绿色高铁建设环境成本CS、BPNN估算方法研究

刘敬严,陈蕾,宋宁,段晓晨

铁道工程学报 ›› 2015, Vol. 32 ›› Issue (7) : 111-116.

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铁道工程学报 ›› 2015, Vol. 32 ›› Issue (7) : 111-116.
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绿色高铁建设环境成本CS、BPNN估算方法研究

  • 刘敬严,陈蕾,宋宁,段晓晨
作者信息 +

Research on the Construction Environmental Cost Estimation of Green High - speed Railway Based on CS and BPNN

  • LIU Jing - yan,CHEN Lei,SONG Ning,DUAN Xiao – chen
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文章历史 +

摘要

研究目的:如何界定高铁建设环境影响内容、估算环境成本是高铁实现绿色工程的重要内容。本文在界 定高铁建设环境成本的计算内容基础上,运用显著性成本方法(CS)建立高铁建设环境成本数据库,运用BP 神经网络方法预测拟建工程全生命建设环境成本,并以长益城际铁路进行实例验证,结果表明该模型适用性 强,对高铁全生命建设环境成本预测准确性高。
研究结论:(1)通过CS理论提取高铁工程显著性环境成本项目可以大幅简化环境成本估算工作量; BP神经网络在高铁项目环境成本估算方面具有适用性;(3)为更准确估算环境成本,需进一步完善高铁项 目建设环境成本数据库;(4)本文提出的高铁建设环境成本估算方法和评价体系,可应用于铁路行业高铁项 目的建设环境成本估算和控制等工作。

Abstract

Research purposes : It is important to analyze construction environmental impact factors and estimate environmental cost for green engineering construction. Content of high - speed railway construction environmental cost was analyzed according to the definitions. The cost - significant (CS) theory was put forward to find out Cost - significant Items (CSIs) based on the data and information of completed projects. BP neural network method was introduced to predict the environmental costs of proposed construction project based on environmental cost database. Changsha - Yiyang inter - city railway environmental costs prediction results proved the accuracy.
Research conclusions : (1) Significant cost theory can greatly simplify the workload by finding out cost - significant items when estimating high - speed railway construction environmental cost. (2) BP neural network has applicability in high - speed railway construction environment cost estimation. (3) High - speed railway construction environment cost database need to be supplemented further for more accurate estimation. (4) The construction environmental cost evaluation method,put forward in this paper,can be applied in construction environmental cost estimation and control.

关键词

绿色高铁 / 建设环境成本 / 人工神经网络 / 显著性成本

Key words

green high - speed rail / construction environmental cost / artificial neural network / cost significance

引用本文

导出引用
刘敬严, 陈蕾, 宋宁, . 绿色高铁建设环境成本CS、BPNN估算方法研究[J]. 铁道工程学报, 2015, 32(7): 111-116
LIU Jing - yan, CHEN Lei, SONG Ning, et al. Research on the Construction Environmental Cost Estimation of Green High - speed Railway Based on CS and BPNN[J]. Journal of Railway Engineering Society, 2015, 32(7): 111-116
中图分类号: C935    X828   

参考文献

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基金

教育部项目(11YJAZH121);河北科技厅项目(14456104D);河北省社科基金项目(HB14GL021);河北省软科学研究基地项目:工程 建设管理研究(12457206D-14);河北省教育厅人文社科重点基地项目

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