Table 10.

Estimation results of the OL component for the MS scenario

VariablesEstimatest-ratiop-value
MS scenario: HMXL model 
Plant block on the left of the bike lane – 1 if presence; 0 not presence1.986814.8<2 × 10−16***
Plant block on the left of the bike lane * having children < 12 year old (interaction term) (β_plant block L * parent.status)0.57943.34 × 10−4***
Plant block on the left of the bike lane * living in Mitte (interaction term) (β_plant block L * Mitte)0.46011.70.048*
Plant block on the left of the bike lane * regular cyclist (interaction term) (β_plant block L * Cyclist)−0.5487−3.35 × 10−4***
Plant block on the left of the bike lane * long bike route > 30 min (interaction term) (β_plant block L * long route)−0.2500−1.00.162
Wide bike lane on the main street – 1 if presence; 0 not presence2.093261.2<2 × 10−16***
Absence of cycle lane on the main street – 1 if absent; 0 present−4.6341−51.1<2 × 10−16***
Bus lane close to the bike lane – 1 if presence; 0 not presence3.872423.1<2 × 10−16***
Vehicle lane close to the bike lane – 1 if presence; 0 not presence0.14145.69 × 10−9***
Normal traffic volume – 1 if presence; 0 not presence0.12995.21 × 10−7***
30km/h limit traffic speed – 1 if presence; 0 not presence0.15856.22 × 10−10***
Coloured surface of the bike lane – 1 if presence; 0 not presence0.938234.0<2 × 10−16***
Narrow separation on the right of the bike lane – 1 if presence; 0 not presence−2.1748−54.1<2 × 10−16***
Dashed line on the left of the bike lane – 1 if presence; 0 not presence−0.6283−18.3<2 × 10−16***
Double line on the left of the bike lane – 1 if presence; 0 not presence−2.3572−54.1<2 × 10−16***
Prohibited area line on the right of the bike lane – 1 if presence; 0 not presence−2.3172−53.8<2 × 10−16***
High bollards on the left of the bike lane – 1 if presence; 0 not presence1.699118.3<2 × 10−16***
Socioeconomic variables 
Having children < 12 years old – 1 yes; 0 no−0.2241−2.20.014*
Having a bike – 1 yes; 0 no−0.0017−0.60.273
Using bike for route longer than 30 min – 1 yes; 0 no0.25422.50.007**
Being a regular cyclist – 1 yes; 0 no0.33364.03 × 10−5***
Being resident in Mitte – Random parameter normal distribution 
Mean (μ_Mitte)−0.2261−1.40.078.
Standard deviation (σ_Mitte)−1.3143−6.46 × 10−11***
Latent variable 
Weather sensitivity – latent variable (λ_weathersensitivity)2.968164.5<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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