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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

A Study on Relationship between Metropolitan Population and Airport Yearly Enplanement-Based on the Airports in the Mainland of the United States

Yu, Heng-Tsung 19 January 2009 (has links)
Nowadays, the aviation technology has become much reliable than ever, and air transportation is by far the best choice for long distance transportation. Airports serve as the flight nodes for air transportation, and the construction and development of airports are often considered as the most important development plans of the entire country or the local government. The huge amount of cost for constructing an airport and the long (usually more than fifty years) life cycle demand a comprehensive plan in the initial stage of an airport construction. Underestimating the transportation demand of the airport may make it difficult to extend the airport in the future and affect its subsequent operations. On the other hand, overestimating the transportation demand of the airport may result in over-investment and poor operation performance. Around the world, airports are often considered as enterprises. The governments and airport administrators have begun to pay attention to the operation performance of airports and adopt every indicator of the conduct in order to carry on the performance assessment. By doing so, they hope to reduce the operating cost, increase profit, and enlarge their competition advantages. Of the indicators of the operation performance, yearly enplanement has widely been considered as a key indicator. This research collected the data pertaining to commercial airports in the mainland of the United States whose yearly enplanements are over 2,500 passengers. It employs statistical method and decision tree to analyse the relationship between the population change of the metropolitan (population, density of population, population change, etc.) and the yearly enplanement change of airports. Also, we discuss the relationship among the number of airports in a metropolitan, the distance from an airport to the closest business center, the distance from the airport to another nearest airport, and the yearly enplanement change of the airport.

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