Control strategies for departure process delays at airport passenger terminals

This paper explores the characteristics of process delays at airport passenger terminals and establishes a queuing model for both passengers and baggage served by different connecting type facilities. The impact of delay propagation on other processes and flights is investigated using an analytical approach. In addition, the extra costs incurred on passengers, process operators, and airlines are examined using the delay cost functions. To reduce the impact of process delays, various delay-controlled strategies are proposed, such as setting scheduled times for completion of a process, increasing the number of service counters, and priority service for emergent flights. Taoyuan International Airport in Taiwan is used as a case study when facing special events. Results showed that the model can effectively and efficiently estimate delay propagation and its costs. In addition, processes that are not consecutive allow more buffer time between different operations, which helps ease propagation of delays caused by previous services.

[1]  King Jim Hee,et al.  An airport passenger terminal simulator: A planning and design tool , 1998, Simul. Pract. Theory.

[2]  Shangyao Yan,et al.  A model and a solution algorithm for airport common use check-in counter assignments , 2004 .

[3]  Russell C. H. Cheng,et al.  Some effects of aircraft arrival sequence algorithms , 2009, J. Oper. Res. Soc..

[4]  Cheng-Lung Wu,et al.  Aircraft operational costs and turnaround efficiency at airports , 2000 .

[5]  Hendrik Van Landeghem,et al.  Reducing passenger boarding time in airplanes: A simulation based approach , 2002, Eur. J. Oper. Res..

[6]  Giovanni Andreatta,et al.  An operations research model for the evaluation of an airport terminal: SLAM (simple landside aggregate model) , 1999 .

[7]  Mark Hansen Micro-level analysis of airport delay externalities using deterministic queuing models: a case study ☆ , 2002 .

[8]  Chuag-Ing Hsu,et al.  FLIGHT-DELAY PROPAGATION AND CONTROL STRATEGIES. , 2003 .

[9]  Jacques Desrosiers,et al.  AN OPTIMIZATION MODEL FOR A REAL-TIME FLIGHT SCHEDULING PROBLEM , 2002 .

[10]  Amedeo R. Odoni,et al.  Passenger terminal design , 1992 .

[11]  C A Chung,et al.  SIMULTANEOUS SERVICE APPROACH FOR REDUCING AIR PASSENGER QUEUE TIME. TECHNICAL NOTE , 2000 .

[12]  Mahmoud Saffarzadeh,et al.  Optimum Design and Operation of Airport Passenger Terminal Buildings , 2000 .

[13]  Prianka N. Seneviratne,et al.  Space Standards for Sizing Air-Terminal Check-in Areas , 1995 .

[14]  Frank Southworth,et al.  ESTIMATING DEPARTURE TIMES FROM TRAFFIC COUNTS USING DYNAMIC ASSIGNMENT , 1992 .

[15]  Piet Rietveld,et al.  Quality of hub-and-spoke networks; the effects of timetable co-ordination on waiting time and rescheduling time , 2001 .

[16]  José Reynaldo Setti Passenger terminal simulation model , 1992 .

[17]  Giuseppe Bellei,et al.  Network pricing optimization in multi-user and multimodal context with elastic demand , 2002 .

[18]  Richard de Neufville,et al.  Airport Passenger Buildings: Efficiency through Shared Use of Facilities , 2002 .

[19]  Eric V. Denardo,et al.  Flows in Networks , 2011 .

[20]  Alexandre G. de Barros,et al.  Quantitative analysis of passenger and baggage security screening at airports , 2007 .