A Study on Forecasting Potential Primary Hub Cities for Air Passenger Transport
| Autor: | Chung-Wei Kuo, 郭仲偉 |
|---|---|
| Rok vydání: | 2008 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 96 Air hub can not only stimulate the consistently economical development of the city where the hub is located, but also is the foundation of whole national development. A formation of a large-hub primary city for air passenger transport certainly has an enormous power pushing behind. In addition to the influence of subjective consciousness of the city itself, it also has some advantages to speed this formationt. It is therefore our main purpose to investigate Scalable factors influencing the formation of large-hub primary city for air passenger transport in the United States by using binary logit models. The results show that metropolitan population and Gross Domestic Product are two significant factors that influence the large-hub primary city formation. Tourist resource also is one of the main factors. Finally, updating techniques are carried out to perform the investigation of time and space effects, and measures of transferability are used to judge whether models can be transferred either in time or space. The results show that for temporal transferability, the best method is combined transfer estimation and Bayesian updating. For spatial transferability, the best method is corrected alternative specific constants and the parameter scaling. Be evaluating China potential large-hub primary city for air passenger transport of 2005, the research shows that 6 cities are Shanghai, Beijing, Guangzhou, Shenzhen, Hangzhou and Tienjin. Respectively, the potential large-hub primary city for air passenger transport of 2010, evaluate possible have 10 cities, include Shanghai, Beijing, Guangzhou, Shenzhen, Hangzhou, Tienjin, Chengdu, Nanking, Wuha, and Dalian. The results obtained from this study can provide a reference on how large-hub primary city for air passenger transport is forming. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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