Chapter
Apr 26, 2012
The Macro-Performance of China Railway Transportation: Based on Combinatorial DEA Algorithms Model
Publication: International Conference on Transportation Engineering 2007
Abstract
This paper is aimed to evaluate and identify the macro-performance of China railway transportation in the past 12 years. Based on the collected data of railway transportation, this paper puts forward a combinatorial algorithm model. This algorithm gives priority to the DEA model. For solving the overloading problem in complex information system, the Rough Set theory can obtain the regulation of the complex DUM in me DEA model. Then the DEA model can evaluate the relative performance of China railway transportation without the restriction of the data dimension. Finally, the benchmarking is used to improve the relative performance. This process identifies the macro-performance of China railway transportation, which is compared with report issuing by the ministry of rail. This paper also affirms the rationality and feasibility of the combinatorial DEA algorithm model.
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Published In
International Conference on Transportation Engineering 2007
Pages: 624 - 629
Copyright
© 2007 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Algorithms
- Benchmark
- Business management
- Data collection
- Engineering fundamentals
- Engineering mechanics
- Feasibility studies
- Information systems
- Infrastructure
- Laws and regulations
- Legal affairs
- Management methods
- Mathematics
- Methodology (by type)
- Overloads
- Practice and Profession
- Rail transportation
- Research methods (by type)
- Static loads
- Statics (mechanics)
- Systems engineering
- Transportation engineering
Authors
Affiliations
School of Public Management, Southwest Jiao Tong University, P.O. Box549, Chengdu, Sichuan, P.R China. E-mail: [email protected]
School of Public Management, Southwest Jiao Tong University, P.O. Box549, Chengdu, Sichuan, P.R China. E-mail: [email protected]
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