Chapter
Apr 26, 2012
Nash Equilibrium of Public Transport Service Competition
Authors: Jing Li [email protected] and Center of Research on Regional Planning and Transports System, University of Shanghai for Science and Technology, Shanghai, China, 200093 and Bingquan Fan [email protected]Author Affiliations
Publication: International Conference on Transportation Engineering 2007
Abstract
This article looked through public transport operation scale decision-making process in planning with Nash Equilibrium from Game Theory in order to optimize the use of public transport resources. With defined interest, cost and response functions for public transport services, it built a model to describe the competition between public transport service sectors like bus companies and managed to reach Nash Equilibrium. Result of an example proves that if bus companies make separate decisions, they will put too many vehicles into operation. As a consequence, roads under overuse, cost increase, and passengers scatter. Public transport system failed to reach the optimization. That's why systematical macro-coordination on public transport planning is necessary and significant.
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© 2007 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Benefit cost ratios
- Buses
- Business management
- Decision making
- Engineering mechanics
- Equilibrium
- Financial management
- Game theory
- Government
- Highway transportation
- Infrastructure
- Organizations
- Practice and Profession
- Public services
- Public transportation
- Statics (mechanics)
- Transportation engineering
- Transportation management
- Vehicles
Authors
Affiliations
Shanghai Jiaotong University, 1954 Huashan Rd. 416(S) Lianxing Building, Shanghai, China, 200030. E-mail: [email protected] and Center of Research on Regional Planning and Transports System, University of Shanghai for Science and Technology, Shanghai, China, 200093
Center of Research on Regional Planning and Transports System, University of Shanghai for Science and Technology, Shanghai, China, 200093. E-mail: [email protected]
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