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Table 4 Results of the binary logistic regression

From: What are the factors and needs promoting mobility-as-a-service? Findings from the Swiss Household Energy Demand Survey (SHEDS)

 

Treatments/ Hypotheses

Wald χ2

P-value

Exp(B)

95% CI for Exp(B)

Lower

Upper

Commuting (Nagelkerke R2 = 12.9%)

Treatment (control)

 

2.863

0.581

   

4 stars

T1

0.044

0.834

1.067

0.581

1.961

5 stars

T2 (H7)

1.559

0.212

0.642

0.320

1.287

Policy planned

T3

0.077

0.781

1.096

0.575

2.086

Policy decided

T4 (H8)

0.928

0.335

1.338

0.740

2.420

Age group (55+)

 

6.409

0.041

   

18–34

 

4.386

0.036

1.680

1.034

2.730

35–54

H1

0.125

0.723

1.083

0.696

1.685

Gender (Male)

 

0.163

0.686

0.934

0.669

1.302

Education (Apprenticeship)

 

1.344

0.511

   

High school

 

0.502

0.479

1.223

0.701

2.135

Higher education

H2

1.317

0.251

1.258

0.850

1.861

Place of residence (City)

 

3.921

0.141

   

Agglomeration

 

3.549

0.060

1.478

0.984

2.219

Countryside

 

1.583

0.208

1.325

0.855

2.055

Household income (CHF)

 

2.369

0.124

1.048

0.987

1.113

Mode choice (Private car)

 

12.528

0.014

   

Public transport

H3

8.924

0.003**

2.358

1.343

4.141

Soft mobility (bike, foot)

 

1.099

0.294

1.318

0.787

2.208

Multimodal mobility

 

2.471

0.116

2.772

0.778

9.881

Does not work

 

0.913

0.339

0.632

0.247

1.620

Mobility sharing: Car (Never)

H4

8.829

0.066

   

Every few months

 

1.285

0.257

1.257

0.846

1.868

Once a month

 

2.833

0.092

1.586

0.927

2.713

Once a week

 

2.305

0.129

0.524

0.227

1.207

Several times a week

 

2.747

0.097

2.110

0.873

5.100

Public transport passes (None)

 

8.388

0.039

   

GA 1st class

 

0.230

0.632

1.241

0.513

3.007

GA 2nd class

 

6.244

0.012

0.488

0.278

0.857

Regional pass

 

1.665

0.197

0.697

0.402

1.206

Time home-work (min)

 

1.978

0.160

1.005

0.998

1.012

Pro-environmental attitude

H5

1.085

0.298

1.128

0.899

1.415

Plans to reduce car usage

H6

8.592

0.003**

1.227

1.070

1.407

Constant

 

6.919

0.009

0.171

  

Weekday leisure trips (Nagelkerke R2 = 14.1%)

Treatment (control)

 

9.404

0.052

   

4 stars, T1

T1

0.618

0.432

1.243

0.723

2.136

5 stars, T2

T2 (H7)

0.271

0.603

1.166

0.654

2.081

Policy planned, T3

T3

0.381

0.537

1.192

0.683

2.080

Policy decided, T4

T4 (H8)

9.034

0.003**

2.321

1.340

4.019

Age group (55+)

 

3.332

0.189

   

18–34

 

3.053

0.081

1.423

0.958

2.114

35–54

H1

1.763

0.184

1.254

0.898

1.752

Gender (Male)

 

0.001

0.972

1.005

0.751

1.345

Education (Apprenticeship)

 

10.474

0.005

   

High school

 

0.141

0.707

1.094

0.684

1.749

Higher education

H2

9.208

0.002**

1.675

1.200

2.337

Place of residence (City)

 

0.181

0.914

   

Agglomeration

 

0.160

0.689

0.933

0.662

1.313

Countryside

 

0.075

0.784

0.947

0.642

1.397

Household income (CHF)

 

4.943

0.026

1.062

1.007

1.119

Mode choice (Private car)

 

10.522

0.015

   

Public transport

H3

7.804

0.005**

1.666

1.165

2.384

Soft mobility (bike, foot)

 

0.018

0.894

1.026

0.699

1.508

Multimodal mobility

 

2.858

0.091

1.985

0.896

4.396

Mobility sharing: Car (Never)

 

22.260

0.000

   

Every few months

H4

13.453

0.000***

1.936

1.360

2.755

Once a month

 

13.252

0.000

2.616

1.559

4.389

Once a week

 

0.340

0.560

1.234

0.609

2.501

Several times a week

 

0.308

0.579

1.287

0.528

3.138

Pro-environmental attitude

H5

4.712

0.030

1.247

1.022

1.522

Plans to reduce car usage

H6

2.559

0.110

1.103

0.978

1.244

Constant

 

28.554

0.000

0.098

  

Weekend leisure trips (Nagelkerke R2 = 19.9%)

Treatment (control)

 

6.908

0.141

   

4 stars

T1

0.670

0.413

1.264

0.721

2.214

5 stars

T2 (H7)

0.045

0.832

1.068

0.583

1.955

Policy planned

T3

0.217

0.642

1.146

0.645

2.038

Policy decided

T4 (H8)

6.538

0.011**

2.124

1.192

3.785

Age group (55+)

 

6.454

0.040

   

18–34

 

4.468

0.035

1.555

1.033

2.343

35–54

H1

5.071

0.024*

1.480

1.052

2.082

Gender (Male)

 

0.007

0.933

1.013

0.750

1.367

Education (Apprenticeship)

 

12.899

0.002

   

High school

 

0.004

0.951

1.015

0.632

1.630

Higher education

H2

10.590

0.001***

1.752

1.250

2.456

Place of residence (City)

 

5.857

0.053

   

Agglomeration

 

3.712

0.054

0.710

0.501

1.006

Countryside

 

4.212

0.040

0.661

0.445

0.982

Household income (CHF)

 

4.269

0.039

1.058

1.003

1.116

Mode choice (Private car)

 

17.979

0.000

   

Public transport

H3

12.384

0.000***

1.936

1.340

2.798

Soft mobility (bike, foot)

 

3.368

0.066

1.442

0.975

2.133

Multimodal mobility

 

7.987

0.005

3.732

1.497

9.301

Mobility sharing: Car (Never)

 

26.240

0.000

   

Every few months

H4

22.425

0.000***

2.483

1.704

3.618

Once a month

 

7.106

0.008

2.063

1.211

3.514

Once a week

 

1.922

0.166

1.676

0.808

3.479

Several times a week

 

0.214

0.643

1.240

0.499

3.085

Pro-environmental attitude

H5

7.984

0.005**

1.344

1.095

1.649

Plans to reduce car usage

H6

2.956

0.086

1.116

0.985

1.265

Constant

 

29.586

0.000

0.089

  
  1. Wald χ2, Wald chi-square statistic; Exp(B), odds ratio; CI confidence interval; *, ** and *** significant at p < 0.1, p < 0.05 and p < 0.01, respectively (after Bonferroni-Holm correction)
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