Table 9.

Estimation results of the OL component for the CP scenario

VariablesEstimatest-ratiop-value
CP scenario: HMXL model 
Hedge on the left of the cp – 1 if presence; 0 not presence0.40495.28 × 10−8***
Hedge on the right of the cp – 1 if presence; 0 not presence0.50704.21 × 10−5***
Hedge on the right of the cp * female (interaction term) (β_hedgeR * gender)0.28663.71 × 10−4***
Hedge on the left of the cp * age (interaction term) (β_hedgeL* age)−0.0553−0.70.243
Hedge on the right of the cp * age (interaction term) (β_hedgeR * age)0.17561.50.067.
Hedge on the left of the cp * having children (interaction term) (β_hedgeL * parent.status)−0.1051−1.70.045*
Hedge on the right of the cp * having children (interaction term) (β_hedgeR * parent.status)0.19212.20.013*
Hedge on the left of the cp * having a bike (interaction term) (β_hedgeL * bike availability)0.02912.00.025*
Hedge on the right of the cp * having a bike (interaction term) (β_hedgeR * bike availability)−0.0161−0.80.209
Hedge on the left of the cp * being a regular cyclist (interaction term) (β_hedgeL * cyclist)−0.0291−0.50.299
Hedge on the right of the cp * being a regular cyclist (interaction term) (β_hedgeR * cyclist)0.16562.10.018*
Wide cycle path2.648884.3<2 × 10−16***
Wide separation on the left of the cp−0.4874−26.6<2 × 10−16***
Wide separation on the right of the cp−0.743037.5<2 × 10−16***
Presence of grass strips on the left of the cp0.06303.43 × 10−4***
Presence of grass strips on the right of the cp0.442819.9<2 × 10−16***
Presence of bollards on the left of the cp0.19448.07 × 10−16***
Narrow pavement on the right of the cp−0.4698−20.1<2 × 10−16***
Presence of pavement shop on the right of the cp−0.3102−16.5<2 × 10−16***
Socioeconomic variables 
Gender – 1 female; 0 male0.41045.29 × 10−8***
Age – 1 from 25 to 64 years old; 0 other−0.4978−3.53 × 10−4***
Having children < 12 years old – 1 yes; 0 no0.06930.90.196
Having a bike – 1 yes; 0 no−0.0050−0.90.175
Using bike for route longer than 30 min – 1 yes; 0 no−0.3828−3.61 × 10−4***
Being a regular cyclist – 1 yes; 0 no−0.2407−2.70.003**
Being resident in Mitte – Random parameter normal distribution 
Mean (μ_Mitte)−0.1762−1.30.090.
Standard deviation (σ_Mitte)0.05921.50.069.
Latent variable 
Weather sensitivity – latent variable (λ_ weathersensitivity)2.613873.9<2 × 10−16***
Note(s):

Signif. codes: 0 ‘*’ 0.001 ‘’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘’

Source(s): Authors’ own work

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