| Summary: | 碩士 === 國立交通大學 === 運輸科技與管理學系 === 92 === Airport passenger terminal is an interface of airside and landside operations. Tightly scheduled flights and processes are its significant characteristics. The demand for air transportation increases rapidly with the trend of globalization and international trade, while the expansions of airport terminals are usually limited due to the constraints of land and noise abatement. Therefore, how to increase the efficiency of passenger processing in the existing terminals has become an important issue. The departure process in the passenger terminal is very important as it is complicated and related to the punctuality of departure flights and the connectivity of connecting flights. Once there occur any incidents or additional requirements on any of departure process frequently incur delay and delay propagation on interrelated process in the terminals, even blocked the whole air transportation system. The security check due to 911 events and passenger health investigation due to SARS are the recent examples.
This study develops models on analyzing the delay propagation and control strategies in the departure process of passenger terminal. First, the study develops analytical queuing models on process delay propagation on different types of servers and connections classified by serving single or multiple flights. The study further examines the relationships of consecutive servers and processes to analyze the evolution of the delay propagation. Second, the study further develops an algorithm based on label correcting algorithm to find the critical departure process, which shows the longest process path and time of each flight. Furthermore, the study formulates delay cost functions for passengers, airline, and airport operators and proposes control strategies to minimize delay and delay propagation in the passenger departure process. The proposed strategies include set up the close time for each flight in each process, providing the extra server, and the initiating priority service for the emergent flight. The study also analyzes the degrees of delay propagation for different types of process layout, such as 911 and SARS, etc.
Finally, the study uses CKS passenger terminal as an example to demonstrate the application and feasibility of the developed models. The results show that delay can be dispersed between un-consecutive servers due to spatial buffer, and to advance the open time for half an hour in departure process would alleviate the possible delay propagations. Moreover the study further conducts sensitive analyses of cost parameters on control strategies. The results show that the ration of delay cost decreases with delay-improved benefit increasing, and the degree of the ration of delay cost increases with the scale of delay-improved benefit increasing. The results of this study provide guidances on designing airport passenger terminal process and controlling process delay in practice.
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