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1. INTRODUCTION

AN ASSESSMENT OF THE DESIRABILITY OF ON-TRACK COMPETITION: THE IPSWICH-LONDON ROUTE First Conference on Railroad Industry Structure, Competition and Investment, Toulouse, November 7-8, 2003 ANTHONY GLASS e-mail:aglass@its.leeds.ac.uk. 1. INTRODUCTION.  A higher or lower service frequency

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1. INTRODUCTION

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  1. AN ASSESSMENT OF THE DESIRABILITY OF ON-TRACK COMPETITION: THE IPSWICH-LONDON ROUTEFirst Conference on Railroad Industry Structure, Competition and Investment, Toulouse, November 7-8, 2003ANTHONY GLASSe-mail:aglass@its.leeds.ac.uk

  2. 1. INTRODUCTION  A higher or lower service frequency  Desirability depends on the accompanying fare changes

  3. 2. BARRIERS TO SERVICE COMPETITION  Mechanism for the moderation of competition  Approach to track access charging  Content of a franchise agreement  Capacity constraints

  4. 3. ENTRY STRATEGIES  Vertical product differentiation  Horizontal product differentiation  Niche market entry  Mixed strategies

  5. 4. GAME THEORY-SEQUENTIAL EQUILIBRIUM  When a strategy is optimal for the remainderof the game based on a rational interpretation of previous play and a rational expectation of future play

  6. 5. GAME THEORY-REPEATED GAME ACROSS SUBSETS  First version of the chain-store game  M+1 players; 1,…,M; 1,…,P; M [1, P]; M<P; and m1 enters p1

  7. 6. GAME THEORY-REPEATED GAME WITHIN A SUBSET  Second version of the chain-store game  V[1, ) and V+1 players    T=max[S+(p-1)]

  8. 7. GAME THEORY-REPUTATION ACQUISITION  Ad hoc assumptions   Fight is defined as a fare cut and accommodate is defined as no fare change or a fare increase  ;Bayes theorem; weightedby elasticity and size of cut

  9. 8. TWO PLAYER SERVICE FREQUENCY GAMES 1. Entrant Higher/Lower No Move 2. Incumbent Fight Accommodate

  10. 9. PAY-OFFS

  11. 10. SOLVING THE TWO PLAYER GAMES  A weighted or unweighted average t is calculated  t <t *  , ,  and  e.g. < and >0 such that +>

  12. 11. CASE STUDY Buffer Station A (Norwich) Ipswich London Buffer Station B (Brighton)

  13. 12. DATA  Network information- timetable, fares, ticket shares by operator and base demand for each OD pair  DETR (2000)1997-1999 modal shares  Tastes and preferences- generalised journey time elasticities of demand and rail service valuations  Variable cost per train km and variable cost per train hour

  14. 13. EMPIRICAL METHODOLOGY  A sample of 100 individuals  Monopoly scenarios and two timetable changes  10% and 20% fare increase and decrease, and no fare change  Profit maximising fare combination  Nash-Bertrand equilibrium and sequential equilibrium

  15. 14. SOCIAL WELFARE

  16. 15. OPERATOR PROFIT

  17. 16. REPUTATION ACQUISTION  SE(H) represents a costless investment and the biggest possible contribution to reputation acquisition  Reputation acquisition costs so AR will probably play no change

  18. 17. CONCLUSIONS  Morehead-on competition can result in a rise in social welfare  More uncertainty about the revenue stream of a TOC  Limited spare capacity

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