Table 4. Correlations between urban green space and yearly outdoor crimes based on the OLS regressions

Category Variables One-by-One models Final model
Coefficient 95% confindence interval Coefficient 95% confindence interval
Sociodemographic variables Minority(%) 0.01*** 0.01 0.02
Income($1000) —0.01* —0.01 0.00
Median housing value($1000) 0.00 0.00 0.00
Unemployment(%) 0.00 —0.03 0.03
Female-headed family(%) 0.00 0.00 0.01
Teenage school dropout(%) 0.01*** 0.00 0.01
Welfare receipt(%) —0.01 —0.05 0.03
Population density per acre 0.00 0.00 0.00
Urban green space variables Impervious surface areas(%) 0.02*** 0.02 0.03
Tree areas(%) —0.01 —0.01 0.00
Normalized difference vegetation index —1.66** —2.93 —0.38 —1.36** —2.67 —0.05
Park areas(%) —0.01** —0.02 0.00 —0.01* —0.01 0.00
Water areas(%) 0.00 —0.02 0.01
표본수 (N)= 457 Adj. R-squared= 0.3068 Root MSE= 0.9893
p<0.01;
p<0.05;
p<0.10
본 연구에서는 해당 변수를 도시녹지와 관련된 변수로 설정하였다.
One-by-One 모형은 사회․인구학적 특성의 모든 변수들(소수인종, 소득수준, 집값, 실직률, 여성가장비율, 10대 학교 중퇴자비율, 복지후생 수혜비율, 인구밀도) 을 통제시키며, 옥외범죄율에 대한 도시녹지변수 개개의 영향력을 살펴본 것이다.