ||||||
