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Table 4 Results of total number of weekly trips per person in the typical & lockdown periods for 2 population clusters

From: Mapping travel behavior changes during the COVID-19 lock-down: a socioeconomic analysis in Greece

Variables

Typical Period

Lockdown period

Unstandardized Coefficients

Sig.

Unstandardized Coefficients

Sig.

Î’

exp(B)

Std. Error

Î’

exp(B)

Std. Error

Population Cluster: Over 100,000 citizens

Gender:

 Male

–

–

–

–

0.265

1.303

0.0615

0.000a

Age Groups:

 26–40

0.170

1.186

0.0700

0.015a

0.422

1.525

0.1174

0.000a

 41–64

0.288

1.334

0.0693

0.000a

0.541

1.718

0.1164

0.000a

  > 65

0.193

1.213

0.1063

0.070

0.475

1.608

0.1739

0.006a

Monthly Average:

 1000-2000€

–

–

–

–

–

–

–

–

  > 2000€

–

–

–

–

–

–

–

–

Intercept:

2.354

10.529

0.0635

0.000a

1.260

3.525

0.1109

0.000a

 

Model Summary-Goodness of Fit Metrics

Omnibus Test

0.000

Omnibus Test

0.000

AIC

3340.718

AIC

2961.605

BIC

3362.120

BIC

2987.287

Population Cluster: Below 100,000 citizens

Gender:

 Male

–

–

–

–

0.318

1.375

0.056

0.000a

Age Groups:

 26–40

0.355

1.426

0.0544

0.000a

0.522

1.685

0.1006

0.000a

 41–64

0.326

1.385

0.0525

0.000a

0.575

1.777

0.0995

0.000a

  > 65

0.140

1.150

0.1154

0.226

0.564

1.758

0.1907

0.003a

Monthly Average:

 1000-2000€

–

–

–

–

− 0.154

0.814

0.0649

0.007a

  > 2000€

–

–

–

–

− 0.205

0.857

0.0757

0.017a

Intercept:

2.281

9.784

0.0462

0.000a

1.369

3.931

0.0945

0.000a

 

Model Summary-Goodness of Fit Metrics

Omnibus Test

0.000

Omnibus Test

0.000

AIC

4595.488

AIC

3494.029

BIC

4618.398

BIC

3529.376

  1. Note 1: Dependent Variable: Total Number of weekly trips per person in typical and lockdown conditions
  2. Note 2: Reference categories: Female for Gender, 18–25 years old for Age Group and less than 1000 euros for Income
  3. aSignificance at 1%