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| Research on the Operating Environment Cost Nonlinear Estimation Metliods of the Green High - speed Railway |
| DUAN Xiao - chen1，TIAN He2，ZHANG Xiao - ping3 |
| (1. Shijiazliuang Tiedao University， Shijiazhuang，Hebei 050043， China; 2. China Railway 17th Bureau Group Co. Ltd，Taiyuan，Shanxi 030032，China; 3. Shijiazliuang University of Economics，Shijiazliuang，Hebei 050043，China) |
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Abstract Research purposes ： To define the influential content of the operating environment of high - speed railway， and estimate its operating environment cost，on the basis of calculation content of t!ie operating environment of high - speed railway， the cost - significant ( CS) theory and neural network method were put forward to predict the environmental costs of proposed operating projects in this paper. Meanwhile， Changsha - Yiyang inter - city railway environmental costs prediction results proved the applicability and accuracy of t!ie model. Research conclusions：( 1) Use the cost - significant ( CS) theory to confirm cost - significant items of high - speed railway，and then it can simplify the workload of environment cost estimation. (2) Neural network method has applicability in high - speed railway operating environment cost estimation. ( 3 ) High - speed railway operating cost database need to be supplemented further in order to improve accurate estimation. (4) The nonlinear estimation methods of high - speed railway which suggested in this paper，can be applied in operating environment cost estimation.
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Received: 10 November 2015
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2016, Vol. 33 
