Skip to main content

Table 3 Associations between individual- and neighbourhood environmental characteristics with car driving (min/week) (n = 4258)

From: Neighbourhood drivability: environmental and individual characteristics associated with car use across Europe

 

Model 1

 

Model 2

 

Model 3

 
 

B (SE)

p

B (SE)

p

B (SE)

p

Individual characteristics

 Age

1.47 (0.44)

0.001

  

1.43 (0.44)

0.001

 Gender (man)

43.2 (9.44)

< 0.001

  

43.1 (9.44)

< 0.001

 Employment (employed)

80.1 (13.5)

0.000

  

80.0 (13.5)

< 0.001

 Household composition (≥3)

47.4 (13.7)

0.001

  

45.9 (13.7)

0.001

 Education (high)

−14.2 (10.2)

0.164

  

−14.5 (10.2)

0.156

Neighbourhood characteristics

 Car road densitya

  

−5.16 (3.53)

0.144

−3.85 (3.42)

0.260

 Residential densityb

  

−2.62 (1.25)

0.036

−2.47 (1.21)

0.041

 Land-use mixc

  

−3.82 (0.98)

0.000

−3.56 (0.95)

< 0.001

 Traffic signal densityd

  

0.81 (1.05)

0.436

0.68 (1.01)

0.504

 Parking supplye

  

−0.12 (0.88)

0.890

−0.26 (0.86)

0.760

Explained variance at individual level

0.03

 

–

 

–

 

Explained variance at neighbourhood level

0.09

 

0.25

 

0.30

Total unexplained model variance

0.98

 

0.97

 

0.95

 
  1. Model 1: Includes individual characteristics age, gender, employment, household composition and education
  2. Model 2: Includes neighbourhood characteristics car road density, residential density, land-use mix, traffic signal density and parking supply
  3. Model 3: Includes individual characteristics age, gender, employment, household composition and education, and neighbourhood characteristics car road density, residential density, land-use mix, traffic signal density and parking supply
  4. a Percentage of coverage of fast transit roads and associated land, and other roads and associated land per neighbourhood
  5. b Percentage of coverage of buildings devoted to residential facilities per neighbourhood
  6. c Entropy-score of 1) Industrial, commercial, public, military and private units, 2) Residential areas, 3) Green urban areas, and 4) Sports and leisure facilities
  7. d Traffic signal density (including traffic calming devices and pedestrian crossing) per street segment per neighbourhood
  8. e Percentage of parking lots per neighbourhood
  9. f Explained variance was obtained relative to the unconditional model, for model 1 residual variance (level1) and intercept variance (level 2) are presented, and for model 2 only intercept variance is presented