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. 2021 Oct 9;121:103491. doi: 10.1016/j.cities.2021.103491

Table 5.

Regression models examining how the built environment relates to leisure satisfaction before and during COVID-19.

Variables Leisure satisfaction (Athens)
Before COVID-19
During COVID-19
Change (Before – During COVID-19)
1 2 1 2 1 2
Built environment
Distance to city center −0.038 −0.003 −0.005 0.084 −0.019 −0.071
Neighborhood density −0.047 −0.105 −0.040 −0.078 0.005 0.001
Public transport 0.010 0.072 −0.054
Local facilities −0.002 0.137 −0.116
Park area 0.084 0.027 0.028
Tree cover −0.061 −0.042 −0.002
Apartment −0.027 −0.085 0.054
Dwelling size −0.031 −0.021 −0.001



Summary statistics
N 470 465 470 465 470 460
Adjusted R-squared 0.041 0.038 0.040 0.048 0.042 0.040



Variables Leisure satisfaction (Thessaloniki)
Before COVID-19
During COVID-19
Change (Before – During COVID-19)
1 2 1 2 1 2
Built environment
Distance to city center 0.048 0.073 −0.042 −0.071 0.059 0.096
Neighborhood density −0.015 −0.054 −0.136a −0.098 0.099 0.047
Public transport 0.058 −0.070 0.087
Local facilities 0.039 −0.008 0.028
Park area 0.010 0.047 −0.031
Tree cover −0.037 −0.071 0.035
Apartment 0.028 −0.067 0.068
Dwelling size 0.149 0.021 0.066



Summary statistics
N 510 504 510 504 510 504
Adjusted R-squared 0.015 0.019 0.043 0.040 0.019 0.013

All coefficients shown are standardized. The models are adjusted for individual sociodemographic variables: age, gender, unemployment, cohabitation status, citizenship, income, education level, presence of children in household, religiosity, and disability. The models are also adjusted for area socioeconomic status: mean household income, proportion of immigrants, and unemployment rate. ⁎⁎ p < 0.01. ⁎⁎⁎ p < 0.001.

a

p < 0.10.

p < 0.05.