The development of improved models of air travel demand at a market
and national level, as well as many other analyses that form the
basis of local, regional and state airport system planning, requires
information on the characteristics of the air passenger trips
that comprise the existing pattern of air travel. While detailed
information on the number of these trips, together with the airlines
used, fares paid and trip itineraries, is available from the data
reported to the U.S. Department of Transportation by airlines,
very little is known about the purpose pf these trips and other
characteristics of the air parties involved, such as their income,
occupation, travel party size, day and time of travel, trip duration,
and so forth. None of this information is currently reported by
the airlines and indeed much of it is not even known by them.
The only practical way to get most of this information is to ask
the travelers themselves through an air passenger or household
survey.
Such
surveys are routinely conducted by airport authorities, regional
planning agencies, and others, but the results are not readily
available at a national level. Furthermore, since these surveys
are performed at different times, using different survey instruments
and different sample sizes, combining the results of such surveys
is technically challenging, even after the hurdle of actually
locating and obtaining the data has been overcome. Some of the
challenges involved in undertaking air passenger surveys and making
use of the results of such surveys were discussed at a recent
workshop on Air Passenger Survey Methodology, which was held as
part of the Transportation Research Board Annual Meeting in January
2004. Among the issues addressed at the workshop were the need
to be able to combine the results of surveys at different airports
in order to support regional aviation system planning and a proposed
research agenda in air passenger survey methodology in order to
develop improved guidance on the design and conduct of future
surveys.
In
order to address these needs, access to, and the use of, air passenger
data would be greatly facilitated by a national archive of air
passenger survey results, together with appropriate information
on the survey methodology used. The ability to compare the results
of local surveys with those conducted elsewhere would provide
some incentive to airport authorities and other agencies to contribute
their survey results to such an archive. They would also benefit
from the results of research into survey methodology and other
airport planning issues that would be enabled by such an archive.
For
ease of access to the resulting data, it is envisaged that a national
archive would be implemented as a web-based database. Password
protection could be provided to control access to selected parts
of the database, if this is found to be desirable. However, there
are many technical, logistical and cost questions that would need
to be answered before such an archive could be effectively implemented.
In order to answer those questions, as well as explore the practicalities
and usefulness of such an archive, at the request of FAA Office
of Airport Planning and Programming (APP-400) the Airport Technology
Branch of the FAA Technical Center is funding the National Center
of Excellence for Aviation Operations Research (NEXTOR) to research
the feasibility and potential benefits of the development of a
web-based national database of air passenger travel characteristics
from air passenger surveys conducted by airport authorities, regional
planning agencies and others.
As
part of this research, NEXTOR will identify sources of air passenger
survey data and previous attempts to integrate data from multiple
surveys, define an operational concept for a national database
of air passenger survey data, and undertake a proof of concept
study that will develop a web-based prototype database of selected
air passenger survey data and undertake representative analysis
of air passenger survey data that combines information from multiple
surveys.
The
project is being performed under the direction of Prof. Mark Hansen
with technical support from Dr. Geoffrey Gosling of Aviation Systems
Consulting, LLC.