Evaluation of a centralised transportation assistance system for passengers with special needs at a Canadian airport

Transportation assistance for travellers with special needs (e.g., disabled, sick, elderly, unaccompanied minors) is provided at most airports, and the demand for this service is increasing every year. At most airports, air carriers are independently responsible for this service, and they set their own service levels and practices. We expect that a centralised system would increase resource efficiency and passenger satisfaction. We conduct an evaluation of such a centralised system at a Canadian airport using two distinct and independent models: simulation and queuing. We find that consolidating the service produces higher levels of service quality for passengers while, at the same time, uses fewer resources. We also discuss the pros and cons of a centralised system from the perspectives of the airport authority, the airlines, and the passengers. Our methodology may be applied to other airports worldwide to evaluate a centralised transportation assistance system for passengers with special needs.

[1]  Yu-Chun Chang,et al.  Service needs of elderly air passengers , 2012 .

[2]  Yu-Chun Chang,et al.  Meeting the needs of disabled air passengers: Factors that facilitate help from airlines and airports , 2012 .

[3]  Vojin S. Tosic,et al.  A review of airport passenger terminal operations analysis and modelling , 1992 .

[4]  Dennis F. X. Mathaisel Decision support for airline system operations control and irregular operations , 1996, Comput. Oper. Res..

[5]  Yu-Chun Chang,et al.  Identifying mobility service needs for disabled air passengers , 2011 .

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

[7]  Joseph I. Daniel,et al.  Congestion Pricing and Capacity of Large Hub Airports: A Bottleneck Model with Stochastic Queues , 1995 .

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

[9]  T. Coles,et al.  Disability, holiday making and the tourism industry in the UK: a preliminary survey , 2004 .

[10]  J. Pacheco,et al.  Heuristical labour scheduling to optimize airport passenger flows , 2005, J. Oper. Res. Soc..

[11]  Massoud Bazargan,et al.  A linear programming approach for aircraft boarding strategy , 2007, Eur. J. Oper. Res..

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

[13]  Riccardo Manzini,et al.  Designing production and service systems using queuing theory: principles and application to an airport passenger security screening system , 2010 .

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

[15]  S. C. Wirasinghe,et al.  Level of Service Analysis for Airport Baggage Claim with a Case Study of the Calgary International Airport , 2010 .

[16]  David Pisinger,et al.  Synchronized dial-a-ride transportation of disabled passengers at airports , 2013, Eur. J. Oper. Res..

[17]  Cynthia Barnhart,et al.  Applications of Operations Research in the Air Transport Industry , 2003, Transp. Sci..

[18]  Saleh A Mumayiz,et al.  OVERVIEW OF AIRPORT TERMINAL SIMULATION MODELS , 1990 .

[19]  Amedeo R. Odoni,et al.  Models and algorithms for transient queueing congestion at airports , 1995 .

[20]  K. McFadden,et al.  A study of the airline boarding problem , 2008 .