摘要: |
An airport’s catchment area is the area around an airport from which it can reasonably expect to attract customers. An accurate estimation of an airport’s catchment area enables operators and airlines to make informed decisions, target potential markets, and aid in forecasting activity. An airport’s catchment area is dynamic, may change over time, and is influenced by many factors, including ground access, air service and airfares, distance from population centers, demographics, and proximity to other airports. An airport may even have distinct catchment areas for different passenger market segments (e.g., business travel, international travel). Often, an airport must rely on costly and time-consuming approaches to estimate its catchment areas.
Emerging technologies are reimagining and reinventing the industry. Such tools may help airports determine their catchment areas that may still be largely unrealized and untested. While many airports have defined catchment areas from prior studies, research is needed to guide airports on the application of these tools and other methodologies that can better reflect emerging trends, optimize increasingly limited resources, and aid airports to better establish their catchment areas.
The objective of this research is to develop a toolkit that will help an airport establish their unique catchment area. The toolkit should include a guide to utilizing resources, in addition to providing analytical methods and approaches that would best map a catchment area. At a minimum, the toolkit should include resources that:
(1) Assess the potential effects and trends that may determine a catchment area;
(2) Create methodology and catchment area models to address identified effects and trends. Such methodology and models should be defendable to a variety of stakeholders (i.e., airlines, local board or advisory committee, etc.);
(2) Are easily used and understood by practitioners with varying degrees of expertise;
(3) Contain data that is utilized by the airlines; and
(4) Encompass data collected from new and emerging technology.
The guide should do the following::
(1) Define and explain the resources included in the toolkit;
(2) Provide steps on how to use the resources, such as cleaning, verifying, and visualizing the data; and
(3) Address the adaptability of the data sources that may be updated and maintained from time to time. |