A major infrastructure risk-assessment framework: Application to a cross-sea route project in China
A major infrastructure risk-assessment framework: Application to a cross-sea route project in China
复制标题
重大基础设施风险评估框架：在中国跨海航线项目中的应用
DOI：
10.1016/j.ijproman.2015.12.006
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发表时间：
2016-10
影响因子：
8
通讯作者：
Yulong Li
中科院分区：
文献类型：
--
作者：
Tao Wang;Shuo Wang;Limao Zhang;Zhiye Huang;Yulong Li
基于层次分析法（AHP）风险评估模型，提出了重大基础设施风险评估框架（MIRAF），并将其应用于广东省-海南岛跨海通道项目。对跨海通道的两种方案，即隧道方案和桥梁方案，在不同的项目时间跨度内进行了风险比较。结果表明，桥梁方案的风险大于隧道方案，且随着时间的推移，风险会增加。在实施隧道计划期间，若干风险因素，包括本地渔民的商业利益受损、稀有及濒危动物的生境受损、金融危机及海上风暴潮等，被认为是重要的因素。该方法可作为识别、分析和评估重大基础设施项目风险的决策工具。
This paper proposes a major infrastructure risk assessment framework (MIRAF) based on an adapted Analytic Hierarchy Process (AHP) risk assessment model, and applies it to a cross-sea route project that is expected to connect Guangdong Province and Hainan Island. Two alternative schemes for the cross-sea route namely the tunnel scheme and the bridge scheme, are compared in terms of risks during their different project time spans. Results indicate that the risk of the bridge scheme is larger than that of the tunnel scheme, and that the risk will increase over time. Several risk factors, including damage to commercial interests of local fishermen, damage to habitat for rare and endangered animals, financial crisis and sea storm surge, are identified as significant factors during the implementation of the tunnel scheme. This approach can be used as a decision tool to identify, analyze and assess the risks existing in the major infrastructure projects.
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影响因子：
8
作者：
Qian Shi;Y. Liu;J. Zuo;Ningxia Pan;G. Ma
通讯作者：
Qian Shi;Y. Liu;J. Zuo;Ningxia Pan;G. Ma
影响因子：
8
作者：
Yao-Chen Kuo;Shih-Tong Lu
通讯作者：
Yao-Chen Kuo;Shih-Tong Lu
影响因子：
7.4
作者：
T. Zayed;Luh-Maan Chang
通讯作者：
T. Zayed;Luh-Maan Chang
影响因子：
3.3
作者：
Caitlyn Davis-McDaniel;M. Chowdhury;W. Pang;Kakan C. Dey
通讯作者：
Caitlyn Davis-McDaniel;M. Chowdhury;W. Pang;Kakan C. Dey
DOI：
10.1111/j.1752-1688.2009.00357.x
发表时间：
2009-10
期刊：
JAWRA Journal of the American Water Resources Association
影响因子：
--
作者：
Quanfa Zhang
通讯作者：
Quanfa Zhang