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Table 4 Multivariable linear regression models examining the influence of changes to the built environment on walking behavior (N = 146)

From: How do changes to the built environment influence walking behaviors? a longitudinal study within a university campus in Hong Kong

 

Changes to walking distance

Changes to walking ratio

Changes to altitude range

β

SE

p-value

β

SE

p-value

β

SE

p-value

Change in exposure to building area

         

Change in exposure to work areas

−0.041

0.001

0.34

0.171

0 < 0.001

0.12

−0.385

0 < 0.001

<0.001**

Change in exposure to life areas

−0.147

0.003

<0.001**

−0.101

0 < 0.001

0.41

−0.152

0 < 0.001

0.18

Change in exposure to pedestrian network

         

Change in exposure to pedestrian network intersection

0.895

2.177

<0.001**

0.408

0 < 0.001

<0.001**

−0.174

0.110

0.08

Change in exposure to bus services

         

Change in exposure to regular bus stops

0.029

6.225

0.39

−0.037

0.001

0.67

0.208

0.314

0.01*

Change in exposure to middle-class bus stops

0.054

6.515

0.08

0.081

0.001

0.31

−0.175

0.328

0.02*

Change in exposure to population density

         

Change in exposure to population density

0.187

724.549

<0.001**

0.115

0.107

0.48

0.996

36.529

<0.001**

Gender

0.008

112.174

0.76

−0.026

0.016

0.72

−0.024

5.655

0.72

  1. SE = standard error.
  2. *p < 0.05, **p < 0.001.