Title | Exploring factors affecting airport direct connections |
Year | 2018 |
Degree | Master |
School | Department of Transportation and Logistics Management National Chiao Tung University |
Author | |
Summary | Over the past decade, air transport networks in the Asia-Pacific region have developed rapidly, and airport direct connectivity has expanded remarkably; for airport operators and airlines, it might be important to understand the driving force behind this expansion. Thus, this study intends to explore the factors that affect airport direct connectivity, specifically, the relationship between airports’ direct connections and associated factors such as distance between airports, airport traffic, effect of hubs, national carriers’ fleet sizes, etc. Using Innovata 2016 flight data and collected factor data, logistic regression models were developed, and as expected, the results showed that the major positive influences on airport direct connections are the competitiveness of the countries and cities where airports are located, airport traffic volume, the primary airports in multi- airport metropolitan areas, and the fleet sizes of home-base carriers. In contrast, the factors with negative effects include route distance, the number of hub airports available along the route, and the secondary airports in multi-airport areas. Overall, the model explained approximately 88% of the route samples, and the findings suggested that the model adequately interpreted the causal relationships between airport direct connections and the associated factors; the model could be applied to develop and evaluate potential airport markets and to promote these potential markets to candidate airlines. |
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