Table 8 Robustness evaluation of the multinomial logistic model estimated on the whole sample.

From: Tracing long-term commute mode choice shifts in Beijing: four years after the COVID-19 pandemic

Commute mode switch

Phase

Baseline model

Alternative model 1: without seasonal fixed effect

Alternative model 2: resampled by gender-age

Alternative model 3: resampled by affluence index

\({\rm{Exp}}\left({\hat{\mu }}_{j}\right)\)

P-v.

\({\rm{Exp}}\left({\hat{\mu }}_{j}\right)\)

P-v.

\({\rm{Exp}}\left({\hat{\mu }}_{j}\right)\)

P-v.

\({\rm{Exp}}\left({\hat{\mu }}_{j}\right)\)

P-v.

Private car (base) → Public transit

\({t}_{0}\)

0.625

0.000

0.545

0.000

0.615

0.000

0.683

0.000

\({t}_{1}\)

1.990

0.000

2.181

0.000

1.978

0.000

1.676

0.000

\({t}_{7}\)

0.537

0.000

0.588

0.000

0.535

0.000

0.544

0.000

Private car (base) → Active travel

\({t}_{0}\)

1.778

0.000

1.304

0.000

1.718

0.000

1.590

0.003

\({t}_{1}\)

0.920

0.071

1.111

0.016

0.987

0.857

0.852

0.297

\({t}_{7}\)

1.275

0.000

1.541

0.000

1.386

0.000

1.304

0.009

Public transit (base) → Private car

\({t}_{0}\)

5.108

0.000

4.548

0.000

5.329

0.000

4.324

0.000

\({t}_{1}\)

0.735

0.000

0.796

0.000

0.720

0.000

0.740

0.000

\({t}_{7}\)

1.376

0.000

1.489

0.000

1.407

0.000

1.429

0.000

Public transit (base) → Active travel

\({t}_{0}\)

3.748

0.000

3.049

0.000

3.906

0.000

2.721

0.000

\({t}_{1}\)

0.768

0.000

0.875

0.000

0.781

0.000

0.869

0.266

\({t}_{7}\)

1.419

0.000

1.615

0.000

1.494

0.000

1.324

0.006

Active travel (base) → Private car

\({t}_{0}\)

1.354

0.000

1.020

0.610

1.255

0.002

1.303

0.09

\({t}_{1}\)

0.867

0.001

1.036

0.409

0.846

0.017

0.800

0.131

\({t}_{7}\)

4.393

0.000

5.253

0.000

4.633

0.000

3.760

0.000

Active travel (base) → Public transit

\({t}_{0}\)

0.882

0.000

0.784

0.000

0.837

0.001

1.040

0.718

\({t}_{1}\)

1.131

0.000

1.225

0.000

1.084

0.091

1.172

0.130

\({t}_{7}\)

1.608

0.000

1.743

0.000

1.559

0.000

1.444

0.000