Influencing factors on airplane boarding times

Abstract The topic of airplane boarding is receiving increasing attention in practice and in the scientific literature. Shorter boarding times can reduce the time an airplane spends at the gate (the airplane turn-around time), resulting in annual cost savings of several hundred thousand dollars per airplane. Although several researchers have analyzed the boarding process purely theoretically or with simulation models, little empirical research has been performed, even though empirical research is the basis for any theoretical or simulation model. In this paper, we provide the fundamentals for this research area by presenting the results of an empirical study conducted at a large European airport. The aim of this study is to determine whether and to what extent certain factors, such as the number of passengers, the capacity of the airplane, and the amount of carry-on baggage, influence boarding times. Boarding times and additional data for short- and medium-haul flights with single-aisle airplanes have been manually collected in a field study and analyzed. The analyses yield the counter-intuitive result that a significant effect on the boarding time of a flight by the average amount of carry-on baggage per passenger cannot be demonstrated. Finally, we develop a regression model to predict boarding times based on the number of passengers and the capacity of the airplane. This straightforward model explains more than 85% of the variance in the boarding time and could therefore easily be used in the daily business of an airline to estimate the expected boarding times per flight. Furthermore, we compare our regression model to various simulation and analytical models as well as other empirical data for validation and out-of-sample testing.

[1]  Nima Safaei,et al.  Aircraft routing with generalized maintenance constraints , 2017, Omega.

[2]  Miquel Angel Piera,et al.  Robust gate assignment procedures from an airport management perspective , 2015 .

[3]  Rainer Kolisch,et al.  Obtaining the optimal fleet mix: A case study about towing tractors at airports , 2015 .

[4]  Mm Etschmaier,et al.  Operations research in the management of the airlines , 1974 .

[5]  Ziyou Gao,et al.  Mechanism behind phase transitions in airplane boarding process , 2016 .

[6]  Theo Horstmeier,et al.  Influence of ground handling on turn round time of new large aircraft , 2001 .

[7]  Lou Caccetta,et al.  An aircraft boarding model accounting for passengers' individual properties , 2012 .

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

[9]  Michael Schultz,et al.  Implementation and application of a stochastic aircraft boarding model , 2018 .

[10]  Cynthia Barnhart,et al.  Airline Schedule Planning: Accomplishments and Opportunities , 2004, Manuf. Serv. Oper. Manag..

[11]  Graham Tanner,et al.  European airline delay cost reference values , 2011 .

[12]  S. Holm A Simple Sequentially Rejective Multiple Test Procedure , 1979 .

[13]  Michael Schultz,et al.  Field Trial Measurements to Validate a Stochastic Aircraft Boarding Model , 2018 .

[14]  Peter D. DeVries Airline passenger information systems and process improvements , 2009, Int. J. Serv. Stand..

[15]  Themistoklis Giitsidis,et al.  Modeling passengers boarding in aircraft using cellular automata , 2016, IEEE/CAA Journal of Automatica Sinica.

[16]  Mark E. Ferguson,et al.  Do Bags Fly Free? An Empirical Analysis of the Operational Implications of Airline Baggage Fees , 2017, Manag. Sci..

[17]  Andrew J. Cook,et al.  The cost of delay to air transport in Europe: quantification and management , 2009 .

[18]  Il,et al.  Experimental test of airplane boarding methods , 2011, 1108.5211.

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

[20]  Yury Nikulin,et al.  Flight gate scheduling: State-of-the-art and recent developments , 2007 .

[21]  Shannon W. Anderson,et al.  The Impact of Service Operations Failures on Customer Satisfaction: Evidence on How Failures and Their Source Affect What Matters to Customers , 2007, Manuf. Serv. Oper. Manag..

[22]  Gary L. Hogg,et al.  America West Airlines Develops Efficient Boarding Strategies , 2005, Interfaces.

[23]  Stanislao Grazioso,et al.  A fast airplane boarding strategy using online seat assignment based on passenger classification , 2016 .

[24]  Kai Nagel,et al.  Robustness of Efficient Passenger Boarding Strategies for Airplanes , 2005 .

[25]  Pau Fonseca Casas,et al.  Using simulation to compare Aircraft Boarding Strategies , 2013 .

[26]  Steven Skiena,et al.  Analysis of Airplane Boarding Times , 2009, Oper. Res..

[27]  Albert Steiner,et al.  Speeding up the airplane boarding process by using pre-boarding areas , 2009 .

[28]  R. John Milne,et al.  A new method for boarding passengers onto an airplane , 2014 .

[29]  Jean-François Cordeau,et al.  Benders Decomposition for Simultaneous Aircraft Routing and Crew Scheduling , 2000, Transp. Sci..

[30]  Erwin Pesch,et al.  Modelling Robust Flight-Gate Scheduling as a Clique Partitioning Problem , 2008, Transp. Sci..

[31]  Milind G. Sohoni,et al.  Building Reliable Air-Travel Infrastructure Using Empirical Data and Stochastic Models of Airline Networks , 2013, Oper. Res..

[32]  Edmund K. Burke,et al.  Addressing the Pushback Time Allocation Problem at Heathrow Airport , 2013, Transp. Sci..

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

[34]  D. Berend,et al.  Analysis of aeroplane boarding via spacetime geometry and random matrix theory , 2005, physics/0512020.

[35]  G. Box,et al.  Transformation of the Independent Variables , 1962 .

[36]  Jeffrey M. Wooldridge,et al.  Introductory Econometrics: A Modern Approach , 1999 .

[37]  Ziyou Gao,et al.  Reducing airplane boarding time by accounting for passengers' individual properties: A simulation based on cellular automaton , 2014 .

[38]  Artur Kierzkowski The Use of a Simulation Model of the Passenger Boarding Process to Estimate the Time of Its Implementation Using Various Strategies , 2016, DepCoS-RELCOMEX.

[39]  M. Ball,et al.  Total Delay Impact Study: A Comprehensive Assessment of the Costs and Impacts of Flight Delay in the United States , 2010 .

[40]  Ziyou Gao,et al.  Symmetrical design of strategy-pairs for enplaning and deplaning an airplane , 2016 .

[41]  S. Gwynne,et al.  Small-scale trials on passenger microbehaviours during aircraft boarding and deplaning procedures , 2018 .

[42]  Angel A. Juan,et al.  A Simulation Study Regarding Different Aircraft Boarding Strategies , 2013, MS.

[43]  D. Cox,et al.  An Analysis of Transformations , 1964 .