Measuring the Implementation of Sustainable Development …
229
Table 3 Factor analysis of WeGIx final set of twenty-nine indicators NI i,j grouped by their correlations
WeGIx indicators
I
II
III
Communalities
Urban issues (53.7%)
1 SSB
0.655
0.746
3 DC
0.861
0.905
4 DNC
0.881
0.971
6 HP
0.929
0.939
7 H
0.854
0.775
8 PHC
0.885
0.857
9 IP
0.757
0.910
10 BE
0.790
0.963
11 PGS
0.865
0.954
12 HE
0.921
0.888
14 LLL
0.765
0.729
16 GGPP
0.825
0.947
19 WSC
0.799
0.851
21 DEC
0.780
0.947
22 FUEL
0.615
0.733
24 IYP
0.780
0.961
26 PWI
0.895
0.914
27 IE
0.874
0.980
33 UUW
0.770
0.903
32 SUW
0.790
0.841
38 NCD
0.826
0.857
42 CRIMES
0.889
0.970
Emissions and income (19.1%)
23 PIB
0.651
0.679
30 CO 2
0.860
0.760
28 NO X
0.867
0.847
29 PM 10
0.625
0.507
25 AMS
0.748
0.651
Accidents and fires (10.1%)
5 DCA
0.513
0.459
40 RFF
0.869
0.772
Extraction method: principal components. Varimax rotation with Keiser Normalization. Extraction
criterion: eigenvalues > 1. Total variance explained by extracted components: 83.5%; KMO = 0.935
229
Table 3 Factor analysis of WeGIx final set of twenty-nine indicators NI i,j grouped by their correlations
WeGIx indicators
I
II
III
Communalities
Urban issues (53.7%)
1 SSB
0.655
0.746
3 DC
0.861
0.905
4 DNC
0.881
0.971
6 HP
0.929
0.939
7 H
0.854
0.775
8 PHC
0.885
0.857
9 IP
0.757
0.910
10 BE
0.790
0.963
11 PGS
0.865
0.954
12 HE
0.921
0.888
14 LLL
0.765
0.729
16 GGPP
0.825
0.947
19 WSC
0.799
0.851
21 DEC
0.780
0.947
22 FUEL
0.615
0.733
24 IYP
0.780
0.961
26 PWI
0.895
0.914
27 IE
0.874
0.980
33 UUW
0.770
0.903
32 SUW
0.790
0.841
38 NCD
0.826
0.857
42 CRIMES
0.889
0.970
Emissions and income (19.1%)
23 PIB
0.651
0.679
30 CO 2
0.860
0.760
28 NO X
0.867
0.847
29 PM 10
0.625
0.507
25 AMS
0.748
0.651
Accidents and fires (10.1%)
5 DCA
0.513
0.459
40 RFF
0.869
0.772
Extraction method: principal components. Varimax rotation with Keiser Normalization. Extraction
criterion: eigenvalues > 1. Total variance explained by extracted components: 83.5%; KMO = 0.935