Vulnerability Analysis and Passenger Source Prediction in Urban Rail Transit Networks
Figure 3
Passenger flow in the URT networks.
(a) In the San Francisco URT network, the colors indicate the passenger flow of URT segment . (b) Same as (a) but for the Boston URT network. (c) The passenger flow follows a power-law distribution
(
) with
(
) in San Francisco (Boston). (d) In San Francisco, the betweenness centrality
can be approximated by a Gaussian distribution
(
). In Boston, the betweenness centrality
can also be approximated by a Gaussian distribution
(
). (e) Low correlations were observed between passenger flow
and the betweenness centrality
. The topology of the Boston URT network was found to have a greater effect on shaping the passenger flow distribution than that of the San Francisco URT network did (PCC = 0.79).