An Econometric Dynamic Model to estimate passenger demand for air transport industry

Abstract In this paper, we propose an Econometric Dynamic Model (EDM) to estimate pax demand. We apply the panel data Arellano-Bover method to calibrate the EDM, which is validated by the Sargan test and the Arellano-Bond Autocorrelation test. We propose a forecasting approach using the EDM to foresee pax demand. Finally, we show an application of the EDM by proposing an approach to solve the Airline Airport Hub (AAH) location problem. The case study is about the Mexican air transport industry, AAHs are identified for each predicted year.

[1]  Vladimir Marianov,et al.  Location models for airline hubs behaving as M/D/c queues , 2003, Comput. Oper. Res..

[2]  Zhang Wei,et al.  Passenger traffic forecast based on the Grey-Markov method , 2009, 2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009).

[3]  Chris Chatfield,et al.  The Holt-Winters Forecasting Procedure , 1978 .

[4]  Tae Hoon Oum,et al.  Air Transport Liberalization and Its Impacts on Airline Competition and Air Passenger Traffic , 2009, Transportation Journal.

[5]  Martin J. Beckmann,et al.  Airline demand: An analysis of some frequency distributions , 1958 .

[6]  F. Diebold,et al.  Comparing Predictive Accuracy , 1994, Business Cycles.

[7]  Howard Grubb,et al.  Long lead-time forecasting of UK air passengers by Holt-Winters methods with damped trend , 2001 .

[8]  Rafael Bernardo Carmona Benítez,et al.  Bootstrap Estimation Intervals Using Bias Corrected Accelerated Method to Forecast Air Passenger Demand , 2015, ICCL.

[9]  Peter R. Winters,et al.  Forecasting Sales by Exponentially Weighted Moving Averages , 1960 .

[10]  José Manoel de Seixas,et al.  Forecasting the air transport demand for passengers with neural modelling , 2002, VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings..

[11]  Chaug-Ing Hsu,et al.  Application of Grey theory and multiobjective programming towards airline network design , 2000, Eur. J. Oper. Res..

[12]  P. Rietveld,et al.  Comparative study of hub airports in Europe: ticket prices, travel time and rescheduling costs , 2000 .

[13]  Gang Yu,et al.  AIRLINE NETWORK DESIGN AND HUB LOCATION PROBLEMS , 1996 .

[14]  R. B. Carmona Benitez.  The Design of a Large Scale Airline Network , 2012 .

[15]  João Lemos Nabais,et al.  Damp trend Grey Model forecasting method for airline industry , 2013, Expert Syst. Appl..

[16]  Alok Bhargava,et al.  Estimating Dynamic Random Effects Models from Panel Data Covering Short Time Periods , 1983 .

[17]  Guoqiang Shen,et al.  Reverse-fitting the gravity model to inter-city airline passenger flows by an algebraic simplification , 2004 .

[18]  James F. Campbell,et al.  Integer programming formulations of discrete hub location problems , 1994 .

[19]  Andreas Papatheodorou,et al.  Leisure travel in Europe and airline business models: A study of regional airports in Great Britain , 2006 .

[20]  Frank S. Koppelman,et al.  Modeling aggregate air-travel itinerary shares: logit model development at a major US airline , 2003 .

[21]  M. Arellano,et al.  Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations , 1991 .

[22]  Cheng Hsiao,et al.  Estimation of Dynamic Models with Error Components , 1981 .

[23]  P. Hansen.  A Test for Superior Predictive Ability , 2005 .

[24]  Ta-Hui Yang,et al.  Stochastic air freight hub location and flight routes planning , 2009 .

[25]  Vassilios A. Profillidis,et al.  Econometric and fuzzy models for the forecast of demand in the airport of Rhodes , 2000 .

[26]  Franz Rothlauf,et al.  Gravity models for airline passenger volume estimation , 2007 .

[27]  A. Kanafani,et al.  AIRLINE HUBBING : SOME IMPLICATIONS FOR AIRPORT ECONOMICS , 1985 .

[28]  Peter Schmidt,et al.  Efficient estimation of models for dynamic panel data , 1995 .

[29]  R de Neufville,et al.  AIRPORT SYSTEMS PLANNING , 1976 .

[30]  M. Wolters,et al.  Comparative analysis of government forecasts for the Lisbon Airport , 2010 .

[31]  M. Arellano,et al.  Testing for Autocorrelation in Dynamic Random Effects Models , 1990 .

[32]  E. S. Gardner,et al.  Seasonal exponential smoothing with damped trends , 1989 .

[33]  R. Blundell,et al.  Initial Conditions and Moment Restrictions in Dynamic Panel Data Models , 1998 .

[34]  William M. Swan.  Airline route developments: a review of history , 2002 .

[35]  Cherng-Chwan Hwang,et al.  Analyzing air cargo flows of international routes: an empirical study of Taiwan Taoyuan International Airport , 2011 .

[36]  S. Srinidhi,et al.  Development of an airline traffic forecasting model on international sectors , 2009, 2009 IEEE International Conference on Automation Science and Engineering.

[37]  Douglas C. Montgomery,et al.  Forecasting and time series analysis , 1976 .

[38]  M. Arellano,et al.  A NOTE ON THE ANDERSON-HSIAO ESTIMATOR FOR PANEL DATA , 1989 .

[39]  M. Arellano,et al.  Another look at the instrumental variable estimation of error-components models , 1995 .

[40]  Turgut Aykin,et al.  The hub location and routing problem , 1995 .