绿色高铁运营环境成本非线性估算方法研究  

Research on the Operating Environment Cost Nonlinear Estimation Methods of the Green High-speed Railway

作　　者：段晓晨[1] 田贺[2] 张小平[3] 

机构地区：[1]石家庄铁道大学,石家庄050043 [2]中铁十七局集团有限公司,太原030032 [3]石家庄经济学院,石家庄050043

出　　处：《铁道工程学报》2016年第5期123-128,共6页Journal of Railway Engineering Society

基　　金：教育部人文社会科学研究规划基金项目(11YJAZH121);河北省高层次人才资助项目;河北省交通厅科技计划项目;河北省软科学工程建设管理研究基地;河北省教育厅人文社科重点研究基地(工程建设管理)

摘　　要：研究目的:为界定高铁运营环境成本的影响内容并估算其运营环境成本,本文在研究高铁运营环境成本计算内容的基础上,利用显著性成本方法以及人工神经网络的方法对拟建工程的运营环境成本进行预测,同时以长益城际铁路进行实例验证,结果表明,对于预测高铁全生命运营环境成本而言,该模型适用性及准确性均比较高。研究结论:(1)通过显著性成本方法确定高铁工程的显著性成本项目,从而能够在很大程度上简化环境成本的估算工作量;(2)人工神经网络在高铁环境成本估算方面具有适用性;(3)高铁运营环境成本的数据库需进一步完善,从而提高估算的精确性;(4)本文提出的高铁运营环境成本非线性估算方法及评价体系可应用于高铁项目运营环境成本的估算。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 the 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 the 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.

关 键 词：绿色高铁 运营环境成本 显著性成本 人工神经网络 

分 类 号：X828[环境科学与工程—环境工程]