The
most important inter-regional growth patterns of last year are led by Asia . Traffic between Asia and Europe, and between Asia
and North America , grew by 9%. Traffic between
Asia and the Middle East grew 6% reaching 38
million travellers in the year. Compared with the previous year, 2% fewer
passengers travelled between Africa and Europe
in 2011; this was the only region pair with a significant traffic flow decrease
over the period.
Traffic
between North America and Europe remains the busiest inter-regional flow with
over 60 million passengers in 2011, followed by Asia and Europe with over 53
million, and Latin America and North America
with 47 million passengers.
In
terms of connecting traffic, over 50% of all passengers in the triangle between
Asia, Europe and North America change aircraft
at least once. On the other hand, only 7% of all passengers travelling within
Asia travel with a connecting flight, compared to 10% in Europe and 31% in North America . The largest airports in Asia
have a lower percentage of connecting traffic than the North American and
European hubs. The average connecting rate of the ten busiest airports in Asia
is 19% compared with 32% for the top ten hubs in Europe and 45% in North America .
The 2011
country statistics reveal, unsurprisingly, that the strongest growth in
absolute passengers is led by the BRIC countries. China
registered an additional 19 million in 2011 than 2010, Brazil , 12 million, India
8 million and Russia
6 million. Indonesia
was the 5th strongest growth market with an additional 5 million passengers in
2011.
It
is interesting to note that the strongest traffic in between cities takes place
within the same country. From the world’s top ten inter-city routes, seven are
within the domestic borders of Asian countries, out of which three are in Japan . In terms
of volume, the route between Jeju and Seoul is
the most important (almost 10 million passengers) followed by Rio de Janeiro
and Sao Paulo
(circa 8 million passengers).
Amadeus
Total Demand is able to provide detailed demand data for any origin and
destination pair in the world. Data is mined from a large number of sources
including commercial and government airline and airport traffic statistics as
well as major GDSs. The data is then processed by a cutting edge computing
algorithm and robustly tested to ensure the highest accuracy of results.