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Table 3 Robustness tests

From: The linkage between the perception of neighbourhood and physical activity in Guangzhou, China: using street view imagery with deep learning techniques

 Model 2Model 3Model 4
Coef. (SE)Coef. (SE)Coef. (SE)
Wealthy0.854 (1.025)0.966 (1.033)1.189 (0.977)
Safety1.343** (0.558)1.483** (0.663)1.585** (0.647)
Lively1.445** (0.689)1.372** (0.660)1.688** (0.815)
Depressing− 1.181** (0.523)− 1.239** (0.528)− 1.231** (0.608)
Boring− 1.277** (0.608)− 1.209** (0.601)− 1.496** (0.747)
Beautiful1.229** (0.497)1.297** (0.481)1.166** (0.499)
Number of observations769763808
  1. Coef. coefficient, SE standard error
  2. Significance levels: “*” p < 0.100, “**”, p < 0.050, “***” p < 0.010. All models were adjusted for individual-level covariates. Model 2 excluded people who had functional restrictions, Model 3 excluded people aged > 70. Model 4 used a circular buffer with a radius of 1.5 km