Geoscience Reference
In-Depth Information
Table 15.3 Clusters' mobile traffic properties.
We report the relative areas covered by each
cluster presented in Figs.
15.6
a-
15.8
a, as well as their share of total activities (obtained by
summing the unnormalized signatures A
i
of the cluster's pixels)
Cluster
Area (%)
DL data (%)
UL data (%)
Request (%)
Calls (%)
SMS (%)
Greater London
1(Red)
6.3
21.2
24.0
30.7
23.4
24.0
2 (Orange)
11.1
17.2
18.5
14.8
17.7
16.6
3(Blue)
27.3
22.6
22.1
19.5
22.4
21.5
4 (Green)
23.3
15.6
13.6
14.4
15.0
14.7
5 (Pink)
18.8
12.2
11.6
10.3
11.0
11.4
6(Pastel)
11.5
6.4
5.7
5.4
5.4
5.8
New York
1(Red)
3.9
8.7
11.0
10.9
8.7
8.1
2 (Orange)
10.4
8.9
10.0
9.7
8.5
8.3
3(Blue)
32.1
24.7
24.4
24.1
24.3
24.8
4 (Green)
42.9
55.8
52.8
53.5
56.3
56.9
5(Pastel)
7.6
1.2
1.2
1.2
1.4
1.3
6 (pink)
2.8
0.6
0.6
0.5
0.7
0.6
Hong Kong
1(Red)
5.4
7.6
7.4
9.3
11.2
10.7
2 (Orange)
15.0
19.4
18.5
20.6
19.6
20.7
3(Blue)
7.3
23.8
24.7
22.0
27.0
22.8
4 (Green)
25.8
12.5
12.2
12.5
9.8
10.2
5 (Pink)
23.0
25.9
25.4
26.8
24.0
22.4
6(Pastel)
19.7
8.5
9.3
6.9
6.7
11.0
Tab le
15.4
confirm that the areas covered by cluster 1 correspond to Business
and Commercial land use.
Cluster 2 (in orange). Compared to the average cities' signatures, orange clusters
are characterized by higher levels of activity during weekday working hours and
lower activity level in the weekend, similar (but to a lower extent) than what
happens in cluster 1. On London and New York maps, these clusters mostly
surround the red ones (notice also that in London the orange cluster covers
Heathrow Airport on the western side of Greater London). Based on these
characteristics orange clusters could be identified as commercial areas. This is
confirmed by the confusion matrices, reporting low to average residential land
use and higher than average Business land use in these clusters.
Cluster 3 (in blue). These clusters have signatures similar to those of residential
cluster 4, but with smaller deviations from the corresponding city signatures.
These features suggest, as baked up by land use data, to interpret these clusters
as a mixed area with strong residential component.
Cluster 4 (in green). Compared to the average cities' signatures, these clusters
display higher activity level at night and lower activity level on Monday to Friday
business hours. The curves showing the deviations of their signatures compared
Search WWH ::
Custom Search