A multi-stage approach to air-rail competition: Focus on rail agency objective, train technology and station access

Abstract This paper proposes a three-stage game-theoretic model to study air-rail competition in intercity passenger corridors. We consider duopolistic markets, in which a rail agency competes against an airline to maximize their respective objectives. The objective of the rail agency can be maximizing profit or social welfare, or a mix of the two. At the top stage, the rail agency first determines the train technology, which presents its most strategic decision. Then the rail agency and the airline compete sequentially on frequency and fare. We find that, from the operational standpoint, high speed rail (HSR) is always the best technology choice, conditional on availability of high speed infrastructure. This is invariant to the objective of the rail agency. The rail agency focusing more on social welfare will benefit passengers through reduced fare and greater frequency. Rail will also gain more demand and a higher market share. Improving rail stations access is found to have significant impact on rail market share. The impact of rail access time on the rail agency's objective diminishes with corridor distance.

[1]  Jan K. Brueckner,et al.  Airline Schedule Competition , 2007 .

[2]  Jia Yan,et al.  An Analysis of Travel Demand in Japan's Intercity Market Empirical Estimation and Policy Simulation , 2014 .

[3]  Piet Rietveld,et al.  Airline's choice of aircraft size-explanations and implications , 2009 .

[4]  I. Glicksberg A FURTHER GENERALIZATION OF THE KAKUTANI FIXED POINT THEOREM, WITH APPLICATION TO NASH EQUILIBRIUM POINTS , 1952 .

[5]  Peter Nijkamp,et al.  Price Elasticities of Demand for Passenger Air Travel , 2001 .

[6]  M. Pilar Socorro,et al.  The effects of airline and high speed train integration , 2013 .

[7]  Michael Abrahams,et al.  A service quality model of air travel demand: An empirical study , 1983 .

[8]  Hun-Koo Ha,et al.  Analysis of the impact of high-speed railroad service on air transport demand , 2006 .

[9]  Jan K. Brueckner,et al.  Network Structure and Airline Scheduling , 2004 .

[10]  Mark Hansen,et al.  Flight delays, capacity investment and social welfare under air transport supply-demand equilibrium , 2012 .

[11]  Steven Edward Eriksen Demand models for U.S. domestic air passenger markets , 1978 .

[12]  Pierluigi Coppola,et al.  An elastic demand schedule-based multimodal assignment model for the simulation of high speed rail (HSR) systems , 2012, EURO J. Transp. Logist..

[13]  Market equilibriums for transport operators with several goals , 2014 .

[14]  Frederick S. Hillier,et al.  Introduction of Operations Research , 1967 .

[15]  X. Vives,et al.  Price and quantity competition in a differentiated duopoly , 1984 .

[16]  Oliver Richard,et al.  Flight frequency and mergers in airline markets , 2003 .

[17]  John F. Frittelli,et al.  The Development of High Speed Rail in the United States: Issues and Recent Events , 2012 .

[18]  Robert Puentes,et al.  A New Alignment: Strengthening America’s Commitment to Passenger Rail , 2013 .

[19]  David Banister,et al.  Speed: the less important element of the High-Speed Train , 2012 .

[20]  Bo Zou,et al.  Flight Delays, Capacity Investment and Welfare under Air Transport System Equilibrium , 2012 .

[21]  Concepción Román,et al.  Competition of high-speed train with air transport: The case of Madrid–Barcelona , 2007 .

[22]  Peter Nijkamp,et al.  Airport and Airline Competition for Passengers Departing from a Large Metropolitan Area , 2000 .

[23]  Jan K. Brueckner,et al.  Airport Noise Regulation, Airline Service Quality, and Social Welfare , 2006, SSRN Electronic Journal.

[24]  Tae Hoon Oum,et al.  Air transport liberalization and airport slot allocation: The case of the Northeast Asian transport market , 2014 .

[25]  Eric Pels,et al.  Low-cost airlines and airport competition , 2009 .

[26]  Chris Nash,et al.  High-Speed Rail & Air Transport Competition: Game Engineering as Tool for Cost-Benefit Analysis , 2008 .

[27]  Anming Zhang,et al.  Effects of high-speed rail and air transport competition on prices, profits and welfare , 2012 .

[28]  Enjian Yao,et al.  A study of on integrated intercity travel demand model , 2005 .

[29]  Matthew J. Higgins,et al.  Estimating flight-level price elasticities using online airline data: A first step toward integrating pricing, demand, and revenue optimization , 2014 .

[30]  Chris Nash,et al.  High-Speed Rail & Air Transport Competition , 2008 .