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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.