Article Overview: We study the temporal evolution of the structure of the world’s largest subway networks. We show that, remarkably, all these networks converge to a shape which shares similar generic features despite their geographic and economic differences.
Free Download - Sorry, You Can’t Be My Online Friend By Paul Kedrosky
All Happy Subways are Alike
Long-time limit of world subway networks
Camille Roth, Soong Moon Kang, Michael Batty, Marc Barthelemy
We study the temporal evolution of the structure of the world’s largest subway networks. We
show that, remarkably, all these networks converge to a shape which
shares similar generic features despite their geographic and economic
differences. This limiting shape is made of a core with
branches radiating from it. For most of these networks, the average
degree of the core has a value of order 2.5, slowly increases with time
and displays small fluctuations. The current proportion of branches
represents about 40% of the total number of stations and the average
diameter of branches is about twice the average radial extension of the
core. Spatialmeasuressuch as the number of stations at a given
distance r to the barycenter display a first regime growing as r^2
followed by another regime with different exponents. These results —
which are difficult to interpret in the framework of fractal geometry —
confirm and find a natural explanation in the core and branches
picture: the first regime corresponds to a uniform core, while the
second regime is controlled by the interstation spacing on branches.
The existence of a unique network shape in the temporal limit suggests
the existence of dominant, universal mechanisms governing the evolution
of these structures.
Indeed, for some of the networks — such as Moscow,
Seoul, and Shanghai — we observe larger differences with respect to the
average, limiting network. In the case of Moscow, its core appears over-developed compared to its branches.
This network has resulted basically from a well-dened design and it is
expected that it does not follow the same rules that govern networks
evolving over a longer period which often appear to evolve in as
lightly more self-organized manner. In the case of Seoul and Shanghai,
it seems that their relatively young age could explain why they have
not yet reached the longtime limit. We can note here that the least
expensive way for these almost mature networks to reach the
well-balancedlong timelimit is by constructing the minimum number of
stations and lines and this then suggests that Seoul and
Shanghai need to increase their core density hence the value of (t)
(by adding inter-branches links for example) and Moscow needs to
increase the number of its branches. It will be interesting to observe their future evolution.
Dr. Kedrosky is currently the Executive Director of the William J. von Liebig Center in San Diego, California. Using an innovative seed capital program, the Center catalyzes the commercialization of technologies from the internationally-ranked University of California, San Diego. Dr. Kedrosky is also a venture investor with Ventures West, Canada's largest institutional venture capital firm, where he is most active in consumer technologies and software. He is currently on the board of Marqui Corporation, a marketing automation software company.
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