Guimerà,
R, Mossa, S, Turtschi, A & Amaral, LAN
Proc. Natl. Acad. Sci. U. S. A. 102,
7794-7799 (2005).
The worldwide air transportation network is responsible for the mobility of millions of people every day. Almost 700 million passengers fly each year, maintaining the air transportation system ever so close to the brink of failure. For example, US and foreign airlines schedule about 2,700 daily flights in and out of O'Hare alone, more than 10% of the total commercial flights in the continental US, and more than the airport could handle even during a perfect "blue-sky" day. Low clouds, for example, can lower landing rates at O'Hare from 100 an hour to just 72 an hour, resulting in delays and flight cancellations across the country. The failures and inefficiencies of the air transportation system have large economic costs; flight delays cost European countries 150 to 200 billion Euro in 1999 alone.
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Figure 1. Left, Boeing 747 landing. Right, Cities in the worldwide air transportation system. Different colors indicate membership in different communities. |
These staggering numbers prompt several questions: What has led the system this close to the brink of failure? Why haven't planners designed a better system? In order to answer these questions, it is crucial to characterize the structure of the world-wide air transportation network and the mechanisms responsible for its evolution. This problem is, however, far from simple. The structure of the air transportation network is mostly determined by the concurrent actions of airline companies---both private and national---that try, in principle, to maximize their immediate profit. However, the structure of the network is also the outcome of numerous historical "accidents" arising from geographical, political, and economic factors.
Many interconnected systems can be mathematically described as
scale-free networks, of which the Internet is an example. In these
systems, connectivity is unbalanced: a few nodes are highly connected
with others, while most are only sparsely connected. In this study, we analized
direct connections between cities from the OAG MAX
database, which catalogues the schedule flights of more than 800 of
the world's airlines. Specifically, we considered over 500,000 flights
between 27,000 pairs of cities scheduled during the first week of
November 2000. We demonstrate that the worldwide air
transportation network is a scale-free network, like the Internet.
Yet, unlike what is expected for scale-free networks, the air transportation network's busiest hubs are not necessarily the most important. For example, although Paris and Frankfurt have similar traffic levels, Paris is more important for maintaining worldwide connectivity. We have determined this is because the global network is actually comprised of smaller communities defined by political as well as geographic considerations.
Post scriptum: Airports and national airline companies are
often times associated with the image a country or region wants to
project. For this reason, many measures---including total number of
passengers, total number of flights, or total amount of
cargo---quantifying the importance of the world airports are compiled
and publicized. For those interested, we append ranked lists with connectedness and
centrality of
the cities in the database.
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