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Table 3 Characteristics of new bicycle path users and factors associated with new users

From: Use of and short-term impacts of new cycling infrastructure in inner-Sydney, Australia: a quasi-experimental design

 

%

Odds Ratio (95 % CI)

Adjusted Odds Ratio 95 % CIa

P value

Proportion had used cycleway (n = 75)

14.7

   

Age

 18–24

15.5

1.0

1.0

 

 25–34

20.9

1.44 (0.62–3.36)

0.54 (0.18–1.57)

0.890

 35–44

18.4

1.23 (0.53–2.85)

0.73 (0.25–2.15)

0.953

 45–55

9.6

0.58 (0.25–1.34)

0.42 (0.14–1.24)

0.192

Sex

 Female

13.9

1.0

1.0

 

 Male

16.3

1.21 (0.74–1.99)

0.64 (0.34–1.21)

0.306

Education

 Less than tertiary

13.0

1.0

1.0

 

 Tertiary or higher

15.5

1.23 (0.69–2.20)

0.83 (0.39–1.77)

0.908

Income

 Less than $80 K (AUS)

13.2

1.0

1.0

 

 $80 K or more

17.0

1.34 (0.75–2.39)

1.26 (0.63–2.54)

0.551

Weekly cycling frequency

 Less than weekly

 

1.0

1.0

 

 At least weekly

 

7.44 (4.41–12.56)

7.50 (3.93–14.31)

<0.001

Cyclist type

 Low intensity recreational

7.0

1.0

1.0

 

 High intensity recreational

30.3

5.79 (2.45–13.68)

4.38 (1.53–12.59)

0.026

 Low intensity transport

25.4

4.54 (2.50–8.22)

2.42 (1.17–5.04)

0.032

 High intensity transport

31.0

5.97 (2.72–13.09)

2.40 (0.90–6.44)

0.598

Distance from bicycle path in 500 mb

 

1.21 (1.12–1.31)

1.24 (1.13–1.37)

<0.001

Distance from bicycle path in 100 mb

 

1.04 (1.02–1.05)

1.04 (1.02–1.06)

<0.001

  1. aAdjusted for all other variables in the model
  2. bOne or the other included in the model at one time
  3. Bold text highlights statistically signficant associations