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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/ HypothesesWald χ2P-valueExp(B)95% CI for Exp(B)
LowerUpper
Commuting (Nagelkerke R2 = 12.9%)
Treatment (control) 2.8630.581   
4 starsT10.0440.8341.0670.5811.961
5 starsT2 (H7)1.5590.2120.6420.3201.287
Policy plannedT30.0770.7811.0960.5752.086
Policy decidedT4 (H8)0.9280.3351.3380.7402.420
Age group (55+) 6.4090.041   
18–34 4.3860.0361.6801.0342.730
35–54H10.1250.7231.0830.6961.685
Gender (Male) 0.1630.6860.9340.6691.302
Education (Apprenticeship) 1.3440.511   
High school 0.5020.4791.2230.7012.135
Higher educationH21.3170.2511.2580.8501.861
Place of residence (City) 3.9210.141   
Agglomeration 3.5490.0601.4780.9842.219
Countryside 1.5830.2081.3250.8552.055
Household income (CHF) 2.3690.1241.0480.9871.113
Mode choice (Private car) 12.5280.014   
Public transportH38.9240.003**2.3581.3434.141
Soft mobility (bike, foot) 1.0990.2941.3180.7872.208
Multimodal mobility 2.4710.1162.7720.7789.881
Does not work 0.9130.3390.6320.2471.620
Mobility sharing: Car (Never)H48.8290.066   
Every few months 1.2850.2571.2570.8461.868
Once a month 2.8330.0921.5860.9272.713
Once a week 2.3050.1290.5240.2271.207
Several times a week 2.7470.0972.1100.8735.100
Public transport passes (None) 8.3880.039   
GA 1st class 0.2300.6321.2410.5133.007
GA 2nd class 6.2440.0120.4880.2780.857
Regional pass 1.6650.1970.6970.4021.206
Time home-work (min) 1.9780.1601.0050.9981.012
Pro-environmental attitudeH51.0850.2981.1280.8991.415
Plans to reduce car usageH68.5920.003**1.2271.0701.407
Constant 6.9190.0090.171  
Weekday leisure trips (Nagelkerke R2 = 14.1%)
Treatment (control) 9.4040.052   
4 stars, T1T10.6180.4321.2430.7232.136
5 stars, T2T2 (H7)0.2710.6031.1660.6542.081
Policy planned, T3T30.3810.5371.1920.6832.080
Policy decided, T4T4 (H8)9.0340.003**2.3211.3404.019
Age group (55+) 3.3320.189   
18–34 3.0530.0811.4230.9582.114
35–54H11.7630.1841.2540.8981.752
Gender (Male) 0.0010.9721.0050.7511.345
Education (Apprenticeship) 10.4740.005   
High school 0.1410.7071.0940.6841.749
Higher educationH29.2080.002**1.6751.2002.337
Place of residence (City) 0.1810.914   
Agglomeration 0.1600.6890.9330.6621.313
Countryside 0.0750.7840.9470.6421.397
Household income (CHF) 4.9430.0261.0621.0071.119
Mode choice (Private car) 10.5220.015   
Public transportH37.8040.005**1.6661.1652.384
Soft mobility (bike, foot) 0.0180.8941.0260.6991.508
Multimodal mobility 2.8580.0911.9850.8964.396
Mobility sharing: Car (Never) 22.2600.000   
Every few monthsH413.4530.000***1.9361.3602.755
Once a month 13.2520.0002.6161.5594.389
Once a week 0.3400.5601.2340.6092.501
Several times a week 0.3080.5791.2870.5283.138
Pro-environmental attitudeH54.7120.0301.2471.0221.522
Plans to reduce car usageH62.5590.1101.1030.9781.244
Constant 28.5540.0000.098  
Weekend leisure trips (Nagelkerke R2 = 19.9%)
Treatment (control) 6.9080.141   
4 starsT10.6700.4131.2640.7212.214
5 starsT2 (H7)0.0450.8321.0680.5831.955
Policy plannedT30.2170.6421.1460.6452.038
Policy decidedT4 (H8)6.5380.011**2.1241.1923.785
Age group (55+) 6.4540.040   
18–34 4.4680.0351.5551.0332.343
35–54H15.0710.024*1.4801.0522.082
Gender (Male) 0.0070.9331.0130.7501.367
Education (Apprenticeship) 12.8990.002   
High school 0.0040.9511.0150.6321.630
Higher educationH210.5900.001***1.7521.2502.456
Place of residence (City) 5.8570.053   
Agglomeration 3.7120.0540.7100.5011.006
Countryside 4.2120.0400.6610.4450.982
Household income (CHF) 4.2690.0391.0581.0031.116
Mode choice (Private car) 17.9790.000   
Public transportH312.3840.000***1.9361.3402.798
Soft mobility (bike, foot) 3.3680.0661.4420.9752.133
Multimodal mobility 7.9870.0053.7321.4979.301
Mobility sharing: Car (Never) 26.2400.000   
Every few monthsH422.4250.000***2.4831.7043.618
Once a month 7.1060.0082.0631.2113.514
Once a week 1.9220.1661.6760.8083.479
Several times a week 0.2140.6431.2400.4993.085
Pro-environmental attitudeH57.9840.005**1.3441.0951.649
Plans to reduce car usageH62.9560.0861.1160.9851.265
Constant 29.5860.0000.089  
  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)