Table 1.

Factor Loadings and Variance of the Five Neighborhood Indices Examined.

Number of block groups	157
Physical incivilities
Eigenvaluea	3.63
# of Eigenvalue >1	1
%variance explained by component 1	0.60
Alpha	0.86
Eigenvector loadings:
Fair/poor/deteriorated condition of residential units	0.48
Fair/poor condition of resident-kept grounds	0.48
Abandoned/burned/boarded up units	0.41
Litter	0.41
Pedestrian-oriented public lighting	−0.23
No trespassing sign	0.39
Social spaces
Eigenvaluea	2.30
# of Eigenvalue >1	2
% variance explained by component 1	0.58
Alpha	0.74
Eigenvector loadings:
Porches in at least half of residences	0.57
Sidewalk on at least one side of the street	−0.51
Traditional lawn or landscaped	0.56
Visible adult/child	−0.32
Walkability
Eigenvaluea	2.55
# of Eigenvalue >1	1
% variance explained by component 1	0.64
Alpha	0.81
Eigenvector loadings:
Neighborhood park/playground	−0.50
Sidewalk in good condition	0.50
Pedestrian oriented lighted	0.48
Neighborhood entrance sign	0.52
Borders
Eigenvaluea	1.96
# of Eigenvalue >1	1
% variance explained by component 1	0.65
Alpha	0.72
Eigenvector loadings:
Porches in at least half of residences	0.65
Some form of decoration on at least half of residences	0.61
Border on at least half of residences	0.45
Arterial features
Eigenvaluea	3.53
# of Eigenvalue >1	2
%variance explained by component 1	0.50
Alpha	0.82
Eigenvector loadings:
Nonresidential commercial land use	0.38
Sidewalk in good condition	0.33
Bus stop/facilities	0.37
More than two lanes to cross the street	0.44
Paved roads	0.18
Pavement markings/crosswalk	0.47
Yield to pedestrian signs/paddles/signals	0.41

^aEigenvalues are a measure of the variance of all the variables accounted for by the factor. The higher the eigenvalue, the greater amount of variance that has been explained.